Sector
Financial services
Claims files and policy wordings, transaction and exposure data beside them, where a measured error rate is the condition of deployment rather than a refinement.

Where it sits
The corpora that matter here.
Claims correspondence and medical reports
Specialist language, inconsistent structure, and the hardest document family in most insurers' estates.
Policy wordings and endorsements
Precision matters at clause level, and the endorsement that changes everything is filed separately from the policy.
Suitability and advice files
Consumer Duty requires demonstrating that a decision was supported by evidence actually present in the file.
Complaints and quality assurance
A rich signal about systemic failure, almost always analysed by sampling because reading it all is infeasible by hand.
Challenges
What actually goes wrong.
Not the sector's problems in general, the specific failure modes that decide whether a system in this sector survives contact with production.
Silent degradation
A model update changes behaviour and nobody can say whether accuracy moved with it. Without a regression suite, the first signal is a complaint.
Aggregate scores hiding a failing family
Acceptable mean performance frequently conceals one document family performing far below it, usually the specialist one.
Vendor benchmarks
A public benchmark figure bears no relationship to consultant-authored medical reports. Measurement has to happen on your corpus.
Prompt injection through documents
Submitted PDFs are untrusted input. Instruction-like text inside a claim document is a live attack surface, not a theoretical one.
Reference data that drifts quietly
Instrument, counterparty and product hierarchies change without notice from the team that owns them. A load that accepts the new shape silently is how a wrong figure reaches a regulatory return.
Returns nobody can trace back
A number in a submitted return moves and nobody can say which upstream load moved it. Lineage from the return to the source record turns a fortnight of investigation into an afternoon.
Constraints
What shapes the architecture before a line is written.
Consumer Duty evidence
Customer-affecting decisions need a documented basis, and the limitations of any supporting system need to be understood by the people relying on it.
Segregation between claims and roles
Boundaries must hold against indirect questions as well as direct ones. Inference attacks belong in the test suite.
Model risk governance
A change to a model is a governed release. Blue-green index builds and CI thresholds make that routine rather than exceptional.
Engagement
How this looks in practice.

Financial services
Putting a measured error rate behind claims-evidence retrieval at a specialist insurer
An evaluation harness, adversarial suite and assurance pack retrofitted to a retrieval system already in production, so the firm could state its error rate rather than describe its intentions.
UK specialist insurer, ~1,200 staff · 12 weeks
Read the engagementServices that apply here
Start here
Talk to us about financial services.
Describe the estate and the decision it should be supporting. We will tell you which parts are tractable now, which need remediation first, and which we would advise against.
- Prefer email
- hello@vectisflow.com
- Response time
- One working day, from a person who has read it.