New models and tools appear constantly, each impressive in its own way, each claiming to be faster, smarter, or more capable than the last. For most organisations, however, the challenge is no longer whether AI is useful but how to apply it in a way that delivers real, repeatable value.

This is where Microsoft Copilot continues to differentiate and where its evolution really matters.

Copilot is no longer just an AI assistant responding to prompts. It is evolving into something far more powerful. Its capability embedded directly into the flow of everyday work. Rather than sitting alongside your tools, Copilot is built into them.  You will find it in all your faithful Microsoft tools such as Outlook, Teams, Word, Excel and PowerPoint, helping users work through tasks, not just generate answers.

At the heart of this is Microsoft’s Work IQ. Copilot understands the context of your organisation’s work by securely accessing data through Microsoft Graph. All your emails, meetings, chats, documents, calendars, tasks and files are governed by existing permissions and security controls. This grounding allows Copilot to move beyond generic outputs and deliver assistance that is relevant, contextual, and actionable.

This shift is critical

Instead of prompting an AI, copying the response, and manually shaping it into something useful, Copilot works alongside you as you create, all within the same tools you already use everyday. It helps you iterate on documents rather than starting from scratch. It can build and refine presentations based on existing content and meeting discussions. It supports users as they work through complex Excel models, analyse data, and uncover insights.

This is AI in the workflow, not AI added to it

Copilot is designed to reduce friction across the small but time-consuming tasks that define modern work: drafting, reviewing, summarising, analysing, planning, and following up. It doesn’t replace human judgement or creativity; it enhances them by removing busywork and accelerating momentum. The result is not just faster output, but better focus on higher-value work.

Many AI tools look impressive in isolation but struggle to move beyond experimentation. They rely on disconnected data, manual prompts, and new ways of working that users must consciously adopt. Copilot benefits from being deeply integrated into Microsoft 365, where identity, compliance, security, and data governance are already in place. This makes it not only powerful, but practical and enterprise-ready.

There is a lot of noise in the AI market — benchmarks, statistics, and headline claims that can distract from what really matters. AI is ultimately a tool, and its value is measured by how effectively it supports people in their day-to-day work.

For organisations whose data already lives in the Microsoft ecosystem, Copilot represents the most natural path forward. Not because it is the most hyped solution, but because it is evolving into something far more important: the future of productivity, embedded directly where work happens.

Find out more about our Copilot Advancement Programme

This article first appeared in the Jersey Evening Post on 14 January 2026.

Why Copilot is different: A look at AI in the flow of work

The post Why Copilot Is Different: AI in the Flow of Work appeared first on Prosperity 247.

For technology to work the way that people work and for it to be embraced by the business, it has to be as a collaboration between people, processes and technology; by putting people at the heart of the change. Many organisations can treat end-user adoption as an afterthought, as it is a common belief that new technology will simply be used if it is available. We know this to be untrue and have seen how user adoption is the foundation for the success and measured return on investment.

Technology must not be viewed as a standalone solution but needs to complement robust processes and the ingenuity of people. It is an enabler rather than a replacement and as new technologies emerge, such as Copilot and Agentic AI, we can ensure they augment human effort, acting as catalysts for creativity and efficiency. Artificial Intelligence (AI) has evolved from simple chatbots to fully autonomous AI agents—intelligent systems that can perform tasks, make decisions, and learn without constant human intervention.
Since Microsoft released its Generative AI assistant, Copilot, at the end of 2023, it has been integrated across many of its applications, including Microsoft 365 and Dynamics 365. The addition of Copilot Studio in Microsoft Power Platform has expanded capability even further through Agentic AI.

Prosperity 24/7 has been at the forefront of understanding Copilot’s capabilities and how that applies to businesses in the most practical sense.

Understanding Copilot and Agentic AI

Copilot, as its name suggests, is designed to work alongside individuals, enhancing productivity by providing suggestions and automating repetitive tasks, such as preparing meeting notes, managing schedules, summarising emails or creating content for documents and reports.

Agents differ in complexity and capability based on their intended use. These include retrieval agents that retrieve documents on specific topics, task-based agents that complete tasks in a workflow, and autonomous agents that can reason over a situation and then take action.

