Fixed-Scope Engagement For FCA-Regulated Firms

Can you prove an AI-assisted financial decision if challenged?

For firms using AI in credit, claims, fraud, advice, arrears, onboarding, or customer-risk workflows.

Find where a customer-impacting AI decision would fail under regulatory, audit, board, or legal scrutiny before you are asked to reconstruct it.

A 5-business-day Veridom diagnostic that tests the evidence you can produce today, pinpoints accountability gaps, and defines what must change for decisions to become independently provable.

Book a 15-minute fit call Request diagnostic details

5 Business Days

FCA-Focused

Senior-Led Readout

No prep-heavy workshop. Confirm scope, workflow, and decision type in one short call.

Designed to test evidence readiness against existing governance, Consumer Duty, audit, and supervisory expectations. This is not legal advice and does not claim FCA approval or endorsement.

Example Finding Page

Credit Decision

Declined credit application: evidence reconstruction test.

A concrete view of what can be proven about one customer-impacting decision and where the current record breaks.

Red The decision cannot be reconstructed end-to-end. Model output, policy basis, customer data snapshot, and final rationale are stored across separate systems with no sealed decision record.

Path Remediation path is clear. Seal the data snapshot, model/prompt output, policy reference, reviewer action, customer communication, and final state change into a tamper-evident audit chain.

Timeline 5 Business Days

Best Fit FCA-Regulated Financial Firms

Delivery Memo, Evidence Map, Exposure View.

Best fit

This diagnostic is for FCA-regulated firms already using, piloting, or approving AI in workflows that can affect customer outcomes, financial access, liability, or regulatory exposure.

Credit eligibility, affordability, pricing, limit, or exception decisions.
Claims triage, fraud/AML alerts, arrears, vulnerability, or customer-risk scoring.
Advice, guidance, chatbot, agent-assist, or escalation workflows where AI shapes the final outcome.

Not a fit

The engagement is intentionally narrow. It is not a broad AI programme review or a substitute for legal, compliance, or model-risk advice.

Generic AI maturity assessment or transformation strategy.
Model performance, fairness, bias, penetration, or vendor audit.
Dashboard build, documentation exercise, or broad compliance checklist.

Regulatory framing: the page is built around the FCA's principles-based AI approach, where existing governance, Consumer Duty, evaluation, monitoring, and risk-management expectations still matter. The diagnostic asks a practical question: if one AI-assisted financial decision were challenged, could your firm produce a coherent evidence chain?

5-Business-Day Process

How the diagnostic runs

One real workflow. One evidence test. A short engagement designed to produce a decision-ready readout rather than another open-ended workshop.

Intake

Confirm the business line, AI use case, decision owner, and customer-impact scenario.

Workflow

Select one consequential decision path and map where AI, rules, data, and human review shape the outcome.

Evidence

Request the minimum artefacts needed to test what can actually be reconstructed today.

Gap Test

Assess whether the decision record supports accountability, escalation, rationale, and audit scrutiny.

Readout

Deliver the written findings, exposure view, remediation backlog, and executive walkthrough.

What we need from you: a named workflow owner, one target decision journey, available policy/process notes, sample decision artefacts, and a short session with the relevant risk, product, operations, or compliance lead.

Deliverables

What you receive

Outputs are written for executives and implementation owners: specific enough to act on, concise enough to use in governance discussions.

[01] Board-Ready Diagnostic Memo

A concise assessment of the selected AI-assisted decision, current evidence posture, exposure points, and recommended priorities.

[02] Decision Evidence Map

A practical map of the data, model or prompt output, policy basis, human review, customer communication, and final decision record.

[03] Red / Amber / Green Exposure View

A clear view of which parts of the decision chain are defensible, weakly evidenced, or likely to fail under scrutiny.

[04] Remediation Backlog

A short, prioritised list of capture, governance, workflow, and accountability changes needed to make the decision provable.

[05] 60-Minute Executive Readout

A senior-led walkthrough of findings, implications, immediate fixes, and the path to a stronger evidence infrastructure.

What makes this different

This is not an abstract AI governance conversation. It starts with one real financial decision and tests whether the current organisation can prove what happened, why it happened, who was accountable, and what evidence would survive challenge.

Decision reconstruction Evidence chain Consumer impact Human accountability Remediation path

Where is AI influencing a customer-impacting financial decision?

What evidence exists today for the inputs, rationale, review, and final outcome?

What must change for that decision to become independently provable?

Next Step

Book a 15-minute fit call

Use the call to confirm the workflow, decision type, available evidence, and whether the 5-day diagnostic is the right fit.

Book a 15-minute fit call Request diagnostic details