F/AS/T Book a walkthrough
Lending

One set of numbers, head office to branch.

For lenders and NBFCs with branch networks. Portfolio, sourcing, processing and collections — defined once, signed off, and drillable from the board number to the last field unit.

It is where we have gone deepest. A listed Indian lender runs on it today.

Where it breaks

A lender’s numbers break on the way down

Every loan lands in a core system. Nobody trusts the summary.

01

The month starts with building the deck

The review pack is assembled by hand at the start of every month. By the time it reaches the CEO, the numbers are weeks old.

02

Every function counts differently

Sourcing, processing and collections each define a case, a disbursal and a delinquency their own way. The same meeting gets three numbers.

03

Below the region, it goes dark

The national figure is easy. Which branch is dragging it is not — until someone asks for a special cut and waits for it.

04

Every return starts from scratch

Board and regulatory reporting draw on systems with different definitions, so each cycle the numbers are rebuilt and reconciled again.

How we fix it

Three layers, on a lender’s floor

Forward deployed

Definitions first

Our engineers sit with credit, collections and finance. We start with what the numbers mean — portfolio, PAR and delinquency buckets, disbursals, collections — written down, owned and signed off before anything is built.

AI Services

Built for how you lend

The board pack that builds itself. Branch and collections scorecards. Agents that read the same definitions and flag the branches and accounts that need a human. Planning against live actuals.

Tech

The One OS underneath

Your hierarchy in the data — national, zone, region, area, branch, field unit. Every figure drills down it. Read-only connectors to your LOS, LMS and core systems; nothing is migrated.

Case studies

In production

One engagement, told straight. We’ll print outcomes here when they’re measured and the client has signed off — not before.

The client

A listed Indian lender

A national network — zones, regions, areas, branches, and field units below them — with thousands of people between the CEO and the customer. Name shared in conversation with their permission, not on the web.

The problem

Numbers nobody could stand on

Reporting assembled by hand every month. Definitions contested between functions — sourcing, processing, collections each counting differently. Below the regional level, performance was effectively invisible until someone asked for a special cut.

The build

All three letters in one contract

Phase 1: core metrics defined, documented and signed off — portfolio, onboarding and conversion funnels, loan processing, collections — and executive dashboards drillable from the national figure to the last field unit. Phase 2: role-based rollout across the organisation, people and hiring metrics, a review of field tooling. Phase 3: an AI layer over the governed metrics and live business planning.

Where it stands

Live and expanding

In production with leadership today, phased engagement underway. Engineers embedded, definitions holding, and the monthly argument about whose number is right — retired.

How it’s run

Safe for a regulated lender

Hosted in India

Hosted on our cloud in India by default. Or inside your own cloud account, if you would rather hold the keys.

We never write to your books

Connectors are read-only. The One OS reads from your loan systems and never writes back to them.

A branch manager sees the branch

Permissions follow your hierarchy, and every definition change is logged — who, when, and what it was before.

A tenant of your own

Your own database and environment. We don’t train AI models on your data, and you choose which models run.

Bring the number your branches argue about

Collections, PAR, disbursals — pick the one head office and the branches count differently. We’ll show you what settling it looks like: one phase, ninety days, fixed fee.