You can now get Intel powered (as well as Snapdragon) powered Surface Pro 11 and Surface Laptop 7 for business.
Image (c) Microsoft
Microsoft has given their Surface Copilot+PC the “Intel” treatment today with a new varient of their Copilot+ Surface Pro 11 and Surface Laptop 7. These follow the new sleeker design of the Snapdragon versions released last year.
Powered by Intel Lunar Lake processors, these are designed for business users who still need or want the latest Surface technology but prefer the power and versatility of an x86 processor over the Snapdragon ARM devices. Despite the huge amount of support that Windows on Arm (WoA) now has, there are still many legacy applications that aren’t compatible with Arm or don’t run well with x86/x64 emulation.
Adding new options to the current line up, these new Intel-driven Surface devices will coexist with the Snapdragon-powered cousins, will be exclusively available through Microsoft’s business online store and via Surface for Business commercial channels only.
Intel Inside!
Both the new Surface Pro 11 and Surface Laptop 7 offer configurations with the Intel Core Ultra 5 or Ultra 7 series 2 processors. The Intel powered Surface Laptop 7 is available in 13.8in or 15in display options.
These can be then be configured with 16GB or 32GB of RAM and storage options of 256GB, 512GB, or 1TB.
Being a Copilot + PC these also have dedicated NPUs, delivering 40 TOPS on the Ultra 5 varient and 48 TOPS on the Ultra 7 models.
Battery and Performance Boosts
The Intel powered Surface Laptop 7 for Business has over 20 hours battery life. Surface Pro 11 boasts over 14 hours!
Microsoft say these new devices deliver up to 26% faster performance when multi-tasking, up to 2x faster graphics performance, and 3x the battery life when on Teams calls.
The same, yet different!
While the Intel version of the Surface Pro 11 and Laptop 7 share many similarities with the Snapdragon cousins, the Intel versions come with a few subtle yet significant enhancements.
Both devices feature a much sought after anti-reflective screens to cut down on glare and reflection which should help improve remote and outside working. Surface Laptop 7 also. Comes with a card-reader variant (option), and the Surface Pro 11 gets a built-in NFC reader.
WiFi gets an upgrade too with support for the latest Wi-Fi 7 connectivity, added ports and even customisae haptic typing alongside a slighly larger touchpad.
Last, but not least, Surface Laptop 7 will also be available in a 5G variant (coming later this year), a feature previously only available on the Surface Pro.
Unlike the Snapdragon versions, the Intel models come in either classic Platinum or Black only.
Anew Surface Dock too
Microsoft also introduced the “Surface USB4 Dock,” a more compact and budget-friendly version of the Surface Thunderbolt 4 Dock. Released last year.
Surface USB4 Dock
The USB4 Dock can output to two 4K displays, using both the HDMI and USB-C ports on the back.
This is priced at around £100 cheaper too, though does ship with a few less ports. This makes it an attractive option for organisations that need docking solutions and are keen to keep the brand consistent with the device. Here you get two USB-C ports and one USB-A port, along with a HDMI port and Ethernet jack.
There is no Surface Connector Port on this model.
Pricing
Pricing for the Intel varients of the Surface Pro 11 and Laptop 7 are more expensive that the Snapdragon counterparts.
The Snapdragon devices start from $1,099, whereas the Intel models kick off at $1,499.
Availability
Both the Intel-powered Surface Pro 11 and Surface Laptop 7 are available for pre-order now.
Surface USB4 Dock is also available for pre order.
Copilot and Microsoft 365 continues to evolve and add features. The latest feature introduces a seamless method to transform email threads into productive meeting agendas with a single click.
This new feature is designed to streamline the process, ensuring that your meetings are well-organized and productive.
Making Email Conversations more effective
With Microsoft 365 Copilot’s new functionality, Microsoft are making scheduling of meetings from an email (that needs a meeting) super easy.
Copilot can now reason over all related emails within the thread and creates a thorough meeting agenda with a summary of the conversation within the email chain. This captures the main topics and any early decisions, making sure everyone is up to speed and ready to jump in.
Here’s how to use it:
Open an email thread on a topic for which you would like to schedule a meeting from.
Click “Schedule with Copilot” button found in the top menu bar of the email.
Click the “Insert” button to populate the agenda in your invite. You can then edit and tweak the agenda as needed to ensure it suits your needs.
Once done, you’ve used Copilot to create a Meeting and agenda based on the threads and topics in the email chain without having to plough though it yourself. This can help you ensure relevant topics and themes are brought into the agenda.
Why would you want Copilot to do this for you?
We all had email chains that need to be a meeting at somepoint. Copilot takes most of the effort out of this and ensures that you get a meeting agenda that covers the key themes from a email chain. Copilot also attaches a copy of the original email to the meeting invite and helps ensure that the right people are invites. So all you need to do is choose the time for the meeting. This can be a real timesaver for everyone.
Conclusion
By transforming email threads into organised meeting agendas, Microsofft 365 Copilot in (new) Outlook can help ensures that everyone stays informed and meetings run smoothly.
I personally love this new feature which really helps to ensure all themes and concerns are raised as an agenda in the meeting.
Why not give it ago in your next meeting scheduling task.
This week, in a significant development amidst the backdrop of intensifying AI competitiveness, OpenAI has unveiled ChatGPT Gov
This customised version of the AI-powered chatbot platform is tailored specifically for U.S government agencies, providing them with an advanced tool to access and utilise Open AI technology.
Microsoft announced back in 2023 that its Azure OpenAI Service was available for Azure Government customers. The new service will allow government agencies to use generative AI capabilities in a way that meets security and privacy requirements. OpenAI can now also be deployed in Microsoft Gov Data Centres.
What is ChatGPT Gov?
So ChatGPT Gov mirrors many capabilities of OpenAI’s enterprise-focused tier, ChatGPT Enterprise. By leveraging this platform, Open AI say that government agencies can deploy specific OpenAI models on both Microsoft Azure commercial and government clouds as well as using Microsoft’s own Azure AI models for example. This integration brings enhanced management of security, privacy, and compliance concerns, which is crucial for handling non-public sensitive and classified data.