The term “Agentic AI” is frequently mentioned in news articles and on social media platforms. Agentic AI takes a more autonomous role to tasks, acting as an intelligent agent, capable of making decisions and executing tasks independently while remaining aligned with the broader goals of the humans in control. It learns and adapts as it works, optimising processes and has the ability to anticipate challenges, suggest process improvements, and even innovate solutions, making it an invaluable asset in modern workplaces.

First things first, is your business ready for AI?

Although Copilot is designed to be intuitive and easy to use, it is important to make sure that your business is prepared and empowered to use it effectively to unleash creativity and unlock productivity for everyone.

A readiness assessment is an essential step in preparing your business for the change. It evaluates your current position, taking into account your data governance, security and checks the technical pre-requisites are in place but it also incorporates the essential elements of people and processes.

Leadership need to ensure they are using AI for the best possible outcome for their business as well as bringing teams along for the journey, helping them to understand it can improve the tasks they undertake every day. The successful implementation of tools like Copilot and Agentic AI requires a shift in mindset.

People naturally resist change, so they need to know what’s in it for them. Including scenario-based training sessions is essential for teams to understand the technology and derive immediate value from it. Driving adoption comes from the understanding of business challenges and addressing these with technology.

Employees must be trained to see technology not as a competitor but as a collaborator. Regular workshops, clear communication, and accessible resources can help cultivate a culture of acceptance and enthusiasm, where individuals feel empowered to use these tools to amplify their own abilities. Prioritising training and education as part of the implementation of technology ensure technology amplifies human potential and remains aligned to strategic goals.

Helping your business to embrace the advancements of artificial intelligence is just one of the ways that Prosperity 24/7 can enable business growth and enhance productivity for your business.

As an independent supplier for the Better Business Grant and an accredited Microsoft Solutions Partner, we can support your business across the range of services that we offer. Whether you are looking to centralise your operations through enterprise resource planning, ensuring your business is cyber secure, migrating to the cloud or disposing of old legacy systems, then we can help with our people first approach.

The post Enhancing productivity with people, processes and technology collaboration appeared first on Prosperity 247.

Fast-forward 18 months, and the story is much clearer, Copilot has cemented itself as our productivity assistant. A digital colleague helping us cut through repetitive tasks, draft emails, surface data, summarise meetings, and write Excel formulas without needing an ‘Excel for Dummies’ crash course.

Copilot usage across Microsoft 265 is now in the millions, with Microsoft reporting that organisations using Copilot have seen a productivity boost of us to 29% in day-to-day tasks and a 70% improvement in time saved on email composition. Adoption has moved beyond pilot programmes as many companies now consider Copilot to be critical infrastructure for knowledge workers.

More importantly, we’ve moved past the early mysticism of AI. It hasn’t (yet) taken our jobs. Instead, it’s making our jobs better and helping us get things done faster, with higher quality and less friction. And for most users, that’s exactly what they needed to help alleviate the admin burden.

But this is only the beginning.

The next wave – Agentic AI

The next wave of AI in the workplace is already here in the form of agentic AI. Microsoft has been quietly laying the foundations for this evolution, and it’s now coming to the forefront.

If Copilot is the assistant sitting beside you, Agentic AI is the team working in the background. Agents are not here to help you write a better paragraph or summarise a call. It’s less about helping you finish a task and more about taking ownership of business processes, automating and streamlining them from start to finish.

Until now, AI has largely supported individual productivity. But Agentic AI is designed to support business operations at scale, demonstrating a powerful shift in thinking, helping drive real business value through professional reinvention and reengineering.

Copilot vs agents – what’s the difference?

Think of Copilot as your personal assistant. Now imagine dozens of agents operating across your business, handling invoices, HR onboarding, customer support tickets, compliance checks, and more. These agents will live inside the Microsoft 265 ecosystem and operate via the same Copilot interface.

1. Copilot = personal productivity

• Every employee gets a Copilot.
• One-to-one relationship.
• Supports in-context work: drafting, summarising, replying, reformatting and more.
• Enhances how you work.

2. Agents = process intelligence

• Every organisation has multiple agents.
• One-to-many relationship.
• Works across apps and systems to automate entire workflows.
• Operates on behalf of teams or departments.

Why it matters

Organisations run on processes. Some are well-defined, others are sprawling and inconsistent. All of them take time, require coordination, and depend on people moving data between systems. Until now, digital transformation has meant integrating systems and automating bits and pieces. Agentic AI offers the chance to rethink the whole thing. It isn’t just about efficiency. It’s about unlocking new value.

