The Multiverse blog

Following successful pilot programmes that delivered measurable improvements across its operations, the University of Southampton is expanding its digital training initiative to a wider cohort of staff. The AI and Data apprenticeships programme with Multiverse has welcomed an additional 150 colleagues, marking the university’s largest cohort yet.

Initial participants were quick to apply their new skills and drive tangible business impact, with one learner mitigating room inspection failures through clearer data and the implementation of a new process tracker. Other learners made strides in reducing admin bottlenecks, with one significantly cutting down reporting time and another developing a Power BI dashboard which led to a major reduction in issues with student engagement monitoring.

Building on this success, the University has recently extended the programmes to a new cohort of staff, reflecting the demand for digital skills across the organisation and the value demonstrated by earlier cohorts in increasing accuracy and reducing the burden of manual activities.

Staff have enrolled into one of four Multiverse courses, including AI-centric programmes Level 3 AI-Powered Productivity and Level 4 AI for Business Value. These courses will improve confidence in ethical and effective AI tool adoption, including Microsoft 365 Copilot, helping teams to integrate these tools into tasks across their workflows.

The Level 3 Data & Insights for Business Decisions and Level 4 Data Fellowship programmes will improve data handling and automation in Excel, PowerBI and Tableau, and train staff in predictive and statistical modelling to tackle hands-on projects and handle real operational challenges effectively. 

Andrew Atherton, VP International and Engagement and Digital Strategy Sponsor at the University of Southampton, said: “Multiverse’s training programmes have shown what’s possible when staff are given the tools and confidence to apply digital thinking to their work. Having secured significant results already, we’re excited to equip even more of our people with robust skills in AI and data, helping us to deliver even better services for students and increase job satisfaction for employees.” 

Gary Eimerman, Chief Learning Officer at Multiverse said: “It’s fantastic to see the impact that Multiverse training has already had on the University of Southampton, whether it’s fewer room inspection failures or reduced reporting time. Expanding the training will give more staff the opportunity to innovate in their roles, creating a shared digital culture across the University.” 

Multiverse is the upskilling platform for AI and tech adoption, which delivers personalised, on-the-job learning. Multiverse has trained more than 20,000 apprentices in AI, data and digital skills since 2016.

Over 1,500 companies work with Multiverse to deliver a new kind of learning that’s transforming the workforce at scale. Programmes are targeted at people of any age or career stage.

Age UK, the leading charity for older people, is partnering with tech upskilling platform Multiverse to launch an AI and Data Academy. The initiative will equip 60 team members with critical digital skills, transforming how the Charity supports the millions of older people currently facing poverty and isolation.

As the UK’s ageing population continues to grow, the demand for Age UK’s services has never been higher. Nearly 2 million older people are currently living in poverty, often hidden from traditional support networks. This partnership moves beyond traditional charity operations, using technology as a force multiplier to reach more vulnerable people with its services.

The training initiative will empower the organisation to modernise their processes, secure data-led insights and adopt new technology. By strengthening digital skills across its teams, Age UK can reduce delays in live fundraising projects, identify future fundraising opportunities, and streamline critical tasks such as writing funding bids, which can take weeks of employee time to complete manually.

Donna Marshall, Chief People Officer at Age UK, said: “Our people are deeply committed to the meaningful work that they do, and this partnership with Multiverse is a significant investment in their growth and the future of the Charity. By launching this AI and Data Academy, we are empowering our team to work more effectively, so they’re able to focus on what truly matters.”

James Radford, Strategy and Transformation Director at Age UK, said: “To address the complex challenges of poverty and isolation in an ageing population, we must be as agile and data-informed as possible. That means developing data and AI capabilities across our teams to unlock insights that allow us to scale our impact and target our resources to reach more people that need our support. The Digital Academy is therefore a key part of our transformation strategy.”

Staff will be enrolled across five Multiverse training programmes, including the Level 3 programmes Data for Insights and Business Decisions and AI-Powered Productivity, which introduce learners to data and AI platforms, such as Microsoft Copilot and Power BI.

