Financial services

Operationalise AI inside clear lines of accountability.

Turn sponsor and management priorities into locally approved workflows with bounded permissions, review points and evidence of outcomes.

Discuss a portfolio pilot

The operating context

Financial-services businesses need the productivity benefits of AI without losing sight of individual accountability, customer outcomes or the systems where regulated records belong.

Example workflows

Customer onboarding review
File remediation and quality checks
Third-party due diligence
Regulatory evidence preparation

Control patterns

Maker-checker release
Tool and data allowlists
Mandatory exception routing
Run-level audit evidence

Outcome measures

Time to decision
Review coverage
Exception resolution
Cost per case

Policy to proof

A control story that survives the workflow.

Connect the local release, every checkpoint and the measured result in one structured record.

EVIDENCE RECEIPT

CLM-2048 / 0142
Verified
Workflow
Claims review 2.4
Control pack
INS-UK 1.8
Local approval
2 of 2
Human checkpoints
3 passed
Exceptions
1 resolved
Evidence integrity
Matched
Run signature9d2a…c71f

Design-partner programme

Start with two companies and one repeatable workflow.

A 12-week programme to prove control, operational value and second-company reuse.

Discuss a portfolio pilot