Why most AI projects fail, and how we ensure yours succeeds
RAND research found more than 80% of AI projects fail to deliver business value. Not because the technology fails, but because nobody uses it. Our method is built around that one fact.
The difference
Two ways to run an AI programme
The traditional way
- Build the technology
- Hand it over
- Nobody adopts it
✕ Wasted budget
The Datagaia way
- Build the technology and adoption in parallel
- Train, coach and embed AI champions
- Your team owns it and uses it from day one
✓ Measured business value
The AI Value Creation method
Four steps, run in parallel with your team
Technology and adoption are built together, not in sequence, so by the time the solution ships, the people who need it already know it, trust it and use it.
Diagnose the value
Business priorities, AI opportunities, data readiness, process maturity, workforce capability, and the barriers in the way.
Build the right solution
The AI tools, data foundations and workflows designed for those priorities. Bespoke: the technology adapts to your business, not the reverse.
Help people adopt it
Role-based training, coaching, AI champions and change management, running alongside the build from day one.
Measure the result
Productivity, quality, decision speed and commercial value, tracked openly, then iterated.
Principles
How we work
Outcomes, not tools
Grow revenue, cut manual work, make faster decisions, build a capable workforce. Value is measured in business results, not deliverables.
Tech + people together
AI as an amplifier of people, never a replacement. Adoption is a core technical requirement, designed in from the start.
Bespoke, not off-the-shelf
The technology adapts to the business, not the reverse.
Teach them to fish
We upskill your own team so they own the system, and keep improving it, after we leave.
Ways to engage
Eight ways in
Every package is delivered start to finish by a partner. We spent twenty-five years on your side of the table, running the RFPs and owning the results.
Start
AI Leadership Workshop
- Half-day or full day
- Fixed fee
Your leadership aligned on which AI use cases matter — in one session.
- Use-case shortlist with a named owner for each
- Where value sits in your operating model
- The governance you'll be held to, in plain terms
Run by partners who have presented AI strategy to boards and investment committees.
AI Opportunity Scan
- 1–2 weeks
- Fixed fee
The five AI use cases worth doing in your business, ranked by value.
- Value and effort estimated per use case
- The data gaps and risks each depends on
- A 90-day roadmap with owners and measures
The method one partner used to map 850 requirements across a bank.
Prove it
Most popular
AI Agent Prototype Sprint
- 3–4 weeks
- Fixed fee
A working agent on your data, used by your people — in a month. Not a deck.
- One use case built to working prototype, guardrails included
- Tested by the people who would actually use it
- A clear verdict: scale it, rebuild it, or stop
- Stalled pilot? Same sprint, aimed at unblocking it
Led by a partner who has taken agents from first RFP to live portfolio monitoring.
AI Governance & Readiness Kit
- 2–3 weeks
- Fixed fee
Usable governance, not a report about governance.
- Policies, risk controls and a human oversight model
- Your AI systems registered against the EU AI Act, high-risk flagged
- Data and access readiness, with a prioritised fix list
Built by a partner who has answered to the FCA for it.
Scale
HR AI Transformation Pack
- 4 weeks
- Fixed fee
AI across the employee lifecycle, done so it survives scrutiny.
- Use cases from recruitment to workforce planning
- Bias testing and human review built into hiring AI
- Skills roadmap, with your EU AI Act obligations mapped
A Chartered FCIPD people director and a regulated-data architect, in the same room.
Adoption & Capability Programme
- Per cohort or quarterly
- Fixed fee
The AI you already bought, in daily use.
- Role-based training on your actual workflows
- An AI champions network, identified and equipped
- Usage and outcomes measured from week one
Run by a people director who landed one platform on 6,000 employees.
Flagship
AI Value Creation Accelerator
- 3–6 months
- Outcome-linked fee
Diagnose, build, adopt, measure — with part of our fee tied to your results.
- Everything in the Scan, then built for real
- Adoption runs alongside the build from day one
- Phased — stop at the end of any phase
The method both partners used in-house, where they lived with the results.
Stay
Fractional AI & Data Leadership
- 1–3 days a week
- Monthly retainer
A senior AI and data leader in the room, without the permanent hire.
- Strategy owned, with board-level reporting
- Vendor selection run; governance forum chaired
- Your internal team built and coached
Partners who have held these seats — not just advised them.
How we price
Every package is scoped and priced before it starts: a fixed fee against a defined deliverable, not an open-ended day rate. Ongoing work runs as a monthly retainer. On the Accelerator, a defined portion of our fee is tied to the adoption and value measures we agree with you at the outset, because we would rather be paid for the result than for the effort.
Get in touch
Tell us where AI is stuck in your organisation, or ask for an AI Opportunity Scan and we’ll show you where to start. Or email hello@datagaia.io.