The Level 4 Data Fellowship delivers training in programming, data modelling and analysis skills, while the Level 4-6 Advanced Data Fellowship will deepen technical expertise in data storage, machine learning and data flow automation. 

Gary Eimerman, Chief Learning Officer at Multiverse said: “Charities like Age UK deliver critical support to those in need, and as the need for charity support grows, so do the demands on those delivering these services. To help meet these demands, Age UK is leading the way by removing digital barriers, streamlining processes and unlocking valuable time through data insights and responsible AI uses.”

Multiverse is the upskilling platform for AI and tech adoption, which delivers personalised, on-the-job learning. Multiverse has trained more than 20,000 apprentices in AI, data and digital skills since 2016.

Over 1,500 companies work with Multiverse to deliver a new kind of learning that’s transforming the workforce at scale. Programmes are targeted at people of any age or career stage.

Before Multiverse, what was the alternative for a 42-year-old whose role is being automated? An evening course? A YouTube tutorial? In too many cases, the answer was nothing at all.

I started Multiverse nearly ten years ago because I saw an acute problem: a huge gulf between the skills workers had and the skills the economy needed. Ten years on, that problem has got harder. Employer investment in training has fallen by nearly £10 billion in real terms. Hundreds of thousands of vacancies in the NHS, social work and teaching go unfilled. More than a quarter of all employer vacancies are skills-related. And now we face something genuinely existential: AI-driven displacement that will impact every worker, in every sector.

The OBR's March 2026 forecast shows a £90 billion swing in public borrowing depending on whether productivity improves - and names AI adoption as a key factor. UK output per person has flatlined since 2019. The cost of inaction is not abstract.

Last year, Multiverse accounted for more than half of all growth in apprenticeship starts across the entire system. That growth brings responsibility, and accountability where we fall short. So let me be direct about both.

On completion rates: ours are too low, and I want them higher. Our last published QAR (the government gathered metric for completion) sits at 52.6%. Our highest-level programmes complete at c.70%, our software developer programmes complete above 80%, and our data degree apprenticeship has topped the National Student Survey for satisfaction two years running. The gap elsewhere reflects deliberate choices that I stand behind, with caveats.

For our AI programmes, we chose an inclusive approach to enrolment. Employers asked us to reach frontline workers - the people who typically get passed over for formal training. The result is a 50/50 gender split on our two biggest AI programmes and genuine reach across the country. That approach comes with a real tradeoff on completion, but even among those who withdraw, 70% have already generated measurable value for their employer. One of our NHS apprentices reduced missed appointments in a hospital department by 30%. A pay rise or promotion during or after the programme is the majority outcome for our learners.

We also hit friction because the regulated apprenticeship system hadn't caught up with AI. The release of the first general purpose AI apprenticeship is now imminent; but nearly four years after ChatGPT launched. The right answer was never to simply ignore AI from an apprenticeship perspective - but we paid a price in our QARs for innovating ahead of the programmatic standards available. We're working to close that gap.

On whether we take more than we give: Multiverse has put $500 million of investment capital into the skills system — the largest non-governmental investment in the skills system anywhere in the world. Our learners have driven more than £2 billion in measurable ROI for their employers. Our AI coach, Atlas, now handles 15 million queries with a 98% satisfaction rate. Since 2020, we've contributed £102 million in Income Tax and National Insurance through our employee payroll alone.

And we train apprentices aged 16 to 70. That's not a mission drift — it's the most urgent expression of our mission. The cost of a Multiverse programme is a fraction of the cost of redundancy, rehiring, and starting again from scratch. Apprenticeships for a 45-year-old facing automation and apprenticeships for an 18-year-old who can't afford university are both responses to the same broken system. We shouldn’t pit them against each other; the country needs more of both.

On growing too fast: I accept that growth creates strain, and that in regulated markets innovation creates friction. We haven't always managed that strain as well as we should. We weren't prioritising formal careers advice for experienced workers, as an example - assuming they wouldn't want it from us. The regulator sees it differently, and we're now embedding it across all programmes. Where we've created friction, we'll own it and adapt.