Imagine an agent that:

• Onboards a new starter by automatically generating accounts, scheduling training, and assigning permissions.
• Monitors a project timeline and nudges stakeholders when risks are detected.
• Reviews customer emails, identifies intent, and triggers fulfilment or escalations.
• Validates documents against policy rules and flags anomalies.

You can immediately see the value in addressing these types of processes with agents.

Organisations are already testing these capabilities with partners through tools like Microsoft Copilot Studio, where businesses can build custom agents that connect to their Microsoft 265 data and even pull in information from external systems using prebuilt connectors.

Agents can be governed, monitored and deployed just like any enterprise solution because they’re integrated with Microsoft’s Copilot Control System. This is a critical step to enable AI to scale in business with appropriate checks and balances in place.

A quiet revolution

Whilst it’s still early days, the signs are clear that Agentic AI is going to be the next major shift in workplace productivity. Just as we’ve grown comfortable with AI writing our emails and summarising meetings, we’re moving quickly towards AI running parts of the business.

But where do we begin?

1. Embed Copilot in your organisation

• Deploy Copilot with a clear, structured adoption plan.
• Upskill and empower your people to understand and leverage it’s potentioal.
• Align usage with organisational goals and focus on removing productivity blockers.

2. Identify manual, repetitive and rules-based processes

• Think onboarding, approvals, scheduling, finance ops and other day-to-day workflows.
• If it’s a repeatable, step-by-step process, there’s a strong case for an agent.

3. Start small

• Look for quick wins to build familiarity and early success.
• Focus on where agents can make a tangible difference in your organisation demonstrating ROI.
• Build low-risk agents to experiment, learn and redefine.

4. Involve IT and Compliance early

• Agents require the same governance as any core system.
• Establish clear policies, controls and monitoring from the outset.

5. Don’t chase perfection

• AI adoption is iterative and evolves over time.
• Start small, learn quickly and build confidence as you grow.

The Copilot journey has shown us that AI doesn’t have to be scary. When it’s embedded in familiar tools focused on helping, not replacing, people, adoption follows naturally.

Agentic AI will follow the same path, but with even greater potential to transform how organisations function. We’ll soon see businesses with dozens of agents supporting everything from employee engagement to supply chain efficiency.

So, if Copilot is helping you get through your inbox faster, then get ready to redesign what work looks like for your business.

We’re already helping organisations understand, design and deploy AI agents that drive real impact. Get in touch to see how we can help you take the next step.

This article first appeared in the June 2025 issue of Connect

The post The rise of agentic AI: Redefining productivity beyond Copilot appeared first on Prosperity 247.

Understanding how your employees work and identifying which processes need improvement are crucial steps in implementing new technology effectively. Our people-first approach ensures that technology is not only adopted, but successfully embedded into your business. If you’re unsure of how to proceed, or are interested in how AI can support your growth, our team of experts are here to help.

Our Microsoft Copilot readiness service offering provide a strategic assessment of how Copilot can be integrated into your business to enhance productivity. This includes evaluating technical readiness, strategy and change management. According to the Jersey Business productivity survey, adopting new technology and AI is the top priority among respondents for improving productivity over the next 12 months. Embracing automation and technology is frequently cited as the ‘top tip’ for boosting productivity.

Check if you are eligible for a BBG here: Jersey Business Grant

• Businesses and charities must be registered in Jersey.
• Businesses must have been trading for a minimum of 6 months.
• Businesses must employ 1 person.
• Businesses must be up to date with tax contributions or on a repayment plan.

If you’re ready to boost your productivity and accelerate your business growth, Prosperity 24/7 is here to help you. With our support, you could make the most of your grant. Talk to us when you’re ready to apply and we’ll guide you on how to best invest your grant for your business.

The post Transform your business efficiency: Prosperity 24/7 joins Jersey Better Business Grant appeared first on Prosperity 247.

Defining innovation in business

At its core, innovation it is about finding novel ways to meet business objectives—whether that’s through introducing new products, adopting technology, or refining internal processes. Crucially, it’s not innovation for innovation’s sake, but about making meaningful changes that drive better outcomes. Whether by streamlining workflows with AI, refining processes, or implementing more collaborative tools, the true essence of innovation lies in its ability to solve real problems and increase workplace efficiency.