ChatGPT Gov also aims to streamline internal authorisation processes, making it easier for agencies to implement OpenAI’s tools effectively as easily with the relevant guard rails in place.
What about Azure Open AI for Gov
Microsoft Open AI, enables federal, state, and local government agencies to use GPT-3, GPT-4 and 4o along with embeddings via the Azure OpenAI Service REST APIs. This capability helps to improve natural language-to-code translation, semantic search, content generation, and summarisation and for Gov to build and use Microsoft Open AI services across Gov cloud.
Gen AI in Government
Since its introduction, ChatGPT has already seen extensive adoption across the U.S. government as well as here in the UK. I’m. Personally working with a dozen or so local governments and councils here in the UK on AI adoption.
Open AI says that more than 90,000 users from more than 3,500 federal, state, and local agencies have collectively sent over 18 million messages to support their daily operations. This widespread usage demonstrates Open AI and Microsoft’s potential to transform government workflows and decision-making processes.
What about Copilot
While ChatGPT Gov offers a robust AI solution for government agencies, it’s worth exploring how Microsoft 365 Copilot also serves these needs. Microsoft
For many organisations using or exploring Gen AI tools like ChatGPT, many are using a combination of tools and services from different vendors. Open AI and Microsoft are tightly partnered.
Microsoft 365 Copilot is built on Open AI (which in turns runs in Microsoft Azure) and integrates seamlessly with existing Microsoft 365 tools, providing personalised assistance across a range of applications such as Word, Excel, and Outlook and also supports the building (both professional and low code) of autonomous AI agents, and scheduled prompts (coming soon).
This integration ensures that users can enhance productivity and streamline tasks within the familiar Microsoft ecosystem. So how does Microsoft 365 Copilot differ to ChatGPT?
ChatGPT
Targeted for AI-powered chat and conversation but also supports connectors and extebsibikity to other services via extensions and APIs.
Recently launched the ChatGPT Gov version for U.S. government agencies and are expected to do similar in other global regions.
Deployable on Microsoft Azure commercial and government clouds
Doesn’t provide native integration into line of business office apps and services like Office 365, Power Platform and Fabric.
Microsoft 365 Copilot
Customised version of ChatGPT that runs in Microsoft 365 Tennant boundaries.
Provides chat based conversations and access to company agents and connectors on PAYG basis or via Microsoft 365 Copilot subscription.
Embedded within Microsoft 365 applications like Word, Excel, Teams, and Outlook as well as Dynamics 365 and Power Platform.
Designed to enhances productivity and efficiency within the existing Microsoft ecosystem and seen as add on to Microsoft 365 on a per user per month billing method.
Can provides contextual assistance and automation for daily tasks and workflows through agents and autonomous agents (public preview).
In conclusion, while both ChatGPT and Microsoft 365 Copilot are powerful AI tools, they cater to slightly different use cases
US Government agencies may find ChatGPT Gov particularly beneficial for secure, AI-driven interactions (in place of the general version of ChatGPT) , whereas Microsoft 365 Copilot excels in enhancing productivity and providing natively and seemlessly integration into their wider app services and data. Gov agencies using Microsoft 365 Copilot and Azure AI or Open AI deployed in Azure also benefit from enhanced controls and security protection.
It’s great to see Open AI providing dedicated models and instances for central and federal governments.
Microsoft announced last week (15th Jan) that Microsoft 365 Copilot Chat is coming to every Microsoft 365 Commercial Customer regardless of whether or not they have paid Microsoft 365 Copilot licenses and what’s more we now get access to use agents with company data grounding support. Along with it comes a new pay-as-you-go tier that allows employees to access everything from chatbots to agents without the need for a Microsoft 365 Copilot license.
While Microsoft is still confident that the full Microsoft 365 Copilot remains “our best in class personal AI assistant for work“, the new pay-as-you-go tier means organisations can start using the technology at a much lower entry point and look to address key business cases rather than going full in on Microsoft 365 Copilot. .
“Copilot Chat enables your entire workforce — from customer service representatives to marketing leads to frontline technicians — to start using Copilot and agents today”. Jared Spataro | Chief Marketing Officer | AI at Work | Microsoft.
What is Microsoft 365 Copilot Chat?
Microsoft 365 Copilot Chat is Microsoft’s AI-powered chat feature designed to empower every person in every organisation to leverage Generative AI to make their “work lives easier and more efficient”.
For the employee, Microsoft Copilot Chat is a “personal assistant” they can chat with to get get answers, understand things better and get things done faster. Copilot Chat is It’s part of the broader Microsoft 365 Copilot suite but focuses specifically on enhancing communication and collaboration through chat.
How is Copilot Chat Different from Microsoft 365 Copilot?
The main differences between Microsoft 365 Copilot Chat and Microsoft 365 Copilot is three-fold.
Chat within Microsoft 365 Copilot provides work-grounded chat which means that Copilot can reason over data within your Microsoft 365 organisation such as files, SharePoint sites, your OneDrive, people (within Entra ID), your meetings, chat and email etc. Microsoft 365 Copilot Chat cannot access this data unless you “paste” into a chat window.
Copilot within the Office 365 Apps such as Outlook, Teams, Excel, Word etc is only available with Microsoft 365 Copilot.
Microsoft 365 Copilot is a paid add-on, where as Microsoft 365 Copilot Chat is included for free within your core Microsoft 365 licensing.
Microsoft Copilot Chat – Beyond Web Grounded Chat!
I’m personally not a fan of the name Microsoft 365 Copilot Chat because I do think it confuses people. The point I want to bring out here and why this was worthy of a post, is that previously, Copilot Chat (as it was called) only had access to data on the web and did note have the ability to leverage any of the new AI features such as Agents.