But the apprenticeship system's core problem is not that providers have grown too fast. It's that the system hasn't grown at all. The NHS starts c.20,000 apprentices in a workforce of 1.4 million. Its own Long Term Workforce Plan targets 22% of clinical training through apprenticeship routes by 2031. It’s only 7% today. Funds available for apprenticeships expire unused every year. Total starts remain below pre-levy levels. We employ a sales team that is unashamedly relentless in trying to persuade every employer who will listen that educating their workforce is a good thing, and that it’s a worthwhile investment to make - both for them and for their workers.

In that context, growing too fast is not the right criticism. The right question is: why isn't everyone growing faster?

We are reinvesting everything we earn into building a reskilling infrastructure that didn't exist before. We are not going to stop. There is an alarming world where workers facing automation have nowhere to turn. They deserve a pathway, and we're proof that when you build one, people will take it. The skills gap is not inevitable. The question is whether we'll move fast enough, and boldly enough, to close it. And ten years on, there’s still a lot more for us to do.

— Euan Blair

‍

The firm is advancing its AI strategy with Multiverse to drive operational excellence across its business.

Leading business process outsourcer Capita is accelerating its adoption of artificial intelligence by expanding its partnership with Multiverse, the upskilling platform for AI and tech adoption. After successfully equipping more than 500 employees with advanced AI skills, Capita is now enrolling a further 250 staff members onto Multiverse programmes to embed AI-driven efficiency across the organisation.

To date, Capita’s initial cohort has saved an average of 10 hours per week per learner, delivering over 400 applied AI projects and identifying 40 unique AI use cases. These efficiency gains represent a significant shift toward a data and AI-augmented workforce, where technical skills are used to remove manual administrative burdens and accelerate decision making.

This expansion is central to Capita’s AI transformation strategy, building practical AI skills that improve delivery and reduce cost-of-service. By spreading AI capability across its departments, Capita is enabling its workforce to focus on high-value, strategic work.

Richard Holroyd, CEO of Capita Public Service, and the programme sponsor of the expanded training, said: "Our early work with Multiverse has demonstrated that when you give talented people the right skills, the impact is clear.

“We’re now building on that success as we broaden this training, showing through our own transformation how responsible, practical AI adoption can improve how we work, strengthen our delivery, and set a standard our clients can trust. By getting this right internally, we create a blueprint for the innovative, high‑quality solutions we take to market.”

Euan Blair, CEO and Founder of Multiverse, said: "Capita is showing exactly what it looks like to put AI to work, giving its teams the skills to actually use it every day. Seeing hundreds of people move from curiosity to delivering real results—like saving ten hours every week—proves that when you give a workforce the right training, they can solve even the most complex problems."

Dave Collingwood, a Training Operations Manager and Multiverse learner at Capita, joined the programme to discover how AI could be applied to his daily responsibilities. He identified a major bottleneck in the training team’s booking process and built a solution that reduced the time required for a single booking from eight minutes to just 30 seconds. This single project saved 30 business days of manual work each year and created a more auditable, data-rich system.

Dave is now applying these skills to Capita Fire and Rescue, where he is developing an AI agent to provide 100% assurance on the 6,000 fire risk assessments completed annually, eliminating potential inconsistencies and enhancing public safety.

Dave said: "I'll admit I started the programme unsure of where I’d actually be able to apply AI skills to my day-to-day work. But through the process, I realised just how many of my workflows were bogged down by manual steps that could be far more efficient with AI. Now, I’m confidently building agents that automate that manual work, not only saving my team significant time but also drastically reducing the room for human error."

Capita’s initial cohorts were enrolled on the AI for Business Value, Level 4, programme, which teaches professionals to identify and execute high-impact AI use cases that solve business problems. The next cohort will join the AI-Powered Productivity, Level 3, programme, focusing on the practical application of Generative AI tools like Microsoft Copilot to enhance daily workflows.

Through this continued collaboration, Capita is establishing a new benchmark for operational excellence by turning high-potential skills into impactful business results. By equipping its workforce to lead the AI revolution, Capita is ensuring that it remains at the forefront of industry innovation.

