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AI & Automation guides

AI and Automation Guides for Small Businesses

AI can save real time, but only when it is set up safely and pointed at the right jobs. These guides cover Copilot, ChatGPT, AI agents and automation in plain English, including the risks to watch for.

38 plain-English guides, written by My Tech Team for small businesses in Sussex and beyond.

AI & Automation

All Guides on This Topic

A business owner chooses between two friendly AI helper robots, one working inside a laptop with email and calendar icons and one holding a pen and lightbulb.

Microsoft Copilot vs ChatGPT Business: Which Suits Your Team?

Both are business-grade AI assistants, but they work in very different ways. Here's how Microsoft Copilot and ChatGPT Business compare, and how to choose.
Is AI Secure for Small Businesses in Sussex?

Is AI Secure for Small Businesses in Sussex?

Is AI secure for your small business? Learn the real risks, practical safeguards and questions to ask before sharing business data with AI tools at work.
How to Automate Invoice Processing Securely

How to Automate Invoice Processing Securely

Learn how to automate invoice processing securely with sensible controls, trusted workflows and practical checks that protect cash flow and supplier data.
Business owner reviewing AI tool costs against business outcomes on a laptop in a modern office, representing the challenge of measuring AI value and whether AI subscriptions are delivering a genuine return

Measuring AI Value: Are You Getting a Return From What You Are Paying For?

Measuring AI value is a question more businesses should be asking, and fewer are than the level of investment now warrants. Most organisations can list the AI tools they are currently paying for. Most cannot clearly answer whether those tools are making the business materially better. That gap is worth closing, not because AI tools…
Process Automation That Saves Time Without Risk

Process Automation That Saves Time Without Risk

Process automation helps small businesses cut repetitive work, reduce errors and improve service – when it is designed around secure, reliable workflows.
Business owner writing a personal message on a laptop in a warm modern office setting, representing the importance of maintaining AI and business personality by keeping human voice present in AI-assisted communications

AI and Business Personality: Why Efficiency Should Not Come at the Cost of Being Human

AI and business personality are in tension in a way that most businesses have not yet fully noticed. As AI tools have become part of everyday operations, the question has shifted from whether to use them to where they save the most time. That is the right question to be asking. However, a second question…
Business professional reviewing a Microsoft Excel spreadsheet with the Copilot AI panel open showing formatting preferences being saved in a modern office, representing the Excel Copilot update that learns how your business formats data

Excel Copilot Update: Teach AI How Your Business Formats Spreadsheets

The Excel Copilot update arriving in Microsoft 365 addresses something that anyone who works with spreadsheets regularly will recognise immediately. Getting data into the format you actually want takes time. Your business may always present currency a particular way, use specific report headings, apply consistent naming conventions, or follow formatting rules that everyone is expected…
Business professional reviewing an AI voice assistant interface on a laptop in a modern office while a phone sits beside the keyboard, representing how an AI voice assistant for business can handle repetitive customer calls and free up team time

AI Voice Assistant for Business: Could It Save Your Team From Repetitive Calls?

An AI voice assistant for business is attracting genuine interest from owners who are tired of watching their team answer the same questions dozens of times each day. Opening times, appointment availability, order status, callback requests. These are entirely normal enquiries for a caller who does not know the business. However, when the same questions…

Unauthorised AI Tools: Is Your Team Using Them Without You Knowing?

Unauthorised AI tools are spreading through businesses faster than most owners realise. A conversation that happens increasingly often begins the same way. A business owner says confidently that their team does not really use AI yet. A few questions later, it emerges that someone is using ChatGPT to help write emails, someone else is summarising…
Business professional reviewing a dashboard on a monitor in a modern office

AI Return on Investment: Is Your Business Actually Saving Money With AI Tools?

AI return on investment is a question that more businesses need to ask than currently do. The productivity case for AI tools has been made clearly and often: reports generated in seconds, emails drafted instantly, routine admin handled automatically. It is easy to look at those demonstrations and assume the financial savings will naturally follow.…
Business professional manually copying data between multiple applications on a computer in a modern office, representing the human middleware problem where staff spend their day bridging gaps between disconnected AI tools

Human Middleware: Are Your Staff Becoming the Glue Between AI Tools?

