AI inside the bank, built by people who have run one.
We have run core banking, payments and settlement, treasury, credit, digital banking, cloud and data platforms, and the committees that govern them. We build AI that clears risk, compliance and audit, not just the demo.
Where the hours go in banking
Onboarding & KYC
Document-heavy operationsDocument extraction, screening review, periodic refresh, with every decision traceable.
Credit & lending operations
Decision supportApplication assembly, financial spreading, covenant monitoring, first-draft credit memos.
Collections & servicing
Customer conversations at scaleVoice and chat agents for early-stage collections and servicing, with escalation and full recording.
Operations QC & reconciliation
Quality, control and complianceReview every transaction and exception instead of a sample; report the system's own accuracy.
Compliance & conduct
Quality, control and complianceMonitoring of communications and transactions; drafting of regulatory responses.
Internal operations
Internal operationsIT intake, branch support queries, management reporting.
Things we plan for from the diagnostic, not the go-live.
- Model-risk and AI-governance expectations from the regulator [name: BoT, MAS, etc.] shape what can go to production and how it must be documented.
- Core systems are old, central and shared. Integration is the work; we plan for it from the diagnostic.
- Every automated decision needs an explanation an auditor accepts. We build the trail before the interface.
Our first engagements are in progress. We publish results only with the client's name and permission.
Not in banking? Most of these workflows have a twin in your industry. See the problems we take on
Bring us the workflow that costs you the most.
Tell us what it is, who does it today, and roughly how many hours it takes. We'll come back within a week with a view on whether AI changes it, and how we'd prove it.