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The Readiness Assessment

A 5-day engagement that maps your data, surfaces high-ROI AI candidates, and recommends a pilot — fixed price.

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Case study
Tier-1 bank cuts reconciliation 92%

Agentic reconciliation across 14 source systems — six-week pilot, full rollout in one quarter.

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New
Private AI on dedicated GPUs

Frontier-class models on isolated infrastructure — your data never leaves the perimeter.

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Latest
Field notes: agentic eval at production scale

How we ship and operate eval harnesses for systems running ten-million-plus actions a month.

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Founder
Rohit Wakode — Founder & Director

B.Tech IIT Bombay · LLB GLC Mumbai. Building intelligent enterprise systems in India since 2014.

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Industry · 01

Banking & Finance

Reconciliation at the speed of trade. Treasury intelligence that calls out anomalies before audit. KYC pipelines that do not waste an analyst afternoon.

ReconciliationTreasuryKYC / AMLRegulatory reporting

Banking runs on reconciliation, controls, and trust — and every one of those is now improvable with AI that stays inside your perimeter. We build systems that close faster, flag risk earlier, and never put a regulator off-side.

From agentic reconciliation across source systems to KYC pipelines that don't burn an analyst's afternoon, the work is engineered for audit: every action logged, every model isolated, every decision explainable.

SectorBanks, NBFCs, fintech, capital markets
ComplianceRBI, AML/KYC, audit-ready by design
DeploysIn your data centre or private cloud
Entry6-week pilot, fixed price
01 — What we deploy

AI for the work banks actually do.

/ 01

Agentic reconciliation

Match across core banking, payments, and ledgers; exceptions triaged, not just listed.

/ 02

Treasury intelligence

Cash and liquidity views that flag anomalies before the close.

/ 03

KYC / AML

Document ingest, screening, and case handling that cut analyst time.

/ 04

Regulatory reporting

Automated drafting and validation against the latest formats.

/ 05

Fraud & risk

Real-time anomaly detection on transactions with explainable flags.

/ 06

In-perimeter models

Open-weight models on isolated infra — customer data never leaves.

02 — How we engage

From first call to production.

01

Discovery

02

Pilot

03

Production

04

Operate

STEP 01

Discovery

We audit your reconciliation, KYC, or reporting process and pick the highest-ROI candidate with you.

STEP 02

Pilot

One workflow built end-to-end on your data, behind your firewall, graded against historical cases.

STEP 03

Production

Hardened, integrated with core systems and identity, with full audit logging.

STEP 04

Operate

24/7 SRE or handover with runbooks — your controls team stays in command.

03 — Where it pays

Use cases.

ReconciliationTreasuryKYC / AMLRegulatory reportingTrade opsRisk modeling
04 — Engineering

Stack & standards.

Core systems
Core banking integration
Payments / switch
Ledger & GL
AI
Agentic reconciliation
Anomaly detection
Document AI
Compliance
RBI guidance
AML / KYC
Audit trail
Model isolation
05 — Outcomes

What good looks like.

Faster
Month-end close
Reconciliation that takes days, not weeks.
Fewer
Exceptions
Agents resolve the routine; people handle the rest.
Audit-ready
Every action traced
Full lineage for internal audit and regulators.
06 — Questions

Answers, before you ask.

Will customer data leave our environment?
No. We deploy open-weight models inside your data centre or private cloud, with isolation and audit logging. Data never crosses your boundary.
How do you handle RBI / audit expectations?
Every action is logged with full lineage and the architecture is zero-trust by default, so reconciliation and reporting are explainable and audit-ready.
Where do most banks start?
Usually agentic reconciliation or KYC case handling — contained, high-volume processes where a 6-week pilot proves value fast.
Ready when you are

Let's talk about Banking & Finance.

Start with a fixed-price 5-day Readiness Assessment or a 6-week pilot. Senior engineers, measurable evals, and a system you own on handover.

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