Human middleware is a term that describes something many business teams are living with right now without having a name for it. AI tools were introduced to make work faster and less repetitive. In a number of businesses, however, the adoption of those tools has quietly created a new layer of work: people spending significant…
AI for Small Businesses: What Actually Works

AI for Small Businesses: What Actually Works

AI can save time and improve decisions, but only with sound data, security and support. A practical guide for Sussex small businesses to use it safely.
AI Workplace Automation Trends Small Firms Need

AI Workplace Automation Trends Small Firms Need

AI workplace automation trends are reshaping small business operations. Learn where AI saves time, where risks sit, and how to adopt it safely, sensibly.
8 Best AI Tools for Admin Teams and Small Firms

8 Best AI Tools for Admin Teams and Small Firms

Find the best AI tools for admin work, from meeting notes to inboxes, and learn how small businesses can use them securely, sensibly and well every day.
Security professional reviewing an AI vulnerability detection dashboard showing automatically discovered security flaws in a Windows environment on a monitor in a modern office, representing Microsoft's MDASH AI cyber security system hunting for hidden vulnerabilities

AI Cyber Security: How Microsoft Is Using AI to Find Weaknesses Before Attackers Do

AI cyber security is entering a genuinely interesting new phase. Most security tools work reactively: something suspicious occurs, the system detects it, and then attempts to contain the damage before it spreads further. That approach is important and will remain so. However, Microsoft has been developing something that pushes considerably further: using AI to find…
AI Implementation That Works for Small Businesses

AI Implementation That Works for Small Businesses

AI implementation for small businesses: a practical, security-first way to save time, protect data and choose automation that genuinely helps teams daily.
How to Automate Office Workflows Without Risk

How to Automate Office Workflows Without Risk

Learn how to automate office workflows safely, save staff time and improve consistency without creating gaps in security, oversight or support for growth.
AI Automation for Small Business That Saves Time

AI Automation for Small Business That Saves Time

AI automation for small business can reduce admin, improve service and support safer decisions. Learn where to start, what to protect and what to avoid.
Business professional using Microsoft Copilot alongside everyday Windows 11 tools on a desktop in a modern office, representing the question of whether Microsoft Copilot productivity genuinely outranks other Windows 11 tools

Is Microsoft Copilot Really the Top Productivity App in Windows 11?

Microsoft Copilot productivity has become central to how Microsoft talks about Windows 11. The company has positioned Copilot as the number one productivity app in its operating system, ahead of File Explorer, Microsoft To Do, the Snipping Tool, and every other application built into the platform. That is a striking claim. It is also one…
Business professional looking tiredly at a laptop screen late in the working day with a Microsoft Copilot drafted email visible and their hand hovering over the send button, representing the risk of AI fatigue and approving AI output without proper review

AI Fatigue: Why Your Team May Be Approving AI Output Without Really Checking It

AI fatigue is a risk that builds quietly within business teams that have adopted AI tools enthusiastically and at pace. The tools work well, the output looks polished, and over time the habit of genuinely reviewing what AI produces can erode without anyone noticing it happening. The result is a team that appears to be…
Business professional reviewing a Microsoft 365 Copilot AI agent dashboard on a laptop in a modern office, representing the new capabilities introduced in Copilot Wave 3 and the importance of staying in control as AI takes on more responsibilit

Copilot Wave 3: What Microsoft’s Biggest AI Update Means for Your Business

Copilot Wave 3 represents a meaningful shift in how Microsoft AI integrates with the tools your business uses every day. Earlier versions of Copilot focused on assisting with individual tasks: drafting emails, summarising documents, generating presentations. Useful and time-saving, but still reliant on the user to direct every step. The latest wave changes the nature…
Business owner urgently reviewing an AI system control panel on a monitor to pause an active AI tool, representing the importance of AI emergency response planning for businesses

AI Emergency Response: Could Your Business Stop an AI Tool If Something Went Wrong?

