Solutions / Transformation
Stop building a Big Bank compliance department.
For small and mid-size financial businesses that cannot spend millions on compliance operations and should not have to: the manual work found, the automation designed, the AI governed, in ninety days rather than nine months.
Who it’s for
For teams drowning in alerts, reviews and spreadsheets.
- A compliance team spending its senior people’s time on work a well-configured system should do.
- A firm adopting AI in operations or customer processes and needing governance a regulator will recognise.
- A financial-crime function asking which parts of AML, fraud and sanctions can safely use AI, and which must not.
What you get
The Studio, in three sprints.
Each package stands alone and each feeds the next.
30-day Automation Scan
Process assessment across onboarding, KYC/CDD, alert handling, case management, regulatory change, QA and management information. Output: where the manual work is, what it costs, and what could be automated safely.
60-day Design
Workflow redesign, vendor selection, the target operating model and the business case, with controls and human oversight designed in rather than bolted on.
90-day Implementation Sprint
Implementation oversight of the first automations, with testing, documentation and the evidence an examiner will ask for.
AI Governance-in-a-Box
Govern the AI you already use.
For regulated companies using AI anywhere in the business. A complete, proportionate governance framework, delivered as documents you can adopt and a structure you can run.
Inventory and classification
Every AI use case in the business, classified by risk and regulatory exposure.
Framework, roles and policies
Governance framework, RACI, policies and human-oversight requirements sized to the firm.
Testing, validation and monitoring
How models are tested before use, validated in use and monitored over time, with the documentation to prove it.
Vendor AI risk and board reporting
Third-party AI assessed the way any critical vendor is, and a board pack that says what is running and how it is controlled.
Financial Crime AI Readiness
Which processes can use AI. Which should not.
Specific to AML, fraud and sanctions. An honest assessment before the first model, so the gains are real and the risks are named.
Use-case selection
Where AI helps (triage, prioritisation, narrative drafting) and where it must stay out of the decision.
Regulatory risk, explainability and human-in-the-loop
What a regulator will ask about a model that touches an alert, and how the answer is designed in.
Data readiness, controls and testing
Whether the data can carry the model, and the controls and test approach that make it defensible.
Business case and roadmap
A sequenced plan from the first safe use to the ones that need more groundwork.
How it runs
How it runs.
Scan
Thirty days inside your processes, with the people who run them. A report with numbers, not adjectives.
Design
The target state, the vendors, the controls and the case for doing it, agreed with management.
Implement
Oversight of the build, testing and documentation for the first automations.
Hand over
Your team runs it; we stay available through the Expert Line.
Taft designs and governs automation; decisions with regulatory consequences remain with accountable people.