For example, AI can now be used to automate repetitive and mundane tasks, freeing up employees to focus on more strategic and creative work. It is allowing organisations, to enhance productivity, boost accuracy, and reduce human error—allowing workers to channel their time and skills into higher-value tasks.

Are organisations ready for innovation?

One of the biggest barriers to technological innovation is organisational readiness. Businesses stuck with outdated systems or rigid processes often struggle to adopt new technologies like cloud computing, data analytics, or automation, which can lead to stagnation. For innovation to thrive, organisations must ensure their data and systems are ready to integrate modern tech.

Data readiness is key—clean, structured data supports the adoption of AI, analytics, and other digital tools. Similarly, applications must be scalable and flexible to integrate new technology smoothly. It’s not just about adopting tech but embedding it into operations effectively.

Beyond technology, fostering a culture for their people that encourages experimentation and flexibility is essential. When organisations are both technologically and culturally prepared, innovation becomes a natural and continuous process rather than a one-off project.

What does good innovation look like?

Effective innovation is about gradual transformation rather than sweeping revolution. It should drive productivity, be scalable, and align with key business objectives. The focus isn’t just on introducing new ideas or technologies but on integrating them in ways that deliver practical, measurable improvements. Additionally, innovation includes adapting work models—such as flexible hours, remote work, and hybrid teams—that reflect the evolving nature of how organisations operate. By embracing these changes thoughtfully and with employee buy-in, businesses can foster a culture where both talent and productivity thrive. The true transformation lies in aligning these shifts with strategic goals, while keeping employees engaged and invested in the process.

Innovation is essential

In conclusion, good innovation in the workplace is about more than just technology—it’s about reshaping culture, processes, and practices to unlock the full potential of both employees and business operations.

It is not just a choice; it’s essential. The rapid adoption of tools like generative AI means companies must innovate to stay competitive. With 54% of early-in-career employees reporting that the availability of AI tools influences their choice of employer., and Linkedin job postings that mention AI receive 17% more applications, modern and innovative tools are not just becoming an expectation but now the common standard.

To attract top talent and lead in the market, businesses need to embed innovation into their culture, not just as a buzzword, but as a core value. Innovation is more than a word; it’s a mindset.

This article first appeared in the Jersey Evening Post Business Innovation Supplement

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Like previous technologies, AI has enormous potential.  The question is will it deliver on its promise and improve labour productivity?  Is it going to follow in the footsteps of the motor car and the personal computer, or will it be another shiny distraction?

According to McKinsey research, companies that see real increases in productivity from AI aren’t just “grafting technology onto existing operations”.  The right question isn’t “how could AI help me improve my current process?”, but “how can we redesign our processes to fully leverage AI for maximum impact?”.  This question shifts the focus from merely improving existing processes to fundamentally rethinking and redesigning them to harness AI’s full potential.

Companies that ask, “how can I do something new that hasn’t been done before?”, rather than “how can we get a machine to do the same thing as this person?” will be the most successful of all, as they create opportunities.

Here are a few examples of how AI tools can improve productivity:

• Content Production: AI helps to create content like product summaries from existing documentation or content for social media posts. It can personalize content for different customer needs and repurpose content for various platforms.
• Customer Service: AI powers chatbots, enabling customers to get first-level support independently without human interaction.
• Sales Support: AI listens to sales calls and extracts relevant information, which is then entered into a CRM.
• Inventory Management: AI predicts inventory needs based on sales data and trends, reducing gaps and overstocks.
• Business Information: AI automates insights and simplifies the analytical process, reducing the workload for analysts.
• Document Processing: AI examines documents and extracts relevant information to drive downstream workflows and processes.
• IT Support: AI monitors systems for issues, provides troubleshooting steps, and even automates routine maintenance tasks.
• Strategy Development: AI detects trends, supports customer research, designs strategies, and writes presentations.

To get the most out of AI and boost productivity, it’s essential to follow a well-thought-out playbook. This involves understanding the AI tools available and their uses, taking a holistic view of how AI fits into your broader system, engaging and equipping employees, optimizing processes before automating them, ensuring data quality and security, being prepared to iterate, and establishing checks and balances. Let’s dive into each of these steps to see how they can help your organisation maximise the productivity potential of AI.

1. Understand what’s in the AI toolbox

AI is not a single tool but a toolbox. Each tool can be combined with others, and they are continually evolving. Organizations need to understand the capabilities of each tool.