This has now changed. As the table above shows, with Microsoft 365 Copilot Chat, organisation will be able to create agents that do have access to data stored or connected to your Microsoft 365 tenant and also (and this is big) the ability for organisations to build and use autonomous agents (agents that can operate independently of a user).
The use of these new AI capabilities are paid for using a PAYG model. This means non Microsoft 365 Copilot users will have access to AI agents (for example in SharePoint) even if they themselves do not have a Microsoft 365 Copilot license.
What does Microsoft 365 Copilot Chat Provide?
Key Features of Microsoft 365 Copilot
Copilot Chat
Free, secure AI chat powered by GPT-4 and GPT-4o.
Ability to use Copilot Agents for automating tasks directly in the chat.
Support for file uploads in chat for summarising documents, analysing data, and suggesting improvements.
Support for Copilot Pages
Collaborate in real-time with AI and team members.
Integrate content from Copilot, files, and the web.
Create AI-generated images for campaigns and social media.
Agents
Ability to create and use agents using natural language to automate repetitive tasks.
PAYG / metered pricing for agents with IT control over deployment and management rather than requiring all users to have a Microsoft 365 Copilot license.
Copilot Control System
Enterprise data protection (EDP) for privacy and security.
Enables IT to better govern access, usage, and lifecycle of Copilot and agents.
Allows for measurement and reporting capabilities just like other Copilot Services.
Use Case Examples
A couple of use case scenarios are;
A customer service rep can ask a customer relationship management (CRM) agent for account details before a customer meeting.
A service or field service agent can access step-by-step instructions or real-time product information from information stored in SharePoint or Dynamics 365.
A sales person can get help with positioning a product based on information on solution propositions or marketing collateral.
How much does it cost?
Understanding the charges is not super straight forward to map. For comparison though, a Microsoft 365 Copilot license costs around $30 per user per month, so use this as a basis for comparison.
In another blog post, Richard Riley, General Manager of Power Platform at Microsoft said that “usage of agents is measured in ‘messages’ and the total cost is based on the sum of messages used by your organization.“
So what does that mean? Well, Microsoft now offers two ways for organisations to access the pay-as-you-go version of Microsoft 365 Copilot Chat:
Track each “message” sent to the AI whereby each message costs $0.01, billed monthly.
Pre-buying a pack of messages. This works a bit like a mobile data plan. As an example, you can buy 25,000 messages for $200 a month
The actual cost vary based on the type of response you need with responses that need generative AI costing more than responses that don’t.
Web-based answer: Free / no-cost
Classic answer: 1 message
Generative answer: 2 messages
Answers pulling data from company’s own systems (e.g., SharePoint): 30 messages
This paid capability is of course optional and organisations can decide whether to turn it ‘on’ or ‘off’ in Copilot Studio.”
Riley introduced the concept of “autonomous actions,” describing them as “generatively orchestrated triggers, topics, data connectors, and workflows, visible in the activity map displayed in generative orchestration mode“.
These are also available as pay-as-you-go, with a cost of 25 messages each time they act.
Here’s some costed use examples…
An agent answering customer questions online could use 500 classic answers and 2,000 generative ones, costing $45 for those 4,500 messages.
Another agent answering HR questions internally using Microsoft Graph data might use 200 generative and 200 tenant Graph messages, costing 6,400 messages or $64 for the day.
This approach allows businesses to fine-tune their AI usage to meet their specific needs, addressing concerns about the high costs of deploying these tools across enterprises. It also helps cost modeling certain scenarios much easier and provides an alternative to just giving every person a $30 per month Copilot License.
Using Microsoft 365 Copilot Chat
Assuming IT have enabled this in your environment, you can try this by navigating to https://m365copilot.com or by downloading the Microsoft 365 Copilot App from your preferred app store.
The integration of artificial intelligence (AI) into enterprise environments has introduced new security concerns. As adoption of AI continues at “cautious” pace, organisations must ensure the safety of the hundreds of AI apps that employees use (or try to use) sanctioned or unsanctioned as well as any AI applications built or customised by the organisation. This affects both data governance, exposure, and leakage as well as compliance.
I have aimed to not only compare their key features, similarities, and differences, but also to look at how both offerings can indeed help organisations based on specific business scenarios and needs.
Cisco AI Defense
Overview
Due to be released in March 2025, Cisco’s new AI Defense works slightly differently to Microsoft’s offering and is focused on securing AI applications throughout their entire lifecycle. AI Defense integrates with Cisco’s extensive network infrastructure portfolio providing specialised AI security measures.
Business and technology leaders can't afford to sacrifice safety for speed when embracing AI. In a dynamic landscape where competition is fierce, speed decides the winners. Fused into the fabric of the network, Cisco AI Defense combines the unique ability to detect and protect against threats when developing and accessing AI applications without tradeoffs". Jeetu Patel | Exec VP | Cisco.
Whilst not released yet, it will I have based this product release information I have read.
Cisco AI Defense focused on two primary areas of protection.
Accessing AI Applications: Recognising that whilst third-party AI applications can significantly boost productivity but may pose risks such as data leakage or malicious downloads. Cisco AI Defense is designed to give IT and SecOps full visibility into app usage and can enforce policies to ensure safe, secure access.
Building and Running AI Applications: Cisco acknowledge that developers require the freedom to innovate without worrying about vulnerabilities or safety issues in their AI models. AI Defense discovers your AI footprint, validates models to identify vulnerabilities, and applies guardrails to enforce security measures in real-time across both public and private clouds
Key Features
End-to-End Protection: Protects both the development and use of AI applications, ensuring safety and security throughout the AI lifecycle.
Network-Level Visibility: Leverages Cisco’s unmatched network visibility and control to detect and protect against threats.
AI Model and Application Validation: Identifies potential safety and security risks with automated vulnerability assessments.
Real-Time Protection: Offers robust real-time protection against adversarial attacks, including prompt injections, denial of service, and data leakage.
