The reliable spine
The reliable spine is non-AI: the firm's own figures are read deterministically, normal bands and exception rules are computed in code, and every flagged item is routed through a queue with named owners and a logged disposition.
Financial Services & NBFC Back-Office
AML triage and exception / anomaly alerts
Problems are found at month-end, when they are already expensive. Transaction-monitoring systems throw very high false-positive alert volumes, so analysts drown in noise and the real alerts wait. A margin shortfall, a fund mismatch, an unusual position, a customer's repayment slowing, a centre's collection slipping, a cost spike, all surface late, because nobody can watch every number every day.
Who has it
Across all segments, with a different watch in each: broking, wealth and fintech back-offices watch margin, fund and position exceptions; NBFCs and co-operative and small-finance banks run AML and transaction-monitoring triage plus NPA and slippage early warning; microfinance institutions watch portfolio quality across thousands of small accounts.
What we build
Early-warning signals on the firm's own numbers: a figure that moves outside its normal band is flagged and pushed to the right person before it becomes a loss. For AML and transaction monitoring specifically, AI clusters and pre-scores the alert queue so analysts work the real ones first; for broking, it watches margin, funds and positions for same-day exceptions; for lenders, it watches the book for slippage and a slowing account. Every alert is a watch-this signal for a human, never an automatic action.
What is automated, where AI helps, who signs off
Automation for the routine. A person on every decision that matters.
Where AI helps
AI is limited to clustering and pre-scoring the alert and exception queue so analysts see the likeliest real ones first; it surfaces and ranks, it never closes an alert, files a report or moves money.
Who signs off
A named person signs off anything touching money, a customer promise, a regulated filing, a payment, a price, a credit decision or a people decision.
What changes day to day
The firm shifts from monthly post-mortem to same-week warning; analysts work the real AML alerts first instead of the noise; a margin shortfall, a slipping centre or a forming NPA is caught while it is still cheap to act on.
Illustrative outcome
Analyst hours reclaimed by working a triaged queue worst-first, with every disposition and filing still a named officer's accountable act.
Illustrative; final numbers come from your own data.
Path to the build
How this one gets built.
Book a free 60-minute call, then a free Blueprint on the firm's own records. Deep-dive and build, followed by run and govern so the workflow keeps paying back.
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