One way of looking at AI is by the type of data they work with – this approach splits AI capabilities into five key groups:

• Machine Learning: Used for predicting outcomes from various types of data.
• Natural Language Processing: Helps computers understand, interpret, and generate human language, including text and speech.
• Audio and Voice: Enables text-to-speech (TTS) and speech-to-text (STT) conversions, as well as voice recognition and synthesis.
• Computer Vision: Allows computers to interpret and process visual information from images and videos.
• Generative AI: Can create new content, including text, images, music, and more.

Keeping pace with technological advancements and selecting the right combination of tools is challenging. Therefore, partnering with experts who can provide guidance and investing in continuous learning and development should be a priority.

2.  Take a holistic view

AI should be viewed as part of a broader system that includes other technologies and people. Companies should adopt systems thinking to evaluate the entire organization and make informed decisions about where and how to implement AI for maximum impact. While isolated use cases are useful pilots, Gartner notes that taking a fragmented approach to AI implementation will lead to difficulties in scaling, managing risks, and realizing business value.   Research suggests that companies need to identify a slice of their business and rethink it completely. Changing the technology, operational processes and ways of working of an entire core process, journey or function will deliver a major improvement in performance that wouldn’t be achievable just by changing lots of isolated tasks.

3. Engage and equip your employees

Integrating AI into everyday workflows is a cultural transformation that touches every layer of your business, and its success depends on how well your employees adapt, engage, and work alongside the technology. Change management isn’t a nice-to-do – it’s a must-do. Organizations should consider a range of complementary activities, including regular updates and town hall meetings about AI initiatives to ensure clear communication and reduce resistance; small-scale pilot projects for testing and feedback before full-scale implementation; identifying change champions within the organization to advocate for AI adoption and provide support; customized training programs and e-learning modules to keep skills up to date; and the introduction of feedback mechanisms and incentive programs to encourage employee participation and innovation.

4. Optimise processes before applying AI tools

AI shouldn’t be a bolt-on to existing processes.  Organisations should be reimagining end-to-end workflows to maximize the role of AI and other digital tools, not just in completing actions but also in reporting, decision-making, and strategy development. Lean tools like Value Stream Mapping can help identify and streamline inefficient processes. Significant productivity improvements can often be achieved even before technology is introduced.

5. Ensure your data is secure and high quality

AI systems rely heavily on high-quality data. Organizations must invest time in sorting and cleaning their data, as poor data quality—including inaccuracies, inconsistencies, and incomplete data—can lead to unreliable AI outputs and reduced productivity. It is also critical to have controls in place to govern how sensitive data is handled and secured.

6. Be prepared to iterate

Big bang technology implementations are becoming a thing of the past. Agile methodologies should be used to support the rollout of AI technologies because this approach allows teams to refine the solution incrementally and respond to changes and new findings quickly. The speed of development of AI tools will mean that processes are likely to have a short lifespan before they need to be reviewed again. Continuous monitoring of the performance of AI tools over their lifecycle will highlight opportunities for improvement and trigger reviews of processes.

7. Establish checks and balances

As AI systems perform tasks previously involving human judgment, establishing guidelines for ethical usage, transparency, and accountability is essential. Organizations need to agree on questions such as: Which decisions or processes are too risky for full automation? How will bias be mitigated? How will AI usage rights, personal data privacy, security protocols, and other policies be applied? Are we ok with employees BYOAI (Bring Your Own AI)?, Who will be accountable for AI monitoring, retraining, and model updates post-deployment?

8. Measure the impact

Microsoft reports that 79% of leaders agree their company needs to adopt AI to stay competitive, but 59% worry about quantifying the productivity gains of A.  The best place to start is by establishing some metrics like completion rates and time saved, and gather employee feedback on efficiency and job satisfaction.  Organisations using Copilot will have access to Copilot-usage metrics which can provide insights into how the workforce is using Copilot, including meeting’s summarised and email drafts generated.

The transformative potential of AI technologies is huge, but realizing this potential requires more than just deploying the latest tools. It demands a holistic approach that integrates AI into the broader business strategy, redesigns processes, and continuously adapts to new insights and capabilities. By embracing systems thinking, lean methodologies, agile practices, and robust change management, organizations can navigate the complexities of AI implementation and unlock significant productivity gains.

