4d → 18 min
Decision time
+2.1×
Disbursal volume
1.4%
NPA rate (industry best)
240k
Loans live, year 1
Client
Leading Indian NBFC
Sector
Banking & Financial Services
Duration
11 months
Team
36 specialists
01 · The challenge

Problem

SME lending was paper-heavy and decision time averaged 4 days. NPAs were rising on adverse-selection cohorts. Competition from fintech was eroding share.

02 · How we delivered

Solution

Mobile-first origination journey, alternative-data underwriting, regulator-aligned model risk, real-time disbursal. RBI-aligned audit trail end-to-end.

03 · Outcome

Impact

Decision time from 4 days to 18 minutes. Disbursal volume +2.1×. NPA rate at industry-best 1.4%. 240k loans live in year one.

How we delivered

Programme phases.

Five phases. One accountable team. Every phase had a named decision point and a measurable outcome.

Discovery & alignment

2–3 weeks

Workshops with the Leading Indian NBFC executive team, baseline metrics, target outcome tree, programme governance set up.

Design & architecture

4–6 weeks

Reference architecture, security blueprint, joint squad model agreed. Data model and integration contracts published.

Build & live-parallel

Q2 onwards

Vertical slice built and run live-parallel against the existing system. Continuous integration, daily deploys, weekly business demos.

Cutover & scale

Mid-programme

Phased cutover, audit-aligned reconciliation, scaling out of squads, capability transfer to Leading Indian NBFC teams.

Run & continuous improve

Steady state

Managed run with named SLOs, quarterly value reviews, and a 15% optimisation budget reserved for improvement work.

Engineering view

Architecture overview.

Foundations

Cloud landing zone, identity, network, security baseline. Data fabric with lineage-by-default. Audit-grade observability stack from day one.

Application & integration

Domain-aligned microservices behind a published API surface. Event-driven core with CDC into the data fabric. Live-parallel capability built in, not bolted on.

Trust & governance

RBAC, audit logs, lineage, policy-as-code. Model risk records for every production model. Compliance posture on the executive dashboard, not in a quarterly slide.

Built on

Technology stack.

Production-grade choices, defended by track record. The stack is one engineering decision among many — but a load-bearing one.

AWS Pega Camunda PostgreSQL Tecton Anthropic Claude
Trust by design

Governance & assurance.

01

Programme assurance

Independent assurance reviews at each phase gate. Findings tracked in a single risk register with named owners and remediation deadlines.

02

Security & data

ISO 27001, SOC 2 Type II controls applied throughout. Data lineage captured by default; sensitive data tokenised at the edge.

03

Model risk management

SR 11-7-aligned model risk record per production model. Audit-trail evidencing model behaviour against benchmarks at the decision level.

04

Regulator engagement

Quarterly briefings to the regulator with reproducible explainability artefacts. First-attempt acceptance is the default expectation.

A platform that taught us how to lend faster — without lending recklessly.

H Head of Credit · Leading Indian NBFC

What we learnt

Three things we would do again.

  1. 01

    11 months from kickoff to first regulated outcome — squad density and decision velocity matter more than headcount.

  2. 02

    Joint squads with Leading Indian NBFC engineers stayed in place after go-live. Ownership did not transfer in a hand-off — it grew in place.

  3. 03

    Live-parallel for a meaningful window before cutover bought us trust. The cutover itself was a flag flip, not a war room.

Book the partner

Want a programme like this one?

Tell us your sector and your timeline. A senior partner with sector experience will respond within one business day.