New research from AI upskilling platform Multiverse has uncovered a significant perception gap in the UK’s white collar workforce. Currently, 59% of leaders believe their employees collaborate with AI every day, yet only 42% of employees report doing so—a 17 percentage point disparity that highlights a critical lack of visibility into frontline operations.

The study suggests that many UK executives may be flying blind during this major technological shift. The disconnection is most pronounced in the realm of autonomy. While 23% of CEOs believe employees are already delegating entire tasks to AI, only 8% of employees say they are doing so.

The research also exposes a stark divide that further complicates the transformation landscape. Seniority alone accounts for a 30 percentage point gap in AI adoption: while 52% of mid-level workers collaborate with AI daily, only 21% of junior employees report doing the same. This disparity persists across management levels, with nearly half (48%) of middle managers using AI day-to-day, compared to just 20% of individual contributors.

Despite a bullish outlook on AI’s potential, the research indicates that leaders are insufficiently prepared to guide their organisations through this transformation. More than half (55%) of leaders have received less than five hours of formal AI training from their organisations. Instead, 58% are forced to rely on informal experimentation with tools like ChatGPT to self-teach the basics.

This lack of structured upskilling is directly contributing to adoption hurdles. Both leaders (53%) and employees (57%) cite resistance to change as a primary challenge, while roughly half of both groups point to a negative mindset toward AI as a barrier to progress.

The appetite for change exists, but it requires a shift from informal playing around to structured, long-term development. 85% of leaders and 78% of employees agree that more frequent training is essential to keep pace with the current rate of change.

Gary Eimerman, Chief Learning Officer at Multiverse, said: “AI is not a monolithic tool, and its application varies wildly between a junior developer, a middle manager, and a CEO. The 30% gap in adoption we see between seniority levels is a clear signal that the one-size-fits-all approach to AI is failing. To bridge this divide, businesses must move beyond generic training and implement custom AI upskilling paths tailored to the unique daily workflows of every individual.”

To truly land AI transformation, organisations must shift toward an applied learning strategy. By developing custom AI frameworks that address the specific needs of individual workers, leaders can move from flying blind to driving a cohesive, organisation-wide transformation.

Pan Macmillan has launched a new AI Academy for colleagues, as part of a push to upskill its people and build a more sustainable publishing industry. Training will be provided by Multiverse to 20 colleagues across departments - including colleagues from editorial to finance, design and operations - helping them deliver more effective service to authors and illustrators through responsible AI use.

By harnessing AI to enhance processes and workflows, the publisher will ensure an aligned and ethical approach to AI is embedded across the business. This will unlock time and cost savings that allow them to deploy more resources towards the meaningful work of building relationships, developing new creative ideas and bringing books to the widest possible market. Training will promote coordinated and strategic AI use while improving efficiencies so teams can focus on attracting new readers and delivering the best results for their authors and illustrators.

Pan Macmillan is a partner of the National Year of Reading, a UK-wide campaign backed by the Department of Education and delivered by The National Literacy Trust, to help more people discover the joy of reading. According to the National Literacy Trust, only one in three eight- to 18-year-olds enjoy reading in their spare time – a 36% drop in two decades.

Joanna Prior, CEO at Pan Macmillan said: “Publishing is a people business, fuelled by the hard work and dedication of our teams and the brilliant creativity of our authors and illustrators. Our partnership with Multiverse to launch the AI Academy is about empowering our people with the tools they need to thrive in a rapidly evolving landscape.

"By mastering responsible AI, we aren't just improving workflows; we are unlocking the time and energy needed to focus on what truly matters: building deep relationships and finding new ways to bring stories to life. This isn't about replacing the human touch - it’s about enhancing it.

"At a time when literacy rates are a growing concern, we have a clear responsibility to use every innovation at our disposal to reach more readers and broaden our impact. We are looking ahead with curiosity, ensuring that as we grow more efficient, we remain a forward-thinking home for the very best talent in the publishing industry."

Briony Grogan, Director of People and Culture at Pan Macmillan said: “Our new training programme with Multiverse exemplifies our commitment to giving our teams the skills needed to thrive and best serve our creative community. Gaining a better understanding of AI tools gives our people a toolbox for the future and ensures that we will continue to thrive as a publisher for many decades to come.”