As you consider integrating AI into your business, take a step back and evaluate your current processes. The journey to AI-driven productivity is not just about technology—it’s about transforming the way you work. Start today by conducting a business diagnostic and mapping out your opportunities. Improving productivity is within your reach, and it begins with thoughtful, strategic action.

If you would like to learn more about AI, our Microsoft Copilot Readiness Service or speak to one of our Agile Project Managers about an AI project please contact us

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At first glance these newfound methods of working have been beneficial, but they have come with some impact to our productivity and worklife experience. We are now carrying something called digital debt.  The inflow of data, emails, meetings, and notifications has outpaced our ability to process it all. The pace of work is only intensifying and every signal we receive needs our attention, so we spend our workdays in meetings or playing email and chat ping-pong, desperately searching for the uninterrupted focus time that we need to do our job in the precious time that we have left.

• Nearly 2 in 3 people (64%) say they struggle with having the time and energy to do their job.
• 62% say they struggle with too much time spent searching for information in their workday.

The Weight of the Workday

In today’s workplace, the average employee devotes a staggering 57% of their time to communication—whether in meetings, emails, or chat platforms. Unsurprisingly, these interactions often hinder productivity. In fact, inefficient meetings top the list as the number one disruption, while an overload of meetings ranks at number three.

But that’s not all. A whopping 62% of workers grapple with the relentless search for information during their workday. The result? We’re left with precious little time to tackle the very jobs we signed up for—the ones we envisioned when submitting our CVs.

So, it is clear we need help to navigate this digital labyrinth, to reclaim our focus, streamline communication, and carve out space for meaningful work. After all, our dreams didn’t include endless meetings and data scavenger hunts.

• 85% of emails are read in under 15 seconds, and the typical person has to read about 4 emails for every 1 they send.

2024- The Year that AI become a reality

We are already halfway through 2024 and  the use of Generative AI in the workplace since ChatGPT became generally available in November 2023 has become increasingly prevalent. Employees are leveraging AI to save time, boost creativity, and focus on critical tasks. AI is making us more productive.  We are starting to see these gains on an individual level and this is just the beginning, as generative AI at work spreads, AI will not just transform personal productivity but lift the capability of the entire organisation.

• 75% of knowledge workers now use AI at work With 46% users only starting to use it within the last six months.
• 78% of AI users are bringing their own AI tools to work (BYOAI)

Copilot For Microsoft 365

Copilot for Microsoft 365 is Microsoft’s Generative AI tool. Billed as our everyday AI companion, it is an AI-powered assistant designed to enhance productivity and amplify human creativity within the Microsoft 365 ecosystem. By seamlessly integrating with applications, we regularly use, like Microsoft Teams, Excel, Loop, Whiteboard and OneNote, Copilot streamlines complex work tasks, summarises meetings, and provides customised answers to data-related queries. Microsoft 365 Copilot’s responsible and secure AI practices ensure that organisations can achieve more than ever before, making it a valuable asset for businesses seeking efficiency, increased productivity and innovation.

The harmonious relationship between Copilot and Microsoft 365 applications lies at the heart of understanding Copilot’s significance and generative AI’s impact to the workplace revolution. As the majority of business users are part of the Microsoft ecosystem, use of Copilot is a natural extension.

Microsoft’s deliberate decision to embed Copilot directly into our daily work applications empowers us to introduce groundbreaking technology to our workforce. From dawn to dusk, every day of the week, Copilot becomes an indispensable ally. This harmonious fusion with Microsoft 365 not only streamlines our tasks but also grants us the transformative ability to reshape how businesses approach productivity and collaboration—right at our fingertips.

Impact

Copilot has quickly emerged as a transformative force for workplace productivity. Recent Microsoft studies have shown remarkable productivity gains among Copilot users, with 70% reporting increased productivity and 73% completing tasks faster. The integration of Copilot into daily workflows has led to a 29% increase in speed for tasks such as searching, writing, and summarising. Moreover, Copilot has been instrumental in reducing email processing time by 64%, allowing professionals to focus on more strategic tasks.

• Users from Microsoft’s early adopters’ programme for Copilot reported saving an average 14 minutes a day, or 1.2 hours a week, with 22% of users saying they saved more than 30 minutes a day.
• 30% said access to Copilot would even influence their choice of employer.

