Build the change. Prove it is ready for real work.
Trueform works with operational leaders and technology teams to choose the right AI problem, deliver or recover the system, and produce the evidence needed to use it with confidence.
what we do
Three ways we work.
Software Engineering & Testing Efficiency
For engineering and test teams building with AI. We put AI into development and testing together (test strategy, automation and the evidence a release needs), so assurance keeps pace with the build instead of holding it up.
Internal Training Packages
Practical AI capability for your own people, run as an internal programme. Our lead package is Trueform AI Essentials.
For operational work outside software delivery. We find the process where AI would change the result, decide whether it belongs there, and build or recover the change with the evidence to trust it.
technology teams
Development and assurance have to move together.
Building with AI changes development and testing at the same time. Outputs vary, models change underneath the product, and a successful demo is not evidence that the system is ready for real work.
Trueform helps product, engineering, development and test teams define what the system must prove, build that evidence into delivery and rerun it as the system changes.
training
Trueform AI Essentials
A practical AI programme for everyone in the firm, not only the technical team. It starts with a baseline assessment, teaches the foundations every role needs, then adds role-specific routes.
The same assessment is rerun at the end, so you see what changed by topic, not by attendance. The programme owner gets a separate sponsor review covering what a learner quiz cannot reach.
Every engagement follows this path, whether the work is engineering, training or process. Each step is scoped with you and priced in a written proposal.
0a
Readiness Diagnostic
A 30–45 minute conversation about one process, product, system or AI pilot. We identify where AI could help, what would make it unsafe or uneconomic, and whether there is enough value to justify a next step.
30–45 min call
Free
0b
AI Readiness Sprint
A written assessment of the value case, delivery boundary and production risks. The full fee is credited against a Foothold started within 60 days.
1–2 weeks
1
Foothold Engagement
One end-to-end AI-enabled change, with the evidence agreed before the build, something tangible to review and a decision each week.
4–6 weeks
2a
Strategist Retainer
Ongoing access to the same senior after the first proof, including review when models, prompts, tools or permissions change.
Monthly, three-month minimum
2b
Build to the Standard
A bespoke system the client owns, with acceptance evidence, data boundaries, review gates, handover and ongoing care designed in from the start.
Project
2c
Rescue
Triage and recovery for an AI feature, pilot or operational system that is too fragile, unmeasured or unsafe to trust.
Triage + fix
2d
Licence-to-Value
A fixed-fee review of dormant or duplicated AI and software licences, scoped to the size of the estate and aimed at recovering its fee from cancelled spend.
Scoped recovery engagement
Care
Bespoke build care plan
Ongoing care after launch, including maintenance, model changes and rerunning the evidence needed to spot drift.
Annual
what we stand behind
A demo is not proof. We bring the proof.
A working demo shows that an idea is possible. Using it for real needs more: what good looks like, where it fails, what it is allowed to see and do, and when a person steps in.
We agree that up front, whether we are building a system, training a team or changing a process, and we keep it checkable after a model or tool changes.
first step
Bring one concrete question.
A slow process, an AI feature that is hard to trust, a frontier-model bill that is hard to justify, or a pilot blocked at production.