Gary Eimerman, Chief Learning Officer at Multiverse said: “Pan Macmillan has been a cornerstone of the British publishing industry for over 180 years. We are proud to be launching our latest AI Academy with a company that carries such social and cultural impact. We look forward to supporting their teams in embracing future-focused skills development that will deliver measurable results to the business on their campaign to reach more readers."

The training will see learners enrolled on Multiverse’s Level 4 AI for Business Value, which helps harness AI tools such as Power BI and Microsoft Copilot, and supports users with integrating them into everyday manual tasks.

Multiverse is the upskilling platform for AI and tech adoption, which delivers personalised, on-the-job learning. Multiverse has trained more than 20,000 apprentices in AI, data and digital skills since 2016.

Over 1,500 companies work with Multiverse to deliver a new kind of learning that’s transforming the workforce at scale. Programmes are targeted at people of any age or career stage.

A native New Yorker with a career built at the intersection of culture and technology, Jay’s fingerprint is on some of the most foundational tech products of the last two decades. From the early days of Hulu to a decade-long tenure helping scale Spotify from a startup to a global powerhouse, and most recently leading AI-driven commerce systems at Amazon, Jay has a proven track record of finding the next before it becomes the now.

Now, he’s moved to London to lead the next phase of the Multiverse product journey. We sat down with him on his first day to talk about his bet on the future of AI, the cultural discipline of dogfooding, and the lessons in timing he’s carried from Spotify and Amazon to Multiverse.

Press release.

As you start this new chapter at Multiverse, what’s one cultural ritual you’re excited to establish to ensure we keep building at the highest possible standard?

Dogfooding.

We should never subject customers to an experience we would not subject ourselves to. If we are lifelong learners, we should be taking the courses we offer and using the products we build as real customers do.

If something frustrates us, confuses us, or feels harder than it should be, we fix it. And we fix it quickly.

We are only as good as the product we put into the world. There is no such thing as a great team building a bad product. And there are no great products that emerge by accident from teams that are not deeply invested in the experience.

To be truly customer obsessed, we have to live with our products every day. We should feel embarrassed when they fall short and genuinely proud when they delight.

That discipline is how high standards become a habit.

Every great CPO leaves a fingerprint on the team they lead. When you look back two years from now, what would you like Multiverse to be known for in the tech community?

I’d like Multiverse to be known as the company that took a different bet.

While much of the tech industry is focused on humans making machines smarter, Multiverse focused on building machines that make humans smarter.

I’d want us to be known for proving that AI can strengthen judgment, accelerate learning, and expand human capability in real work, not just automate tasks or generate outputs. For building systems that people trust because they genuinely make them better at what they do.

If the tech community looks at Multiverse and sees a company that chose depth over hype, capability over convenience, and long-term human impact over short-term efficiency, that’s a fingerprint worth leaving.

That reputation would matter more to me than any single product or feature.

Describe your career in your own words.

I’d describe my career as a long arc of building at the edge of what’s next, and learning a lot about timing along the way.

I’ve always been drawn to inflection points. Moments when technology shifts behavior, but the path forward isn’t obvious yet. I tend to spot those trends early and lean into them, even when the outcomes aren’t guaranteed.

Sometimes that meant being too early. Early in my career, I worked on one of the very first consumer mobile apps built for the Palm Pilot pre-smartphone era. The idea was right, but the world wasn’t ready. The devices needed cellular connectivity, a real app ecosystem, and infrastructure that simply didn’t exist yet. That experience taught me an important lesson: innovation isn’t just about seeing the future, it’s about understanding what needs to be true for it to arrive.

Other times, it meant being early but patient. I was part of the launch of Hulu, one of the first major video streaming platforms. While the direction was obvious, mainstream adoption took years to develop. Consumer behavior had to catch up and the industry needed time to recalibrate.

At Spotify, the timing was different. The world was ready after Napster. People clearly wanted on-demand access to music. But the business model didn’t exist yet. That challenge required innovation across product, monetization, creator economics, and licensing. It wasn’t just about building a great experience, it was about inventing a system that could sustain it.

