AI programmes don't fail
on technology.They fail on people.
Most organisations buy the tools and skip the transition. We handhold companies through the part that actually decides the outcome: how work, roles and behaviour change once AI arrives.
12 questions. Instant score. No email required to see your result.
of AI projects fail to deliver expected benefits
BCG
of what drives success is people, process and culture
Industry research
success rate with excellent vs fair change management
Prosci-aligned research
of workers have received any AI training from their employer
SurveyMonkey, 2026
The gap
Everyone budgets for the platform. Almost nobody budgets for the transition.
Successful transformations put roughly 30–40% of programme resources into change management: communication, training, workflow redesign and ongoing support. Typical organisations allocate about 10%.
The result is predictable. Tools get deployed and quietly go unused. Teams route around the new process. Nobody can say whether anything improved, because adoption was never measured.
Meanwhile 88% of organisations use AI in at least one function, but only 39% see measurable impact on the bottom line. The distance between those two numbers is the entire problem, and it is a change problem.
We work in that gap. Not as a vendor selling you a platform, but as the team that makes the platform you already bought actually change how work gets done.
What we do
Six ways we take the risk out of your AI programme.
AI Readiness & Diagnostic
We assess where you actually are: data, skills, processes, governance and appetite. You get a scored baseline and a ranked list of what to fix first.
Change Management
Structured adoption programmes built on established frameworks. Stakeholder mapping, resistance planning, communications, sponsor coaching and workflow redesign.
AI Literacy & Enablement
Role-specific training so your people can use AI competently and safely. Executives, managers and frontline teams each get a different curriculum.
Governance & Compliance
AI policy, risk registers and control frameworks aligned to the EU AI Act, UAE AI regulation and ISO/IEC 42001.
Use-Case Portfolio
Identify, prioritise and sequence AI use cases by value and feasibility, so effort goes where it returns rather than where it is loudest.
Adoption Measurement
Instrumentation and reporting that shows whether behaviour actually changed after go-live, not just whether the tool was deployed.
The method
Five phases. We stay until it sticks.
Diagnose
Baseline your readiness across data, skills, process, governance and culture. Surface the real blockers rather than the stated ones.
Design
Build the target operating model and the change plan: who does what differently, when, and with what support.
Prepare
Train, communicate, and equip sponsors. Handle resistance before go-live instead of after it.
Adopt
Run the change alongside your teams. We stay in the room while new ways of working take hold.
Embed
Measure adoption, reinforce what works, and hand over a capability your organisation owns without us.
Why now
AI adoption just became a compliance question.
Governing how your organisation builds and uses AI is no longer optional in the markets we operate in. Our London and Dubai bases sit either side of the two regimes most likely to apply to you, and we run governance as part of the change programme rather than as a separate workstream bolted on afterwards.
European Union — AI Act
Transparency duties and general-purpose AI oversight are in force. Obligations for high-risk systems follow on a staged timetable. Classification and documentation take months, so the work starts well before the date.
United Arab Emirates
The UAE has moved to a dedicated national AI framework with tiered obligations, alongside the federal PDPL and sector rules. Organisations operating in Dubai need an AI inventory and a risk position they can evidence.
ISO/IEC 42001
The international standard for AI management systems, and the most credible way to show customers and regulators that your governance is real. It also covers a large share of AI Act documentation requirements.
Regulatory timetables change. We confirm the current position for your jurisdiction and sector at the start of every engagement.
Where we work
Two hubs, one standard of delivery.
Change work needs someone in the room, in the right time zone, who understands how decisions actually get made locally. We keep a presence where our clients operate and add representatives as demand justifies it.
Represent us in your market →London
United Kingdom
UK and European engagements, with EU AI Act and UK GDPR exposure.
Dubai
United Arab Emirates
GCC engagements, UAE AI regulation, PDPL and free zone structures.
Representatives worldwide
We work with organisations globally and place local representatives where client demand supports it.
Find out how ready you actually are.
Twelve questions across data, skills, process, governance and culture. You get a score, a band, and the three things to address first. It takes about four minutes.