ZovraLabs
All case studies

Northwind Capital

Financial ServicesSri Lanka1,200 employees

BuiltAn AI-native relationship platform for investment bankers

A tailor-made, AI-native CRM that cut Northwind Capital's deal cycles by 38%.

We replaced three inherited CRMs with a relationship platform built around how coverage bankers actually work, with AI agents handling research, compliance checks and follow-ups.

Qualified
Orbital Group

$420k

Tessera

$180k

Proposal
Monarch & Co

$910k

Quantis

$260k

Negotiation
Northwind

$1.2M

38%

Shorter deal cycles

11 hrs

Saved per banker, per week

100%

Pre-deal compliance checks automated

01 · The challenge

Why off-the-shelf wasn't going to work

  1. 01

    Coverage bankers were juggling three CRMs inherited through acquisitions, with no shared view of client relationships.

  2. 02

    Pre-deal compliance checks were manual, took up to four days and delayed mandates.

  3. 03

    Off-the-shelf CRMs couldn't model the bank's relationship hierarchies or its compliance workflow.

02 · What we built

An AI-native relationship platform for investment bankers

Part 1

One relationship graph

A custom data model unifying 1.2M contacts across all three legacy systems, with hierarchies bankers recognise.

Part 2

Deal-desk agents

Agents assemble pitch research, run KYC and conflicts checks, and draft follow-ups for banker approval.

Part 3

Governed by design

Every agent action is logged, explainable and reviewable by compliance in real time.

Built onMAAOMT
03 · Results

What changed in production

  • Deal cycles shortened from 94 to 58 days on average.

  • Compliance pre-checks now complete in under 20 minutes.

  • Banker adoption rose from 41% on the old CRMs to 93% within a quarter.

“Zovra Labs built the system we'd been trying to buy for a decade. It works the way our bankers work, and gives every one of them a team of analysts who never sleep.”
Nadeesha PereraCOO, Northwind Capital

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