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Deployment isn’t adoption. Here’s what it really takes to get value from AI.

In the city where Alan Turing asked whether machines can think, BCN brought together Microsoft, our clients and some of the sharpest minds in AI to tackle the question every leader is asking: how do you turn AI into real business value – safely, and with your people on board?

6 min read

Why this matters now

Opening the day, BCN CEO Rob Davies told the story of Kodak – the company that invented the digital camera, then didn’t take the chance to change. It’s a warning that lands hard when AI agents are overtaking human traffic online, and when Rob suggested an AI could win a Nobel Prize within 30 years. His challenge to the room: think laterally about what AI could mean for your organisation.

BCN’s CTO, Mark Rotheram, explained that while models are changing exponentially, most business challenges can already be solved with earlier ones. Part of our job, he said, is to temper that pace of change inside your organisation – so you move with purpose, not panic.

Testimonial

Most business challenges can be solved with the models we already have. Our job is to help you temper the pace of change.

Mark Rotheram, CTO, BCN

Microsoft: what Frontier Firms do differently

Microsoft opened the agenda with ‘AI and the Future of Business’. Liz Leigh-Bowler and It’s Apay Obang-Oyway shared Microsoft’s view of the Frontier Firm: organisations that look at business outcomes through an AI lens – a better employee experience, a better customer experience, reshaped end-to-end processes and a steeper innovation curve.

Liz was candid about what’s happened since Copilot launched. Adoption has been inconsistent, change management is often missing, and value only arrives with accountability and consistent use that genuinely changes how people work.

Testimonial

AI can be confident with rubbish data.

Apey [Surname], Cloud & AI SMB, Microsoft

Apey set out the route from idea to impact: experiment, pilot in a sandbox, then scale across the organisation – all resting on data readiness, governance and security, and leadership in transformation. Microsoft also shared five stages of adoption and four habits of Frontier Firms.

Five stages of adoption

  1. Individual enablement
  2. Sharing ideas and skills
  3. Building and sharing agents
  4. AI augmenting a workflow
  5. Reimagining an outcome – the real challenge

Four habits of Frontier Firms

  • Focus on the problem, not the model
  • Agents, not chatbots
  • Redesign the work
  • Measure outcomes obsessively

The common thread: AI works best where good-quality data – structured and unstructured – meets well-understood process, with granular monitoring for governance and security as agents spread across the business.

The human side of AI: Ban Hasan

For many in the room, the stand-out session was ‘Adoption for Success’ from Ban Hasan, AI & Data Innovation Consultant at BCN, on the human factors of AI adoption. Her core point: deployment and adoption are two different stages, and they’re too often treated as one.

AI doesn’t behave like a traditional change management problem. It can create new work for other people, and it asks individuals to check things they’ve never had to check before – context, expertise, traceability, authority, standards and time.

Ban’s answer is a shared AI workflow, built on shared data, rules, ownership and judgement, that carries an organisation from deployment, through adoption, to value. Adoption, she noted, is where most organisations get stuck.

Deployment ≠ adoption

“The things that get in the way are properties of people, not the tech.”

Ban Hasan, AI & Data Innovation Consultant, BCN

The art of the possible – and an agent called Jules

Fraser Dear, BCN’s Head of AI and Data Innovation, showed what’s possible right now. He shared how Panira, former England rugby player Luther Burrell’s company, uses multiple dedicated AI agents to build a 360-degree external profile of an organisation, and explored the role of data in elite sport and how AI is disrupting consultancy.

Then the room met Jules: an AI agent that interviewed attendees through a QR code and played back what’s slowing organisations down. The answers were telling – data quality, skills and confidence. None of them are technology problems.

How Jules was built, on Microsoft tech many organisations already have

  1. QR code to join
  2. Power Automate
  3. Fabric SQL database and data agent
  4. Foundry agent
  5. Voice-to-voice avatar

Public and private sector, in their own words

Our ‘AI in Action’ client panel, hosted by Emma Portlock, brought together organisations at different stages of the journey – from data and governance foundations through to agentic AI – on both sides of the public–private line. The common thread was people: secure data and AI that takes on the grind free your teams to do the thinking – and lift job satisfaction too.

Testimonial

Using AI to improve resident outcomes and build strong communities, with productivity gains across multiple construction and maintenance sites.

Ben Cooper, Torus

Testimonial

Using AI across a business consultancy to give clients a unified experience – and to get the most value and engagement from its consultants, with faster, fresher, higher-quality advice.

Lucy Bourne, Oaka

Testimonial

Transcribing adviser and client conversations for a more consistent engagement journey – while advisers keep human agency, oversight and judgement.

Mike McCafferty, Wealth at Work

Two executive breakouts followed. In ‘Hidden in Plain Sight: Automating Admin with your Current Licence’, Andy James and Fraser Dear showed how much value is already sitting in licences you own – Copilot Chat and Microsoft 365 Copilot for individuals, Power Platform for teams, and Fabric and Foundry across the organisation. In ‘Human-Centred AI Adoption: Bridging Strategy, Technology and Adoption’, Ban and Mark generated AI use cases live with attendees, focusing on the processes most in need of help.

What our speaks concluded

  1. Start with the problem, not the model.
  2. Plan for adoption, not just deployment – they’re different stages.
  3. Get your data ready – AI will sound confident either way.
  4. Make governance an enabler: sandbox, monitor, then scale.
  5. Keep people in the loop – and measure outcomes obsessively.
  6. Start with what you already own – the quickest wins are often hidden in plain sight in your current licences.

 

Ready to move from deployment to value?

Across the public and private sector, the barrier to AI value is rarely the technology. It’s governance, data and people. That’s where we help. We get your data estate ready, put the right governance and security in place, and work with your business leaders to find use cases with a real return. Then we help your people adopt them – so AI changes how work actually gets done.

Book a chat about your AI project down down down

With thanks to Microsoft, our event sponsor, and to our clients at Torus, Oaka and Wealth at Work for sharing their experiences on our panel. Whether you’re ready for change or just curious about what’s possible, we’re happy to chat.

It’s people first, always.