AI emergency response is not something most businesses have thought about in any structured way. AI tools are being adopted quickly, integrated into workflows efficiently, and trusted to handle tasks that would previously have required human effort. However, very few businesses have asked a simple and important question: if an AI tool did something it…
Business owner reviewing an AI workflow activity log on a monitor in a modern office, representing the importance of maintaining visibility and accountability when AI agents in business are making decisions and taking actions

AI Agents in Business: How to Stay in Control When AI Is Making Decisions for You

AI agents in business are moving quickly from a future concept to a present reality. An email gets drafted before a team member has finished thinking through the response. A report is summarised before anyone has read it. A system identifies an action that needs to be taken and, increasingly, takes it. These are not…
Business professional comparing an AI-generated password with a password manager on a laptop in a modern office, representing the security risk of AI password generation and why password managers are the safer choice

AI Password Generation: Why You Should Not Trust AI to Create Business

AI password generation feels like a natural shortcut. AI tools can write reports, draft communications, and produce complex content on demand. Asking one to generate a strong 16-character password packed with symbols, numbers, and mixed-case letters seems entirely reasonable. The result looks exactly right. Online password strength checkers rate it highly. Some suggest it would…
Business professionals in a meeting reviewing an AI project roadmap on a laptop in a modern office, representing the challenge of AI projects stalling and how to build momentum for business AI initiatives IMAGE_PROMPT: Photorealistic, high-resolution, 16:9 landscape corporate photography. Scene: Three business professionals, two men and one woman, sit around a modern conference table in a bright contemporary meeting room. They look together at an open laptop screen showing a project roadmap or progress dashboard with AI initiative milestones, some marked as complete and others stalled or paused. One professional points at the screen with a focused and problem-solving expression. The others lean in with engaged, thinking expressions. A notepad with written notes and a coffee mug sit on the table. Large windows behind them show soft natural daylight and a blurred office exterior. Colour palette: deep navy blue, warm slate grey, and clean white with soft blue accent tones from the laptop screen. No robots, no holograms, no cartoon elements. Photorealistic and magazine-cover quality. Sharp focus on the group and the laptop screen. Camera style: medium wide shot from a slight elevated angle showing the group and screen naturally, shallow depth of field softening the background. Composition: group centred in the frame, laptop screen visible and dashboard content contextually readable. Lighting: bright soft natural office daylight from large windows combined with a gentle cool screen glow. Headline text overlay at upper centre in large bold white sans-serif font reads: "AI Projects Stalling?" with a light blue subtitle beneath reading: "Why Business AI Gets Stuck and How to Fix It". Text must be sharp, prominent, and easy to read on both desktop and mobile. No company logos, no URLs, no branding elements. WORDPRESS_HTML: htmlAI projects stalling is one of the most common and least-discussed problems in business technology right now. Businesses across every sector have experimented with AI tools, run pilots, and attended demonstrations. Yet a significant proportion of those initiatives never make it into day-to-day use. Research suggests around half of all business AI projects are still stuck in proof-of-concept mode, even as most businesses fully expect to increase their AI budgets. Belief in AI is widespread. Momentum is not. The reason is rarely the technology itself. The obstacles that hold AI projects back are more familiar than most business owners expect. The Most Common Reason AI Projects Stall The single most common cause of AI projects stalling is a lack of clarity about what the project is actually trying to achieve. Many businesses start an AI initiative with a general sense that AI is important and that they should be doing something with it. That motivation is understandable. The problem is that it does not translate into a clear target, a measurable outcome, or a definable point at which the project can be judged to have succeeded. When there is no specific business problem to solve, projects drift. Teams experiment with tools, generate interesting outputs, and have productive conversations. However, nobody can say with confidence what success looks like, how progress will be measured, or when the initiative is ready to move from pilot to operational use. In the absence of those answers, momentum stalls and the project quietly loses priority. This pattern plays out in businesses of all sizes. The AI tools themselves often work well. The issue is the framework around them. Without a specific, concrete outcome to work towards, the project has no natural momentum and no clear ending. Governance Concerns Are Blocking Progress Governance is the second major reason AI projects stall. Business leaders are right to think carefully about security, data privacy, and compliance when introducing AI tools. These are legitimate concerns, particularly for businesses that handle sensitive client information or operate in regulated sectors. However, the way many businesses respond to these concerns creates its own problem. Rather than putting simple, practical boundaries in place and moving forward within them, projects get paused while teams search for perfect answers. Every question about data handling, liability, or regulatory compliance becomes a reason to delay rather than a problem to address and document. The result is that months pass with no material progress, and the people involved lose confidence and energy. The businesses that make progress on AI do not wait for perfect governance. They define what the AI is allowed to do, what always requires a human check, and what data it can and cannot access. These boundaries are not complex to establish. They do require someone to make decisions and write them down. That deliberate simplicity unlocks the progress that waiting for perfect answers prevents. Our article on generative AI for business covers how businesses are approaching AI adoption practically and where the most accessible starting points tend to be. The Confidence Gap Is Holding Businesses Back A third obstacle is the skills and confidence gap. AI tools are increasingly accessible, but they still need people who understand how to manage them, evaluate their outputs critically, and step in when something looks wrong. Most businesses that have experimented with AI are not short on ambition. They are short on confidence that they can handle AI responsibly and effectively without specialist expertise. This gap often manifests as a reluctance to commit. Businesses are willing to trial AI, but unwilling to integrate it into processes they depend on until they feel more certain about what they are doing. The problem is that certainty tends to come from doing, not from waiting. Projects that never move beyond the pilot stage never generate the learning that builds confidence. Interestingly, most business leaders already have a realistic view of where this is heading. The majority expect that AI decisions will continue to involve human oversight for the foreseeable future, and that the long-term model will be one where people and AI share responsibility rather than AI operating