Logins and prompt counts tell you people have opened the tool. They don't tell you whether anyone's work has changed. In this episode, Andy Lambert, co-founder of AcademyAI, talks to Donna Lovitt-Edwards, Head of AI Fluency at Informa, about how a 15,000-person business is shifting from AI adoption to genuine enablement.

Donna's starting point is simple: you can mandate access, but you can't mandate curiosity. Instead of pushing tools at people, Informa creates pull. Its learning labs start with a real bottleneck in someone's workflow rather than with AI, and attendees vote on which problems to solve. Everyone leaves with a new way of doing their own work, and some leave having learned that a problem isn't one AI can solve, which is fine too.

Donna explains how she measures enablement by working with finance to put a value on time saved, including a sales team targeting a 3% lift in conversions that saw 2% within two months. She talks about the loud 5% who already love AI and the silent 95% she's really trying to reach, and why some of the strongest resistance has come from early careers colleagues worried about whether their skills will stay relevant and about AI's environmental impact. She also covers why human in the loop is a design decision rather than a slogan, how Informa's AI Innovation Council weighs risk against value before ideas reach production, and why she believes AI transformation should sit with HR rather than IT.

Chapters
00:00 Introduction and Informa at a glance
01:47 From sales and L&D to Head of AI Fluency
05:13 Shifting from adoption to enablement
06:51 How to measure enablement
09:02 Being a super connector
10:48 Why you can't mandate curiosity
13:00 The loud 5% and the silent 95%
13:42 How Informa's learning labs work
19:21 Understanding resistance
20:39 The surprising sceptics: early careers colleagues
24:07 Human in the loop as a design decision
26:44 Prioritising ideas through the AI Innovation Council
32:42 Colleague-built apps and the internal marketplace
34:35 Commitment from the top
37:12 Finding the right person to lead AI transformation
38:01 Why AI should sit with HR
39:34 Fail fast, learn quick, move on
40:10 Where to find Donna

Connect with Donna
LinkedIn: Donna Lovitt-Edwards

Learn more about AcademyAI: academyai.co

#AITransformation #AIFluency #LearningAndDevelopment #FutureOfWork #AIAdoption

Most organisations have rolled out AI licences. Far fewer have got past meeting summaries. In this episode, Andy Lambert, co-founder of AcademyAI, talks to Rory Hill, Head of Corporate Transformation and AI at an NHS Trust, about how his team moves people from their first prompt to agents that work across the whole organisation.

Rory walks through the stair step model that came out of his first Copilot pilot: prompting, saved prompts, personal agents, team agents, then organisation-wide agents. Training, governance and controls all hang off that one structure, which gives every part of the organisation a shared way to understand what has to be in place before a use case can scale.

He also shares why staff who attended three to five sequenced training sessions used AI many times more than those who attended one, how his team reads digital maturity on two fronts (staff readiness and technical readiness) to turn "we can't build that" into "not yet", why reusable components like a shared mailbox agent shape prioritisation, and how the NHS measures return through time saved, staff experience and quality of work. He closes with a point for anyone in a similar role: the organisations that look slow now, because they are laying foundations, are likely to be the ones producing solutions with ease in a few years.

Most organisations have bought AI. Fewer can say they are actually better at anything that matters.

Andy Lambert (AcademyAI) talks with Richard Geary of Flow HQ about practical AI adoption: diagnose the real problem before you buy the shiny tool, train for adoption rather than checkbox tool skills, and close the gap between personal productivity wins and organisation-wide value.

Richard has worked through the early SaaS wave (Salesforce, Oracle), helped build SeatGeek’s B2B business toward unicorn status, and has trained thousands of people on AI. His bar is clear: he is not training a tool. He is training for adoption, so people leave able to do something they could not before, and want to keep doing it.

In this episode:

• Why rolling out licences first creates a shiny tool looking for a problem
• People → process → technology, in that order
• Why Sally in accounts and Brian in the stores know what leadership misses
• Enablement vs one-and-done certificates when models change weekly
• AI as “the world’s most well-read intern” and critical review after every output
• Personal Copilot wins vs measurable organisational ROI
• A cabinet-maker proposal workflow cut from hours to about 40 minutes
• What to say when someone tells you “we need to do AI”

Start with why. Find the people who know how the work really breaks. Buy the shiny tool last.

Guest: Richard Geary, Flow HQ Host: Andy Lambert, AcademyAI

AcademyAI: https://academyai.co

Andy's LinkedIn: https://www.linkedin.com/in/andyrlambert/

Richard;'s LinkedIn: https://www.linkedin.com/in/gearyrichard/

Most organisations have the AI tools. Far fewer are actually AI capable. That's exactly where individual productivity and enthusiasm fail to add up to real organisational value.

Andy Lambert (co-founder AcademyAI) and @EricaFarmerai , Influential AI Skills Speaker and Author (Quantum Rise Talent Group) discuss why AI capability spreads so unevenly, across teams, seniority levels, and individuals.

We get into what's really driving the gap, including the organisational design decisions sitting behind it, what HR and people teams are doing about it that works, and why proving capability matters more than assuming it, especially once a board or regulator asks for evidence rather than a training completion rate.