McAi

Industry

Financial services

Banks, insurers, asset managers, and payments — where trust is the product.

Where we start

Financial institutions were the first industry to industrialise analytics, which makes them simultaneously the most prepared and the most constrained. Every model change is a supervisory event.

The productive path is not to move faster than the regulator, but to build the evidence infrastructure that makes speed defensible: reproducible decisions, versioned models, and an audit trail that reconstructs why any customer outcome happened.

We work across underwriting, monitoring, servicing, and capital, with a consistent emphasis on shrinking the cost of judgement rather than the cost of paperwork.

Typical results

-38%
false-positive alerts in financial crime
3x
faster model validation with a standard evidence pack
100%
of scaled decisions reproducible from the audit trail

Illustrative client outcomes, representative of engagements in this sector.

Talk to this practice

How we help

Credit and underwriting

Thin-file and small-business pricing that widens access while keeping loss rates inside appetite.

Financial crime

Alert triage that reduces false positives so analysts spend their time on genuine risk.

Servicing and advice

Assistive and agentic workflows for servicing, with a documented human accountability layer.

Model risk and governance

Model inventories, validation standards, and reporting that hold up to internal audit and supervisors.

Evidence

What this looks like in practice

-38%
false-positive alerts in financial crime
3x
faster model validation with a standard evidence pack
100%
of scaled decisions reproducible from the audit trail

Related insights

Next step

Bring us your financial services problem

A ninety-minute working session is usually enough to agree the baseline, the owner, and the first evidence gate.