AI Cloud Visibility: Automatically inventories AI models and connected data sources across distributed environments.
Microsoft Defender for Cloud and AI
Overview
Microsoft Defender for Cloud and AI is designed to offer comprehensive security for AI applications and cloud services. Being a Microsoft product, it integrates seamlessly with Microsoft 365 and their wider cloud ecosystem, providing robust threat protection and security posture management. It also supports multi-cloud environments making it suitable for enterprise organisations.
Microsoft Defender for Cloud and AI’s primary protection areas are based upon:
Threat Protection and Security Posture Management: Microsoft Defender for Cloud and AI provides real-time threat protection for AI workloads and visibility into AI components, identifying vulnerabilities and offering built-in recommendations to strengthen security.
Integration and Continuous Monitoring: It integrates with Defender XDR for centralised alerts and continuous monitoring, ensuring security measures are enforced across hybrid and multicloud environments.
Key Features
AI Threat Protection: Provides real-time threat detection for generative AI applications, including data leakage, data poisoning, jailbreak, and credential theft.Real-time identification and mitigation of threats to generative AI applications.
AI Security Posture Management: Continuous monitoring and management of the security posture of AI applications, with automated vulnerability discovery and remediation recommendations.
Cloud App Security: Protection for SaaS applications, offering visibility into cloud app usage and protection against threats.
Prompt Evidence: Includes suspicious segments from user prompts and model responses in security alerts.
Extended Detection and Response (XDR): Integration with Defender XDR to centralise AI /workload alerts and correlate incidents for efficient incident management.
Integration with Microsoft Ecosystem: Seamlessly integrates with Azure, Microsoft 365, and other Microsoft security solutions and workloads.
Comparative Analysis
In short, both Microsoft and Cisco are providing products which complement their wider security portfolios to help customers better protect their organisations in the rapidly evolving world and adoption of AI technologies.
Similarities
AI Security: Both solutions focus on helping organisations secure AI applications and provide end-to-end visibility into their AI workloads.
Real-Time Threat Detection: Each offers real-time threat detection and protection, ensuring prompt identification and mitigation of security threats.
Integration with respective Ecosystems: Both solutions integrate with their respective broader security ecosystems (Cisco for Cisco products, Microsoft for Microsoft products).
Differences
Whilst both focus on security across the customers domain with a focus on understanding and protecting against (and keeping control of) AI based applications, there are clear, there are some subtle and unique differences.
Scopes of Use
Cisco AI Defense Specialises more in securing AI applications throughout their lifecycle including home grown developed services, where as Microsoft Defender for Cloud and AI is more focused on providing comprehensive security for both AI applications and SaaS applications.
Platform Integration
Cisco AI Defense provides deep integration with Cisco’s network infrastructure and other Cisco security products. Microsoft Defender for Cloud and AI has seamless integration with the wider Microsoft’s ecosystem, including Azure, Microsoft 365, Dynamics, Power Apps as well as being part of the wider Microsoft security solutions.
Capabilities
Cisco AI Defense places a key emphasis on AI-specific security measures that include automated vulnerability assessments and real-time protection against adversarial attacks.
Whilst similar in approach, Microsoft Defender for Cloud and AI offers broader security features, including threat protection for both AI and cloud services, and integrates with Microsoft’s XDR for centralised incident management.
When to choose which?
When to choose Cisco AI Defense
Best For: Organisations with a significant focus on AI development and deployment, particularly those heavily invested in Cisco’s network infrastructure.
Primary Benefits: AI model validation, runtime protection, and extensive integration with Cisco’s network and security products.
When to Choose Microsoft Defender for Cloud and AI
Best For: Organisations utilising a mix of AI and SaaS applications, especially those heavily invested in the Microsoft ecosystem (Azure, Microsoft 365, etc.).
Primary Benefits: Comprehensive threat protection, tight integration with Microsoft 365, Azure, Dynamics 365 and existing Microsoft security solutions.
Case Scenario: Ficticous Enterprise Organisation
Customer Profile: “A large enterprise organisation with a complex infrastructure, several hundred applications (mainly SaaS) as well as in-house and hosted custom applications running in Public Cloud (Azure), mix of productivity tools (Microsoft 365), AI-powered assistants (Microsoft Copilot and Chat GPT), multi-campus network environment (Cisco Meraki), Cloud Voice (Microsoft Teams), Space Management Tools (Cisco Spaces) and network performance monitoring (Cisco ThousandEyes).
Organisation has and uses Microsoft 365 E5. They have a contact centre based on Cisco Webex and use Microsoft Teams Meeting Rooms with Cisco endpoints. User devices as mix of Lenovo and Surface. They also use Cisco Duo. They have a Cisco EA.
They are in the middle of a Microsoft 365 Copilot pilot with around 20% of their organisation but aware that some other departments may have other shadow AI tools. They are also looking at building their own apps that will use a magnitude of AI agents and connectors.”
Cisco AI Defense vs Microsoft Defender for Cloud and AI
Given the complex infrastructure and diverse applications of this large enterprise organisation, the differences, strengths and similarities of each really stand out. Appreciating this a “made up” organisation, you can see where and why each product has its strength and merits.
Microsoft Defender for Cloud and AI
Given the extensive use of Microsoft services and the presence of Microsoft 365 E5, Microsoft Defender for Cloud and AI is highly recommended. It offers comprehensive security coverage for both AI applications and SaaS applications, integrating seamlessly with the existing Microsoft ecosystem. The core services are also included within the Microsoft 365 E5 subscription.
Key Benefits:
Broad Threat Protection: Covers both AI applications and cloud services, ensuring robust security across the organization.
Integration with Microsoft Ecosystem: Seamless integration with Azure, Microsoft 365, and the organisations other Microsoft applications and security solutions.
Centralised Management: Facilitates centralised management and monitoring, improving operational efficiency.