These statistics not only highlight the efficiency of Copilot but also underscore the potential of generative AI in enhancing workplace productivity. As we continue to harness the power of AI, the future of work looks more promising, with tools like Copilot paving the way for a more efficient, creative, and fulfilling professional environment. There is opportunity ahead for leaders is to channel employee enthusiasm for AI into business transformation, break free from the administrative shackles that the modern workplace has placed on us and pursue bold opportunities.

Find out more about how we can support your business with effective implementation of Copilot for Microsoft 365

This article first appeared in Connect Magazine

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In the last 14 months, people have flocked to ChatGPT to improve their productivity, whether that’s at home with holiday planning or recipe building, or now in the workplace with AI being used to help with more mundane and repetitive tasks. The world of AI is helping to promote new careers such as prompt engineering, AI generated material reviewers and moderators, regulators and ethicists, all making sure that the output is accurate and not misleading.

But we have seen technological change before – where technology improves our life, not worsens it. From the Spinning Jenny to the light bulb, from the telephone to the smartphone – every invention since the Industrial Revolution has quickly transformed our actions and many have changed our society deeply. AI is the same, maybe the change is faster but as with all new ‘big things’ in technology, the principles are the same.

At Prosperity 24/7, our role is to make lives easier through technology. To free up minds to create and innovate and inspire our clients to work in better and more efficient ways.  Embracing AI is the next stage in that evolution.  With Microsoft Copilot, Microsoft’s AI tool, we are learning the new capabilities it can bring us in transforming our everyday experience.

As a Microsoft Solutions Partner, we are helping our clients to make the most of Copilot and AI in the workplace.  For us, this is about putting people first, delivering technology solutions that work the way people work and helping our clients adapt to this new way of working without trepidation or anxiety.  It is not just about investing in new technology but ensuring that we take our colleagues with us on this journey of change.  It’s also for business leaders to see their return on investment in their software licence investments, to remain competitive in the marketplace as well as ensuring their teams are AI skilled and able.

We are supporting our clients to use Copilot to help them to solve everyday business challenges in the best way possible and free teams up to be more productive, more effective and more creative.

To ensure this happens successfully, we look at the way people work.  Not everyone can adapt to change in the same way.  Some people are fearful of it, while others embrace it.  This is where a sense of community and effective communication is really important.  Our Learning and Engagement team can support your business to drive change by focussing on how people use technology and by celebrating and sharing the successes.

Any new technological change programme should take the following steps to ensure success and Return on Investment:

1. Agree the approach – who are the key stakeholders? Do we have a mix of departments and levels represented across the business, along with executive sponsorship?
2. Business Scenarios – where and how will we use it in practice? Where will it have the most impact? What are the business scenarios and processes that can be improved with Copilot and AI? How can we use the technology to solve these challenges?  How we will measure the success? Who are our early adopters?
3. Communications and Training – How do we ensure we bring everyone along with us? Who will our change champions be to help us drive this change in our business practices?  How do we communicate the successes we have had with Copilot and share these with our colleagues.  What do our company wide communications to introduce new technology look like?
4. IT and Social Governance – what does our implementation plan look like? What measures and security do we have or need to put in place to ensure a safe and secure deployment?

Anyone can purchase a licence and play with AI but the only way you will have success and gain the productivity benefits is by upskilling your people and bringing them with you on the journey.

In the words of Henry Ford, “The only thing worse than training your employees and having them leave is not training them and having them stay.”

Find out more about how we can get your business ready for Microsoft 365 Copilot here

This article first appeared in the Jersey Evening Post Worklife Supplement on 10 June 2024

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A solid foundation and sufficient preparation will allow your organisation to deploy and adopt Copilot For Microsoft 365. Copilot is here, get ready now to harness the power of this technology and supercharge your organisation.

In this webinar, Marcus Bailey from Prosperity 24/7 with guest Dan Boyles discuss why AI is going to drive everything we use at work, what we need to do to be ready for Copilot for Microsoft 365, why readiness is so important, what tools you have at your disposal and the role your data plays in Copilot For Microsoft 365.

Join us on Friday 17th May between 10am and 11am to discuss:

• What is Copilot for Microsoft 365 & why all the hype?
• Myth busting Copilot for Microsoft 365
• How and why to prepare for Copilot for Microsoft 365 properly
• The role of your data with Copilot for Microsoft 365
• User enablement and the tools at your disposal
• Prosperity 247’s take on readiness
• Q&A

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