autonomously. This is a sensible and grounded position. It is also one that makes starting considerably less daunting than the grand transformation narrative sometimes suggests. What the Businesses Making Progress Are Doing Differently There is a consistent pattern among businesses that have successfully moved AI from pilot to practical use. Three characteristics stand out. First, they tie AI to a specific and modest business outcome. Not a transformation of the entire operation, but a measurable improvement in one area. Reducing the time spent on a specific reporting task. Improving the speed of a monitoring process. Saving hours per week on email drafting. The outcome is concrete, the improvement is measurable, and success is recognisable. That specificity is what turns an experiment into a project. Second, they establish clear boundaries early. They define what the AI tool is permitted to do independently and what always requires a person to review the output before it is acted on. This clarity removes the uncertainty that leads to paralysis. It also makes the AI safer to use, because the boundaries themselves are part of the governance framework rather than something that needs to be resolved before work can begin. Third, they scale deliberately rather than broadly. Rather than deploying multiple AI tools simultaneously and hoping something proves its value, they focus on one area, prove the benefit there, learn from it, and then expand. This approach generates real evidence of value, which builds the internal confidence and organisational support that makes the next step easier to take. For businesses in East Grinstead and across Sussex that have experimented with AI tools through Microsoft 365 Copilot or similar platforms, these three characteristics provide a practical framework for getting more from what is already in place. Our article on IT budget pressure and technology decisions covers how to evaluate technology investment based on genuine business need rather than broader market pressure. Humans Remain in the Loop One of the most helpful realities about AI adoption in business is that nobody is being asked to hand over full control to an automated system. The expectation among most business leaders is that AI will handle specific tasks or surface information, while people retain oversight and make the final call. That is not a limitation of current AI capability. It is a sensible and appropriate approach that reflects how these tools work best. AI fails most visibly when it is given too much autonomy too quickly and when nobody is checking whether its outputs are accurate and appropriate. The businesses with the best results keep humans firmly in the loop, use AI to reduce effort rather than replace judgement, and treat errors as learning opportunities rather than failures. This model produces better outcomes and builds the kind of confidence that allows the scope of AI use to expand naturally over time. What This Means For Businesses If your business has experimented with AI but not yet embedded it into daily operations, you are in the majority. The gap between intention and implementation is wide across most businesses, and the reasons are consistent. Unclear goals, unresolved governance questions, and a confidence deficit are holding back AI initiatives that the technology itself is capable of delivering on. For business owners and directors, the practical starting point is a single, specific question: what is one task your team spends significant time on that follows a predictable pattern and could plausibly be handled faster or better with AI assistance? Start there. Define what success looks like. Put simple boundaries in place. Measure the improvement. Then decide what comes next. Our managed IT services include guidance on AI tool adoption and Microsoft 365 Copilot configuration for businesses across Sussex and the South East. We can help you identify the right starting points for your specific business and build the governance framework that allows you to move forward with confidence. Final Thoughts AI projects stalling is not a sign that AI does not work. It is almost always a sign that the project lacked the clarity, boundaries, or deliberate pacing that turns a good idea into a working tool. The technology is rarely the problem. The framework around it usually is. Start specific, set clear boundaries, move deliberately, and keep people in the loop. That combination does not produce perfect AI deployment. It produces real progress, which is considerably more valuable. Frequently Asked Questions Why do so many business AI projects fail to move beyond the pilot stage? The most common reasons are unclear goals, unresolved governance concerns, and a lack of internal confidence. When a project does not have a specific, measurable outcome to work towards, it drifts without natural momentum. When governance questions are treated as blockers rather than boundaries to define and work within, progress stalls. When teams lack confidence in their ability to manage AI responsibly, they hesitate to commit to operational use. What does good AI governance look like for a smaller business? It does not need to be complex. It means defining what the AI tool is permitted to do independently, what always requires a human review before any action is taken, and what data it can and cannot access. Documenting these decisions clearly is more important than making them perfect. Simple, explicit boundaries allow work to proceed safely rather than waiting for comprehensive answers that may never arrive. How do I choose the right AI project to start with? Look for a task that is repetitive, time-consuming, and follows a predictable pattern. Ideally it should be something where the output can be reviewed by a person before being used, and where the improvement would be measurable. Email drafting, meeting summarisation, report generation, and routine data processing are all common starting points that have proven accessible for businesses using Microsoft 365 Copilot. Will AI replace the need for human oversight in business processes? Not in the near term, and most business leaders do not expect it to. The model that produces the best results is one where AI handles specific tasks or surfaces information, and people retain oversight and make the final decisions. This approach produces better outcomes and builds the internal confidence that allows AI use to expand gradually over time. How can a managed IT provider help with AI adoption? A managed IT provider can help identify the right starting points based on your specific business operations, configure AI tools such as Microsoft 365 Copilot appropriately, establish governance boundaries, and support your team through the early stages of adoption. They bring practical experience of what works for businesses of similar size and sector, which reduces the trial-and-error that slows many AI initiatives. INTERNAL_LINKS: Anchor Text: generative AI for business Suggested Page: https://mytechteam.uk/generative-ai-for-business-what-ninety-percent-are-doing/ Anchor Text: IT budget pressure and technology decisions Suggested Page: https://mytechteam.uk/it-budget-pressure-spending-technology-right-reasons/ Anchor Text: managed IT services Suggested Page: https://mytechteam.uk/it-management/ Anchor Text: how Microsoft Copilot can help your team work smarter Suggested Page: https://mytechteam.uk/how-microsoft-copilot-can-help-your-team-work-smarter/ Anchor Text: business automation and reducing manual work Suggested Page: https://mytechteam.uk/business-automation-free-your-team-from-spreadsheet-headaches/ Anchor Text: overconfident employees and AI risk Suggested Page: https://mytechteam.uk/overconfident-employees-hidden-cyber-security-risk/ TAGS: Blog, Guide, Info

