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Strategy / Execution / Results

Responsible AI Readiness

Get your AI product through your customer's AI governance gate. Your enterprise deal is stuck behind a Responsible AI assessment, a security questionnaire, or a procurement review. Your customer's procurement and legal teams will not approve any AI purchase until someone can sign that it is safe to use. I give them what they need to sign, so the deal proceeds.

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Blocker

01 · The blocker

The deal did not stall on price or product

You have the AI capability. The buyer wants it. Then their procurement and assessment teams ask for evidence: how the business is governed, how data is handled, how risk is classified, how suppliers are overseen, where a human stays in the loop, and what happens when something goes wrong. Dozens of questions, all needing answers in frameworks they recognise. Your engineers can answer for the product. They cannot yet show that the organisation behind it stands up to scrutiny. So the deal sits, and the longer it sits, the colder it gets.

Your customer is not stalling on your product. They are stuck at their own AI governance gate. The signal is not in the product. It is in the pipeline.

Deliverables

02 · What you get

A complete, internally consistent governance set.

Structured so the buyer's reviewers can validate it directly against their own frameworks, without sending it back for rework.

Assessment response

A complete response covering every domain the buyer requires.

AI model inventory

Mapped against EU AI Act risk tiering and the buyer's own classification framework.

AI risk register

Covering your specific AI footprint, with named owners and treatment positions.

ISO 42001 readiness plan

The gap to certifiable conformance, with sequenced remediation steps.

EU AI Act mapping

Applicability, obligations, and timelines for your footprint.

Governance positions

Data lineage, evaluation methodology, incident response, human oversight, supplier AI governance.

Method

03 · How it works

Three phases. External load falls as your capability rises.

01

Translate

Produce the governance documentation set the immediate assessment requires. Bridge engineering input and the standards the buyer's teams validate against.

OutputAssessment-ready response
OwnershipSER to buyer
CadenceTime-boxed sprint
02

Template

Convert the Phase 1 artefacts into reusable frameworks your team can populate on future enterprise opportunities. The next assessment becomes a population exercise, not a translation one.

OutputReusable artefact suite
OwnershipHandover to you
CadenceCloses the engagement
03

Oversee

A bounded advisory layer for review and judgement on subsequent governance work. Sized in hours per quarter rather than days per month. Available, not assumed.

OutputOn-call senior judgement
OwnershipYou retain control
CadenceHours per quarter
Terms

04 · Price and terms

Fixed scope. Fixed fee. One outcome.

Responsible AI Readiness

£12,500

Fixed fee, agreed up front. Around three weeks, fixed scope.

Stay Deal-Ready retainer

£5,000

Per month. Ongoing readiness for the next deal and the next change in the rules. Most clients move to this once the first deal lands.

The guarantee

Every question in your buyer's assessment gets a complete, documented answer mapped to the relevant framework, delivered by the date we agree. That is within my control, so that is what I stand behind. Where the plan needs work inside your own business, such as staff training or a policy your team must adopt, I flag it clearly and it remains yours to complete. I guarantee the work I deliver.

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Fit

05 · Who this is for

If you recognise these patterns, we should talk.

Deals that should close are stalling at procurement.

Responsible AI assessments come back with questions your engineering team cannot answer in governance language.

Reviewers on the buyer side are being asked to interpret your documentation rather than validate it.

Proof

Proof

FEtch cleared the gate and the deal proceeded

The Responsible AI assessment was a significant commercial gate for us. Troy got us through without pulling the engineering team off their roadmap, and left us with documentation that forms the basis for our own AI governance and sets us up for the next one.
Alan GilesChief Executive Officer, FEtch
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