More recently at Amazon, I’ve been working exclusively on AI products since the moment ChatGPT launched in November 2022. What immediately stood out to me was not just the capability of the technology, but the speed at which it would reshape work itself. That recognition has driven my focus ever since: not just on what AI can do, but on how it changes skills, roles, and expectations.

Looking back, the common thread is a deep curiosity about where things are going, a willingness to act early, and a growing appreciation for timing, execution, and systems that can turn breakthrough ideas into lasting impact.

What’s your fun fact!

The first time I ever went skiing was in college, and I did it in the least sensible way possible.

I had never skied before. I’d never taken a lesson. I joined the ski club anyway, bought second-hand boots and skis that were far too long, wore jeans, a thin shell jacket, no helmet, and went out on opening night.

It was about -29°C, after dark, and the only trail open on the mountain was a double black diamond.

It took me nearly two hours to get down. Every crash meant my skis and poles were scattered somewhere uphill, so I had to hike back up to collect them before continuing. When I finally made it to the bottom, exhausted and frozen, I got back on the lift and went again.

I’m not sure what that says about me, or how “fun” the fact really is, but it’s one of those stories people tend to remember.

Jay’s arrival marks a new chapter for our Product and Engineering teams, one defined by high standards and a relentless focus on human-centric AI.

If you are a builder who wants to join us on our journey, we’re hiring across our Tech team. Click here to see our live jobs.

Multiverse, the upskilling platform for AI and tech adoption, today announced the appointment of Jay Richman as Chief Product Officer. Richman, a veteran product leader who most recently led the development of agentic AI systems at Amazon, is relocating from New York to London to take on the role.

As Chief Product Officer, Richman will oversee the continued growth and development of Multiverse’s technology platform. The Multiverse platform has enabled more than 30,000 learners across 1,500 customers to close their skills gaps through an end-to-end solution that unlocks productivity through a mixture of human expertise and a Socratic AI coach, Atlas. Atlas has more than tripled its daily active users in the last year.

Richman joins Multiverse as the next step in a career that has seen him build products at the centre of emerging technology movements multiple times over. He worked on the launch of Hulu, one of the first major streaming platforms, before spending a decade at Spotify, where he was instrumental in scaling the company’s advertising, subscription and podcasting businesses. After helping ready the company to go public, he moved to Amazon, where he focused on building AI-driven systems that create and optimise content through generative and agentic AI.

“Multiverse feels like the right company, in the right place, at the right time,” said Jay Richman, Chief Product Officer at Multiverse. “While much of the tech industry is focused on humans making machines smarter, Multiverse is taking a different bet: building machines that make humans smarter. Central to this is building a great product experience that customers want to keep coming back to, which will help us to scale this mission globally.”

His move to London comes at a time of heightened global competition for tech talent, and demonstrates the draw of the UK capital as a place for companies to scale.

On his move to the UK, Richman added: “As a native New Yorker, I don’t say this lightly, but London genuinely feels like a city on the upswing. The talent density is remarkable and it has become a place where people from all over the world come not just to work, but to build.”

Euan Blair, CEO and Founder of Multiverse, said: "Jay has built technology platforms that reshape how people interact with media, commerce, and content, driving meaningful shifts in behaviour at scale. As we expand our efforts to equip as many people as possible with the skills to seize the opportunities of technology, Jay’s experience building enterprise-grade AI systems deployed globally will be vital. He shares our conviction that AI’s greatest value lies in expanding human capability and judgment, rather than just driving short-term efficiency."

The appointment follows Multiverse surpassing $100 million in revenue in the last financial year, with net revenue retention also now above 120%. The company recently expanded into Germany, with an ambition to upskill 100,000 German workers to help close the widening digital skills gap.

Multiverse has trained more than 30,000 apprentices from customers including Babcock, John Lewis Partners and KPMG in AI, data and digital skills since 2016.