AI Projects Stalling? Why Most Business AI Initiatives Get Stuck and How to Fix It

AI projects stalling is one of the most common and least-discussed problems in business technology right now. Businesses across every sector have experimented with AI tools, run pilots, and attended demonstrations. Yet a significant proportion of those initiatives never make it into day-to-day use. Research suggests around half of all business AI projects are still…
Business professional using the Windows 11 Describe Image feature on a laptop to get an AI-generated description of a complex chart in a presentation, representing the accessibility and productivity benefits of the feature

Windows 11 Describe Image: The AI Feature That Makes Visual Content Accessible for Everyone

Windows 11 Describe Image is a new AI-powered feature currently in testing that does something deceptively simple but genuinely useful. When a user selects an image, chart, or graphic on their Windows 11 device, the feature generates an instant plain English description of what it shows. No additional software, no cloud upload, no waiting for…
Business professional typing a plain English query into the Windows 11 Settings search box on a desktop monitor, representing the Windows 11 AI Agent feature that helps users find settings without navigating menus

Windows 11 AI Agent for Settings: Stop Wasting Time Hunting for Options

The Windows 11 AI Agent is a new feature being built into the Settings application that addresses one of the most common, low-level frustrations in everyday computing. Navigating through Windows Settings to find a specific option has always involved more clicking and guessing than it should. Microsoft is changing this by allowing users to simply…
Business professional using Microsoft Copilot in Word on a laptop in a modern office with an AI draft visible on screen, representing how Microsoft Copilot for business saves time on everyday tasks

Microsoft Copilot for Business: How It Saves Your Team Real Time Every Day

Microsoft Copilot for business is an AI assistant built directly into the Microsoft 365 applications your team already uses every day. It is not a separate tool that requires a new login or a different platform. It sits inside Word, Excel, Outlook, Teams, and PowerPoint, ready to help with the tasks that consume time without…
Outlook Priority View: How AI Will Help Your Team Focus on What Matters

