The work is organised around the three types of AI change: helping people work with AI, rebuilding processes around it, and turning what a business does into an AI product. Alongside it sits the large-scale delivery that underpins it: governed programmes, many stakeholders and services that have to keep running.
Organisations are described by type rather than by name.
Took a business from ad hoc AI use to governed, everyday use, through an introduction to AI for everyone, an AI council and small-group sessions that grew from chat tools to coding agents.
Around 85% of staff use AI weekly, and over half have built their own AI tool
Staff email a contract to one address. The system reads it, categorises it, files it securely and indexes it for search, with access restricted by team.
100+ contracts in one secure, searchable place, used every day
Designed and led the build of a multi-agent pipeline that turns a creative brief into localised assets for multiple markets, guided by expert rules and human sign-off.
Working prototype: 6 markets, 3 formats, 96 files in about 30 minutes
Took over a five-organisation programme assessing the move of 15 critical policing systems from central government to the direct control of policing.
£1m+ first-year budget approved, a further £2m+ secured
Why it matters for AI: Aligning many organisations behind one plan is the same skill distributed AI governance depends on.
Took over the agency's first move to a multi-supplier IT model, more than a year late, and got it live.
£3.2m projected cash-releasing benefit over 7 years
Why it matters for AI: AI workflows only deliver if they are transitioned and run as a managed service, which is exactly what this was.
Set up and ran the programme to move 200+ applications across the department and three of its agencies out of legacy data centres and into the public cloud.
£124m of cash-releasing savings in the programme benefits
Why it matters for AI: Running a large portfolio with business cases and benefits tracking is how AI use cases move from ideas to measured value.
Moved a national telemetry service, which collects flood and weather data from 5,500 field sites, to mobile IoT communications on AWS, starting with a proof of concept and then a live project.
Over £5m project value, projected yearly saving of over 30%
Why it matters for AI: Prove one step, then scale. The same approach takes AI from prototype to production.
Designed and built a cloud mobile device management service for over 20,000 users across three agencies, replacing BlackBerrys with iPhones.
65% licence discount, 30% lower support costs
Why it matters for AI: Rolling new technology out to 20,000 people across three organisations is the same challenge as enterprise AI adoption.
Earlier roles include digital and mobile delivery for consumer brands, head of PMO in financial services, technical director of an international B2B business and network design for major City institutions.