Cisco AI Defense
Considering the organisation’s significant investment in Cisco networking solutions and the presence of Cisco Meraki, Cisco Spaces, and Cisco ThousandEyes, Cisco AI Defense is also recommended. It provides specialised AI security measures and integrates well with Cisco’s network infrastructure.
Key Benefits:
AI-Specific Security: Focuses on securing AI applications throughout their lifecycle, providing tailored protection.
Deep Integration with Cisco Infrastructure: Enhances overall network security by integrating with Cisco’s network and security products.
Real-Time Protection: Offers robust real-time protection against adversarial attacks, ensuring continuous integrity of AI operations.
Combined Approach
Given the organisation’s diverse IT infrastructure and the need for comprehensive security, a combined approach using both Microsoft Defender for Cloud and AI and Cisco AI Defense is advisable. This dual solution ensures that all aspects of the IT infrastructure are covered, from AI applications to cloud services and networking.
By leveraging both solutions, the organization can achieve a robust, integrated security framework that covers all their IT needs, ensuring comprehensive protection and efficient management.
Budget and Management Considerations
Budget: While using both solutions might seem costly, the investment is likely justified by the enhanced security and centralised management capabilities.
Management: Both solutions offer centralised management, making it easier to oversee and control security measures. The tools are managed across the respective product suites which are already in use within the organisation minimising additonal admin / sec ops over head.
Conclusion
Cisco AI Defense and Microsoft Defender for Cloud and AI are both robust solutions tailored to different security needs and infrastructures. Understanding their strengths and integration capabilities allows organisations to make informed decisions, achieving comprehensive and integrated security frameworks.
Cisco AI Defense is new and will be available in March 2025, so please do let me know if I’ve missed anything obvious…
In a move that perhaps comes as no surprise, Microsoft has revealed a small $3 price increase per use (the first in 12 years) but is including Microsoft 365 Copilot (previously a $20 add on) to these subscriptions, which enables users to leverage Copilot in Office apps without needing a separate Copilot Pro subscription. But there is catch… See later.
I’ve not seen UK pricing as yet, but starting soon, consumers will soon see a new price of $9.99 per month for Microsoft 365 Personal and $12.99 per month for Microsoft 365 Home.
It’s not actually about Copilot through…
Oddly, Microsoft says the price increase is not actually about Copilot inclusion buy it more about aligning the prices with new features that have been added over the years such Microsoft Designer and Clipchamp, both of which have extensive AI capabilities.
Or is it…
Microsoft are offering anyone who’d rather stick to the old plan the option to buy what they new call their “classic sub tier which won’t include Copilot, but just a limited time. This, I believe will be offered as a downgrade option but will only be available for a limited time.
So… If the classic tier doesn’t include Copilot… Is the price hike about Copilot or not.. What do you think?
So what is included for Copilot in Personal and Home subscriptions?
With the introduction of Copilot, Microsoft 365 apps are getting a significant upgrade. Here’s a breakdown of the new features you will get
Word
Here we get Draft and Chat capability in Word. In draft mode you can create/ generate text from within the Copilot pane directly in Word. This works for new and existing documents and also allows your to rewrite taxt, expand on it, condense it and more. Chat mode on the other hand acts as your Word AI assistant. It can summarise and explain text, paragraphs or whole documents, suggest changes and also. Help you discover Word features such as formatting or just help you to learn new features.
PowerPoint
Here we get similar capabilities to Word. Copilot can create, restructure, change and enhance PowerPoint presentations from scratch based on user-provided criteria. It can also analyse existing Word documents (and other uploaded files) and generate a complete presentation from the information contained within it.
Excel
With most people using just a tiny fraction of what Excel can do, Copilot in Excel will help anyone analyse tables, highlight data correlations, suggest and help with new formulas based on your natural written queries, and can also generate insights to help you better reason over tables data and even entire workbooks. It is also really great for helping you format and organise data, create visualisations, and even teach you (or write) formulas for you.
OneNote
One of my favourite apps, Copilot here can assist in drafting ideas, plans, and organising information within your Notebooks. Copilot can also format content and create lists according to your criteria. What’s great is it can also do the woith your hand written notes (for those like me that use OneNote on my tablet). I find it great for handwritten meeting notes or interviews in that Copilot can then write my notes up professionally for me!
Outlook
Load of useful abilities for Copilot here in Outlook and one I think most people will use alot. Copilot in Outlook can summarise emails from friends, family, and colleagues which is nice for long email chains you have just been forwarded!
It’s also great for helping you to draftnand write an ew email or response to an email based on specific tones, lengths, and formats you set.It can also help coach you by reviewing what you have written and suggesting changes.
Copilot can pull information from other emails to provide context in threads, making it useful for managing multiple email chains.
What about Copilot Pro?
Despite the price increase, Microsoft is limiting Copilot usage under the Home and Personal subscriptions through monthly AI credits which are automatically applied to your account and reset each month (think mobile data tarrifs). They have not yet shared (that I have seen anyway) how many AI credits will be given each month.
Microsoft also offers Copilot Pro which is currently $20 /£19 a month which brings the same features as above but gives unlimited access to Copilot in Office, plus what they call boosts for image creation in tools like Designer.
I’m hoping this also gets a price reduction as it suddenly seems quite pricey for the additional capacity rather than entire features.
Conclusion.. Yes please!
To me I can’t wait to see this come to Family accounts because for me today, if I want Copilot Pro in Office for all 4 members of my family, I need to pay $80 a Month! This makes is so much more affordable and a no brainier.. bringing AI tools to its 84 millions consumer users and at a much more digestable price that with Copilot Pro.
As we all get back into the flow of work following the Christmas and New Year break, Microsoft continue to announce new features for Microsoft 365 Copilot.
Microsoft 365 Copilot has been available to “everyone” to buy and use now for a year now and it’ actually hard to conceive that it only actually ben 12 months! That said, I know hundreds of organisations that are using it every day and getting a great experience from it. I also know others (and people in my own organisation that have a bit more of a “hmmmmm and it’s ok” mindset to Copilot.