Outlook Priority View: How AI Will Help Your Team Focus on What Matters

Outlook Priority View is a new AI-powered feature coming to Outlook for iOS and Android that addresses one of the most consistent frustrations in business communication. If your team spends significant time each day sorting through emails to identify what genuinely requires attention, this update is designed to remove that step automatically. Microsoft Copilot will…
Business professional reviewing the Microsoft Copilot memory management settings on a laptop in a modern office, representing the new Microsoft Copilot memory feature giving users control over what AI retains

Microsoft Copilot Memory Feature: You Decide What AI Remembers About Your Business

The Microsoft Copilot memory feature is a significant update that changes how the AI assistant works within your business on a daily basis. Until now, Copilot has been useful for individual tasks within a session, but starting each new conversation from scratch has limited how personalised and efficient it can be. Microsoft is addressing this…
Business owner reviewing a cyber security threat alert on a security dashboard monitor in a modern office, representing the growing threat of AI-powered malware targeting businesses

AI-Powered Malware: How Artificial Intelligence Is Changing Cyber Attacks

AI-powered malware has moved from a theoretical concern to a documented and rapidly growing reality. Research now shows that 80% of ransomware attacks are powered by artificial intelligence. Four in every five attacks on businesses are being conducted not primarily by human operators making individual decisions, but by AI systems running automated campaigns at a…
Business professional using the Microsoft Copilot PowerPoint feature to convert a Word document into presentation slides on a laptop in a modern office

Microsoft Copilot PowerPoint Feature: Turn Word Documents Into Slides in Seconds

The Microsoft Copilot PowerPoint feature is a recent update that addresses one of the most time-consuming tasks in many business workflows. If your team regularly needs to turn a written document into a presentation, whether that is a client proposal, a quarterly report, a project update, or a strategy summary, this capability removes the most…
Business professionals collaborating around a laptop using generative AI tools in a modern office setting, representing the widespread adoption of generative AI for business productivity

Generative AI for Business: What 90% of Businesses Are Already Doing

Generative AI for business has moved from a topic of curiosity to a mainstream operational reality faster than most people anticipated. Nine in ten businesses are now using generative AI in some form. That is not a figure from an early-adopter community or a specialist tech sector. It reflects a broad shift across businesses of…
Business professional using Microsoft Edge browser with the Copilot AI sidebar open on a monitor in a modern office, representing the Microsoft Copilot in Edge auto-open feature

Microsoft Copilot in Edge: What the Auto-Open Feature Means for Your Business

Microsoft Copilot in Edge is about to become a more prominent part of the browsing experience for business users. Microsoft is currently testing a feature that would make Copilot open automatically in the browser sidebar whenever a user launches Edge or opens a new tab. Rather than needing to click an icon to activate it,…
Business professional reviewing automated data dashboards on a monitor in a modern office, replacing manual spreadsheet work with business automation tools

Business Automation: Could It Finally Free Your Team From Spreadsheet Headaches?

Business automation is something most business owners have heard about, yet far fewer have actually acted on. Meanwhile, the spreadsheet remains firmly embedded in daily operations across most businesses. Research suggests that around nine in ten businesses still rely on spreadsheets to manage important data. That is a striking figure, given how frequently spreadsheets cause…
Empower Your team with AI

How AI Can Empower Your People Instead of Replacing Them

This article explains how UK business owners can use AI tools to support and empower employees rather than replace them, with practical examples, risks to avoid, and how to introduce AI safely and effectively.
AI-Powered-Browsers

AI‑powered browsers at work: what to consider before you roll them out

Why AI browsers are different Traditionally, a browser has been a window to the web. AI‑enabled browsers promise more: they can read a page, summarise it, translate it, pull out key data, and even complete routine actions. That convenience can be a genuine productivity boost. However, these capabilities rely on sending what’s on your screen…
Microsoft Copilot Can Help Your Team Work Smarter

How Microsoft Copilot Can Help Your Team Work Smarter

Imagine having a digital assistant that supports you throughout your working day. One that can help write documents, summarise meetings and organise information in seconds. That is the idea behind Microsoft Copilot. Copilot is an artificial intelligence tool built directly into Microsoft 365 applications such as Word, Excel, Outlook and Teams. Instead of being a…

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