Brentwood Borough and Rochford District Councils are strengthening their digital capabilities through enrolment in digital and AI productivity programmes with Multiverse. The 33-strong cohort will increase digital literacy and AI adoption across both councils, while helping build a digital-first culture aligned with each council’s new Digital Strategy for 2025-2028.

With ambitions to become two of the most digitally equipped councils and address systemic resource challenges, the councils aim to equip teams with the skills and knowledge to use AI tools and boost productivity without the need for additional IT and technical support. This will reduce admin bottlenecks and free up time to improve local public services.

Both councils have enrolled in Multiverse’s Data & Insights for Business Decisions and AI-Powered Productivity courses. Staff will build the technical and analytical skills needed to turn data into actionable insights, while the ‘AI Powered Productivity’ course will introduce AI fundamentals and upskill teams in tools such as Microsoft 365 Copilot and Gemini.

Jonathan Stephenson, Chief Executive of Brentwood Borough Council and Rochford District Council said: “As part of our ambition to improve how we serve our local community, we want to equip staff with the skills and knowledge needed to effectively manage resources. Our partnership with Multiverse will support us to embrace new technologies to help us better understand our resident’s needs and target support more effectively.”

Sarah Bennett, Director of Customer and Digital at Rochford District Council added: “Ultimately, we want to deliver the best possible service outcomes for our communities. To do this, it’s vital that we begin embracing digital technologies to deliver more sustainable services and protect our staff from increasing demands. Partnering with Multiverse means our staff are equipped with the skills needed and we can start to embed a digital-first culture across the organisation. It’s an exciting step forward for the council.”

Gary Eimerman, Chief Learning Officer at Multiverse said: “By investing in AI tools and improving digital capabilities through training, Brentwood Borough and Rochford District Council are empowering teams to adapt to future change, enabling better outcomes for the communities they serve. We are proud to support both councils realise these new capabilities and help them unlock new efficiencies to better support their communities and staff.”

Multiverse is the upskilling platform for AI and tech adoption, which delivers personalised, on-the-job learning. Multiverse has trained more than 30,000 apprentices in AI, data and digital skills since 2016.

Over 1,500 companies work with Multiverse to deliver a new kind of learning that’s transforming the workforce at scale. Programmes are targeted at people of any age or career stage.

Keltbray, a leading construction engineering services provider, is training 25 of its staff through upskilling platform Multiverse. The programme aims to increase team capacity and develop its portfolio in the energy, digital, industrial and nuclear sectors.

Most of the cohort will be enrolled on Multiverse’s Level 3 AI Powered Productivity course, supporting them to effectively leverage GenAI, with the use of tools like Microsoft 365 CoPilot. The remaining learners will join the Level 3 Data & Insights for Business Decisions programme, empowering them to turn data into actionable business insights. By harnessing these tools and skills, the learners will spend less time on repetitive manual tasks, improve communication streams and enhance data analysis, strengthening security and compliance across services.

The training will also serve Keltbray’s wider business impact, creating a more inclusive and accessible workplace. Learnings will support the company to focus on strategy, streamline tasks and improve overall results for clients, allowing teams to focus time on driving contracts in fast developing sectors.

James Dawson, Head of Learning and Development, at Keltbray said: "We’ve launched the Keltbray AI Academy because we’re at a point now where improving our Data and AI capability isn’t just a nice-to-have — it’s become essential. The work we do is getting more complex, the expectations are higher, and the opportunities are bigger. Building a strong foundation in these critical skills will strengthen our position within the industry and support our continued expansion into new sectors.”

Gary Eimerman, Chief Learning Officer at Multiverse said: "In order for Keltbray to continue to grow their established and diverse portfolio across construction and engineering, team collaboration and strategic planning is key. The launch of our latest AI Academy presents an exciting opportunity to support staff in advancing toward the organisation’s objectives, while nurturing talent development across the business."

Multiverse is the upskilling platform for AI and tech adoption, which delivers personalised, on-the-job learning. Multiverse has trained more than 20,000 apprentices in AI, data and digital skills since 2016.

Over 1,500 companies work with Multiverse to deliver a new kind of learning that’s transforming the workforce at scale. Programmes are targeted at people of any age or career stage.