Industries 03/05
Banking & Finance.
AI for institutions where every decision must be explained: credit, risk, operations, and the client experience.
An AI that can't be explained is a liability, not an asset.
Banking runs on decisions that must be defended: to the client, to the auditor, to the regulator. That's why most AI in finance stalls at the proof of concept, not because the model underperforms, but because nobody can take it through model risk review.
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We build for the review from the start: reasons attached to every decision, audit trails as a feature rather than an afterthought, and humans in command of anything consequential. AI that clears governance is the only AI that ships in this industry.
FOR EXECUTIVES WHO
answer to the regulator for every model in production.
FOR OPERATIONS WITH
review queues that grow faster than headcount.
FOR RISK TEAMS THAT
need models they can challenge, not black boxes.
01 What we build here
AI that moves risk, cost, and client trust.
Framed on your book's numbers, built inside the core and its surroundings, and run under the eyes of model risk.
01
Credit decisioning support.
Credit assessments assembled and pre-scored with reasons attached, keeping the decision with your people and the file complete.
02
Fraud & AML monitoring.
Detection tuned to cut false positives, so investigators spend their day on genuine alerts instead of clearing noise.
03
Document & KYC automation.
Onboarding and compliance documents read, verified, and reconciled automatically, with exceptions escalated rather than everything.
04
Client service copilots.
Relationship managers and agents answering with the full client picture in front of them, every response grounded and logged.
05
Risk & regulatory reporting.
Reports assembled and reconciled from source systems, with lineage that survives the audit that follows.
06
Operations automation.
Reconciliations, payment exceptions, and trade breaks resolved automatically, with humans on the judgment calls.
02 The numbers we move
Every engagement is measured on operational numbers.
Agreed before the build starts. Tracked in production. Reported without varnish.
False positive rate.
Cost per review.
Time to decision.
Straight-through processing.
Losses prevented.
Findings per audit.
03 Work in this sector
CASE STUDY
A Conversational Agent for Banking Operations.
A knowledge-grounded, citation-first agent that answers employee questions from the bank's approved procedure library, in natural language, at the point of work.
One arc, in your operation.
The same Advise, Build, Run arc, applied to the institution: framed against your book, built inside the core and the systems around it, and run to the standard your model risk team sets rather than around it.
04 Other industries