As I head back into my first full week at work with Copilot at my side, it’s worth looking at just how far it has come. From taking notes and summarising content, helping me catch up things I have missed (or forgotten) and evening being my companion to help me thrash out ideas, explain things, get a different opinion – Copilot is by my side.
Copilot is like that tireless colleague who’s always ready to lend a hand, doesn’t get tired, doesn’t take a lunch a break and doesn’t need to pop out for a coffee when I need it! I often describe Copilot as a drunk intern, in that it adds huge amounts of value to my day, but it doesn’t solve every work problem, nor can it assist with every task. It can’t make decisions for me, do my executive reports, remember to do things for me (there’s other tools for that) and can’t actually do my job for me. Microsoft 365 Copilot is a tool, a powerful tool, but like any tool, its effectiveness hinges on how you use it and more importantly how you don’t!
Having helped many customers and seen the results it can have, as well as my own experience of integrating Copilot into my daily work (and personal online life) routine, it takes time. It not as simple as allocating a licensing and clicking the Copilot button. Good adoption and useful results require practice (lots), sharing what works, and an understanding of its capabilities and limitations. In this blog. I share a few little tips we have learned on the way, coupled with some tips to see value every day.
1. Results may not be instant – Practice makes perfect
You may hear people say “it is rubbish” or “it didn’t do what I thought”, or “Copilot can’t help me in my job”.
This is sometimes true, but nearly all of the time, it is simply not! Copilot can certainly help you brainstorm ideas, answer questions, explain content and even get a third person review on something you have created, but it it is not going to transform you into a master mathematician, coder, web designer or salesman overnight.
Like learning a new musical instrument (my son is learning the trumpet at the moment) or a language, it takes time (and patience) to get the hand of pretty much any tool.
Success comes (and I see it every day) by embrace the learning curve, trying new things and giving yourself room to grow alongside this technology which is constantly evolving and improving. Working with Generative AI is a totally different way of working with technology so give yourself time to work with it. There is no AI Natives (yet!).
2. Don’t get fired – Copilot for everyone but not for everything!
Think of Copilot as your co-pilot, not as the captain of your work. Copilot is there to assist you in what you do but not to take over. While it might draft a great email or executive summary, help you expand on a point or explain something, only you (as the Pilot) can ensure it aligns with your objectives and ask and that what it produces resonates with your audience.
Remember you are accountable for what Copilot produces for you – Copilot is the co-pilot. You are always in command. Copilot will remind of this, but do. Check the content, is it what you needed and asked for. Does it seem correct, read well and has it used the right content and context. If Copilot get’s it wrong, its your block on the line not Copilot’s.
Your expertise and personal touch are irreplaceable, and you are still responsible for what it produces. Don’t look silly buy not checking what it produces!
3. Remember you are human – It is not!
The Human Touch is everything. For example, when using Copilot to write or reply to a sensitive email, or when writing a personal response to something, Copilot can absolutely provide you with a solid starting point or provide guidance on how to write it.
We have all read those emails comms that are so obviously written by AI. It’s easy to spot an email from someone you know that has clearly left AI to write for them!
Empathy, nuance, and authenticity and the way in which you communicate is what makes you. It’s important to use what Copilot (or an AI) creates as a draft or a guide and ensure you inject your personality and insights to make your communication truly impactful and truly you.
4. Copilot is not a mind reader – be clear in your asks
Copilot doesn’t inherently understand the nuances of your specific situation, so back to my drunk intern analogy, you need to give it context around what you want your assistant to do.
Copilot can “summarise a report” but won’t know how you would like this summarised, the tone you woudl like, who you are summarising it for and how long you want it unless you tell it. Be explicit about the how you want the output (the goal), the context of what you need, and your expectations for how you want the output to be presented.
Remember the formula for Copilot promoting is G.C.S.E – Goal, Context, Expectations and Source.
5. Don’t leave sensitivity to chance
Microsoft 365 Copilot will adhere to your company identity and access management, respect DLP policies and even understand sensitivity labels if they are used.
Many organisations however do not use these (though are starting too), but regardless, make sure you check that you are not feeding Copilot confidential customer information when creating responses for other customers or sharing internal information that is not supposed to be shared.
People get scared that Copilot may share sensitive information. Since Copilot is the assistant and not the author, you are responsible for checking that the data you have fed it (or referenced) can be used and shared externally.
There are new tools coming to help users better protect privacy and for IT / Sec to control what Copilot accesses, but it’s still “on you”. Remember Copilot can’t get the sack – you can!
6. Copilot will not replace learning but it can help you learn.
Some like to portray that they are an expert over night with AI tools like Copilot. Sure Copilot is great at simplify complex concepts or helping you know how to do something in say Excel or Word. Copilot is also really great at helping you understand seomthing, can explain something complex “as if i am a 10 year old” and so on, but it’s not a substitute for your own learning journey.
That said, I find Copilot is great for helping you to learn something. It can help you “learn” the basics about a topic, put things into different perspectives, and even help map learning paths and helps you find resources. At the end of the day, it is still you that will learn what you are learning, but Copilot is really great at helping you learn in your way…
7. Copilot has an appauling memory
One fo the things Copilot is really bad at (by design currently) uis remembering things. This mean that not only will it not ask you how that report went, or if your customer replied to the email it helped you write.
In fact Copilot cannot (currently) evcen remeber past convrsations or preferences so once you “start a new conversation”, all history of that task you were working are forgotten.
As a tip – I tend to have a couple of chats running in parallel so I can switch between contexts as I need to. ChatGPT now has this capability to imagine* it is only time before this comes to Microsoft 365 Copilot
8. The Roadmap is every changing
The last time I looked, there was 112 new features in development and 18 that are currently “rolling out”. This AI technology is evolving rapidly and Copilot is no exception.
