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One regulated workflow

AI Decision Assurance for FCA-Regulated Firms

A focused review of one AI-supported workflow to test whether human oversight, exception handling, accountability and decision evidence work in practice.

For regulated firms, these questions may be relevant to existing expectations concerning governance, risk management, customer outcomes, accountability and data protection.

Fixed scope. Practical evidence. No source-code or production-system access at the initial stage.

Discuss one process

A 20-minute conversation is enough to identify whether one bounded process merits review.

One decision pathway

  1. 01AI-supported signal
  2. 02Human review
  3. 03Exception / escalation
  4. 04Accountable decision
  5. 05Reconstructible evidence

The practical issue

AI policy and human sign-off do not show what happens inside a real workflow

The practical issue is whether an AI-supported output, objection, complaint or exception reaches a person with enough context, authority and time to act, and whether the firm can later reconstruct what happened.

Could your firm reconstruct who saw a material exception, who could change the outcome, and why the final decision was defensible?

The review

What the review examines

The review focuses on operational characteristics that may be important to the firm's Compliance, Risk, Operations, Internal Audit and senior management functions.

These may include effective human oversight, clear decision rights, exception and escalation handling, accountability, and the ability to reconstruct how a material decision or action occurred.

01

AI entry point

Where AI-generated recommendations, summaries, classifications or alerts enter the business workflow.

02

Human oversight

Whether the responsible person has sufficient context, competence, time and authority to challenge the AI-supported route.

03

Exceptions and escalation

How complaints, overrides, disagreements, low-confidence cases and other material exceptions are identified, routed and resolved.

04

Decision rights and accountability

Who can pause, approve, override, escalate, remediate or record a reasoned decision not to act.

05

Decision evidence

Whether the organisation can reconstruct the path across tools, people, records, approvals and final action.

What you receive

A practical output for one bounded process

The purpose is not to produce another general AI policy. It is to show how control operates in one real workflow and where the organisation may need clearer ownership, stronger routing or better evidence.

  • 01A bounded process and decision-pathway map
  • 02A responsibility, authority and escalation map
  • 03An analysis of exception and override handling
  • 04A decision-evidence and reconstructability gap assessment
  • 05Prioritised 30-, 60- and 90-day improvement actions
  • 06A concise management summary

Initial discussion

What a 20-minute discussion establishes

The initial discussion is used to identify:

  • one bounded AI-supported workflow
  • one material signal or exception class
  • the relevant business, risk, compliance or operations owner
  • the evidence currently available
  • whether a fixed-scope review would be proportionate
Discuss one process

Proportionate by design

Clear boundaries

What it is

  • A structured review of one AI-supported workflow
  • A review of oversight, exceptions, decision rights and evidence
  • A practical diagnostic and improvement roadmap
  • A proportionate starting point for smaller regulated firms

What it is not

  • Not a legal opinion
  • Not a statutory or internal audit
  • Not a certification of compliance
  • Not model validation
  • Not a source-code review
  • Not a full IT or cybersecurity audit
  • Not an enterprise-wide transformation programme

The review supports the firm's own Compliance, Risk, Operations, Internal Audit and senior management functions. It does not replace them.

The review does not determine legal or regulatory compliance. It identifies practical evidence, control gaps and questions for consideration by the firm's own responsible functions and advisers.

Who it is for

Designed for regulated firms with a real workflow to examine

The approach is designed primarily for small and mid-sized FCA-regulated businesses.

  • specialist lenders and consumer-finance firms
  • payments and electronic-money firms
  • wealth, advice and investment businesses
  • insurers, intermediaries and MGAs
  • principal firms and Appointed Representative networks
  • specialist compliance and financial-services consultancies

The most suitable starting points are processes where AI already influences customer communication, complaints, compliance work, credit or fraud review, adviser support, document preparation, case triage or internal decision support.

About the approach

A decision-architecture approach

AI Decision Assurance combines practical UK commercial and data-governance experience with specialist work on human oversight, decision traceability and AI-supported decision architecture.

The method focuses on how an AI-supported signal becomes review, action, escalation, correction or documented non-action. It examines the organisational pathway around the technology rather than treating the model as the only object of control.

The initial review is deliberately bounded so that a firm can examine one material process without beginning with a large transformation programme.

A proportionate starting point

Start with one process

A short discussion can establish whether one AI-supported workflow presents a meaningful oversight, exception-handling or decision-evidence question.

Discuss one process

No source-code or production access is required for the initial discussion.