New features and improvements roll out regularly. It’s worth checking on the Microsoft 365 Roadmap from time to time to ensure you stay informed about what is coming. There are also a plethor of blogs like this one, user communities, webinars and formal training to help you stay abreast of the latest innovations and tips.
Knowledge is power – the more you know, the more you can leverage Copilot to your advantage.
9. Integrate Copilot into your daily routine
Consistency is key. Copilot really adds avlue when you use it little and often and when it’s seamlessly woven into your daily workflow. Here are some reaaly simple habits to form:
Start your week with a recap: Use Copilot to remind you of any emails you did not repond to last week from your peers or boss, to prepare you for your upcoming meetings, or to sugegst a date your team (rememeber it knows who works for you) are available for an afternoon off-site.
Start Your Day with Copilot: Use Copilot in the morning to outline your your day, important tasks or get you up-to-date on something. You will soon be able to schedule Copilot to do certain tasks for you.
Catch on and control your meetings: One of Copilot’s hero capabilities is to help ypou catch up on a meeting you missed, take notes for you in a meeting and even help keep the meeting flowing.
Remeber your GCSEs: Before engaging with Copilot, know what the Goal is you are trying to achieve. Give Copilot context on how you wnat it done and ensure it knows what you expect. Clear questions yield better answers.
Share and Collaborate: Encourage your team to adopt Copilot and share tips. Collective learning amplifies benefits.
The true power of Copilot lies in how you incorporate it into your daily routine:
10. Don’t Give up
You may not always get the instant results, don’t give up. Ttry again, ask others what works for them and check out help and guidance. There’s loads.
Stay Curious and ensure you experiment with different prompts and functions. You might discover new ways Copilot can assist you.
Reflect Regularly by taking time to assess how Copilot is impacting your work. Adjust your approach as needed to maximise benefits.
Share your success so other can benefit from what you have learned and what works best for you.
Final Tips
Microsoft 365 Copilot is a remarkable assistant that can amplify your productivity, spark innovation, and even make mundane tasks more manageable. But remember, it’s a tool designed to enhance your capabilities – not replace them. By using it thoughtfully, staying informed about its features, and integrating it into good work habits, you can unlock its full potential.
Technology is a force multiplier, but it’s the human element that truly makes the difference. Copilot offers incredible capabilities, but it’s up to you to wield them effectively. Use it wisely, continue to learn, and keep pushing the boundaries of what’s possible. Your proactive engagement and thoughtful application are what turn a powerful tool into transformative results. So take charge, embrace the technology, and watch how it elevates the work you do every daym, little my little, bit my bit can make a huge difference in a week.
Oh and don’t forget to share your successes with others.
At CES 2025 in Las Vegas this week, Microsoft’s head of Windows devices, Pavan Davuluri, announced that Phi Silica, a Small Language Model (SLM), will be integrated into the Windows runtime as part of Copilot in the first quarter of 2025 to provide offline use and performance boosts whilst also paving the way for additional features and privacy enhancements made possible through local processing.
What’s a Language Model?
Before diving into the details, it’s important to understand what a language model is. Language models are designed to comprehend, generate, and perform human-like language tasks, having been trained on vast amounts of data. However, not all language models are the same – they come in different sizes, large and small, each with unique strengths and weaknesses tailored to specific requirements.
The main differences between small and large language models lie in their size, capabilities, and resource requirements.
LLMs are ideal for applications needing high accuracy and versatility, such as advanced search, chatbots and content generation.
SLMs are generally more suited for specific, lightweight applications, like mobile apps and edge devices and laptops such which have local NPUs like Copilot+ PCs.
SLMs are coming to Windows 11
The Phi Silica SLM, which was first showcased at Microsoft Build in Seattle in May 2024, is designed to complement the Large Language Model (LLM) that runs in the cloud allowing specific AI workloads and processing to be run locally or handed over and run in parallel with the cloud based LLMs.
Small, but mighty, on-device SLM
Microsoft
Why? Well, whilst LLMs are typically faster and more accurate, they require cloud-based operations and can be costly to run and inflict subscription fees (think Microsoft 365 Copilot). SLMs, on the other hand, can run many and other AI-driven applications and tasks locally on PCs, ensuring privacy and preventing data leakage to the cloud. However, SLMs are less sophisticated and require dedicated Neural Processing Units (NPUs) to provide these local AI capabilities. Hello Copilot+PCs.
Copilot+ PCs and AI PCs
The NPUs (Neural Processing Units) in Copilot+ PCs are designed to be highly power-efficient, capable of performing trillions of operations per second (TOPS) while consuming very little power. Specifically, on devices with Snapdragon X Elite processors, the Phi Silica model’s context processing uses only 4.8 milliwatt-hours (mWh) of energy on the NPU.
Additionally, the token iterator stage of the model shows a 56% improvement in power consumption compared to running on the CPU. This efficiency allows Phi Silica to operate without overloading the CPU and GPU, ensuring smooth performance and minimal impact on other applications.
Microsoft said that features like Windows Recall, Click-to-Do and other AI functionalities will soon be able to leverage these SLMs. Phi Silica uses a 3.3 billion parameter model, fine-tuned by Microsoft for both accuracy and speed and will. Improve performance, enhance privacy and enable more “offline” usage.
In a recent podcast episode with Bill Gurley and Brad Gerstner, Satya Nadella – CEO of Microsoft, discussed a wide range of topics related to his role at Microsoft, the state of the technology, business growth and capitalism in this new “AI Era”.
The podcast which you can watch on YouTube here covered some interesting topics including the Future of AI Agents and their potential to transform how we interact with technology. In this blog (worth a listen), Satya gives his predications/insights into the future of AI Agents and emphasises that AI agents will fundamentally change the landscape of software-as-a-service (SaaS) solutions, predicting that the traditional notion of business applications will collapse in the era of agentic AI.
What is Agentic AI?
Agentic AI refers to artificial intelligence systems that can make decisions and take actions autonomously, without direct human intervention. These systems are designed to perceive their environment, reason about the best course of action, and execute tasks independently. In short these agents are designed to function as workplace teammates, capable of handling various tasks across different applications.
As example, in e-commerce platforms, instead of static, rule based chatbots, agentic AI-driven systems can track a customer’s journey, personalised recommendations, and assist with returns seamlessly without user / supervisor input. These agents will be able to actively learn from interactions, optimising the customer journey in real time and learning about user preferences.
Agentic AI typically inhibits the following features:
Autonomy: Agentic AI systems can operate independently, making decisions based on input data and predefined goals.
Adaptability: These systems can adapt to changing circumstances and inputs, adjusting their actions to achieve their objectives.
Proactivity: Agentic AI can anticipate user needs and take actions without explicit instructions, making them more proactive in their behavior.
Collaboration: In the future, agentic AI systems will be able to work together in multi-agent networks, collaborating to handle complex tasks that a single agent cannot manage alone.
Changes Ahead for AI Agents
The video / podcast is an hour and a half (but an enjoyable and informative listen). Reading between the sections, Satya talks extensively about where he sees AI Agents evolving massively through 2025. I have summarised this below.
Increasing Sophistication and Capabilities
AI agents will become increasingly sophisticated and capable, eventually replacing traditional software applications. These agents will be able to understand and anticipate user needs, providing personalised and proactive assistance. They will leverage advanced natural language processing (NLP) and machine learning algorithms to interact with users in a more human-like manner.
Autonomous AI Agents
Through 2025. we will see autonomous AI agents handle more and more complex tasks with minimal human oversight, optimising workflows and enhancing efficiency across industries. These agents will streamline workflows, manage intricate operations, and simplify everyday activities. For example, OpenAI’s “Operator Agents” will autonomously execute multi-step processes, such as scheduling meetings or managing projects.
Multi-Agent Networks
Sayta talks abiut the “future” being a place that is not about singular agents but more about networks or systems of agents where agents can discover and collaborate with other agents. These multi-agent networks will enable agents to handle tasks that they can’t do themselves by invoking other agents (agents talking to other agents). This collaborative approach will enhance the overall capabilities and efficiency of AI agents.
Vertical AI Agents
Vertical AI agents, which are specialised for specific industries, are expected to have their moment in 2025. These agents will dominate their respective fields by offering tailored solutions that address industry-specific challenges. For example, retail AI agents will act as personal shoppers, offering personalised recommendations and optimising inventory management.
Persistent Memory and Personalisation
AI systems with persistent memory will enable highly personalized interactions, transforming AI into long-term companions that adapt to user preferences and habits. This capability will allow AI agents to provide more relevant and context-aware assistance, enhancing user experiences.
Emotional Intelligence
Future AI agents are expected to possess emotional intelligence, allowing them to understand and respond to human emotions. This will enable more empathetic and effective interactions, particularly in customer service and healthcare settings.
Integration with IoT and Personal Devices
AI agents will increasingly integrate with the Internet of Things (IoT) and personal devices. This integration will enable seamless interactions across various platforms and devices, creating a more connected and efficient ecosystem. For example, AI agents in smart homes will manage household tasks, monitor energy usage, and provide personalized recommendations.
Ethical AI and Transparency
As AI agents become more prevalent, there will be a greater emphasis on ethical AI and transparency in decision-making. Ensuring that AI agents operate responsibly and transparently will be crucial for gaining user trust and acceptance. This includes addressing issues related to data privacy, bias, and accountability.
Proactive AI Agents
Proactive AI agents will anticipate user needs and take actions without explicit instructions. For example, an AI assistant might reorganize your day based on traffic updates and weather, reschedule missed appointments, and even draft personalized messages. This proactive approach will make AI agents more valuable and indispensable in daily life.
Enhanced Communication and Collaboration Tools
AI agents will enhance communication and collaboration tools, making it easier for teams to work together. These agents will facilitate real-time collaboration, manage project timelines, and provide insights to improve productivity. They will also assist in content creation, research, and workflow automation.
Shift and the of SaaS apps?
Another interesting section to listen too is at around 31 minutes, where Satya talks about his vision of how AI agents could potentially replace traditional SaaS (Software as a Service) applications. Whilst something that will not happen over night, he talked about the shift from business apps with connectors into other apps, but in an agent to agent and agent to back-end system.
We can already have connectors into applications like SAP, Dynamics etc. A great quote he used was “when was the last time any of us really went to a business application” In the AI age, we access the data in these systems from a mesh of data sources which over time, these back-end SaaS systems would eventually become obsolete as AI agents take over multi-repository CRUD (Create, Read, Update, Delete) operations. This shift would lead to the collapse of conventional business applications, with AI agents handling the core logic.
The idea will be that you simply pull information from systems through AI Agents such as looking up customer details, updating inventories, changing a contact in NetSuite CRM for example or checking delivery status for an order.
Other examples, Sayta talked about with regards AI Agents included:
Infinite Memory: He explained that infinite memory refers to the ability of AI agents to retain and recall information over extended periods, much like a human’s long-term memory. This capability will allows AI agents to build on past interactions and experiences, making them more effective and personalized in their responses and actions.
Proactive Task Management: AI agents are envisioned to operate autonomously, handling complex tasks such as processing customer returns, managing shipping invoices, and optimizing supply chain operations. This proactive approach reduces the reliance on user-initiated interactions, further diminishing the need for traditional SaaS applications.
Automation of Business Logic: Satya explained that AI agents would be able to automate many backend business processes, creating a new tier of multi-agent orchestration. This means that business logic, which is currently hardcoded into individual applications, will be managed by AI agents across multiple apps or databases and will adapt based on useage and need.
Integration with Existing Tools: Nadella highlighted the integration of Python with Excel as an example. AI agents can use Excel’s visualisation capabilities for advanced tasks, transforming it into a more intelligent and autonomous tool. This integration demonstrates how AI agents can enhance existing applications, making them more efficient and reducing the need for traditional SaaS apps.
