Knowledge Management

Stop Losing Money in Unstructured Data

Custom AI solutions for financial services knowledge management, built for your actual workflows—not a generic SaaS product.

See How It Works

Industry Context

Financial services firms deal with heavy regulation, rising costs, and an aging workforce that takes tribal knowledge with them when they leave. MiFID II, Dodd-Frank, and Basel III require detailed audit trails and fast responses to regulatory inquiries—often pulling from siloed legacy systems. Mergers and remote work have scattered institutional knowledge even further, increasing compliance risk and slowing down client service.

By the Numbers

40%

of analyst time spent finding internal documents

McKinsey Banking Talent, 2024

55%

of institutional knowledge at risk from attrition

Deloitte Financial Services, 2025

35%

faster new hire ramp-up with AI knowledge systems

Accenture Banking, 2024

The Problem

What you're dealing with

A compliance officer spends 3 hours manually reconstructing a client's trade history from emails, spreadsheets, and CRM notes after a regulatory request.

A portfolio manager can't find the rationale behind a legacy investment strategy because the original analyst left—and their notes are buried in SharePoint.

Onboarding a new hire takes 6 weeks because they have to learn undocumented processes from 10 different people.

Trade surveillance alerts go uninvestigated because the context needed to judge intent exists only in old chat logs or voice recordings.

The Solution

How it works

We start by mapping how your team actually works—not how the manuals say they should. Through AI-driven interviews, we capture the real workflows, systems, and friction points your people face daily. Then we build a custom knowledge management system that connects to your existing tools—CRMs, trading platforms, compliance databases—and structures unstructured data like emails, chats, and documents. We build and deploy this with our internal tooling, so you get a working system in weeks. The result is a unified system where your team can find answers fast, automate compliance reporting, and keep institutional knowledge intact—without changing how they work.

Atlas

AI-driven process discovery and workflow mapping to capture how your team actually operates

POI

Connects your existing systems and data sources into a searchable, structured knowledge base

In Practice

Before and after

Before

A client questions an unusual fee on their statement. A support agent spends 45 minutes searching through 4 different systems—billing software, email archives, client notes in Salesforce, and a shared drive—before finding the relevant approval email from 18 months ago.

After

The agent types the client's name and fee detail into a single search bar. The AI system instantly pulls up the approval email, the associated client contract clause, and the internal memo authorizing the fee—all in one view.

1 We integrated your billing system, email archive, Salesforce, and document storage into a unified knowledge graph.
2 We trained a natural language search model on your specific data schemas and terminology.
3 We built a clean interface that lets your team query across all systems at once, with results ranked by relevance.

3 weeks

Average delivery time

From signed agreement to deployed custom knowledge management system for a mid-sized asset manager.

FAQ

Common questions

How do you handle data security and regulatory compliance?

We build on your existing infrastructure where possible—no data leaves your environment unless required. All systems are designed to meet financial industry standards like SOC 2, GDPR, and MiFID II record-keeping requirements.

What if we change our core systems later?

We build for modularity. The knowledge layer sits above your systems, so if you replace your CRM or trading platform, we update the connections—without rebuilding the whole thing.

How is this different from buying a knowledge management SaaS?

SaaS products force you to reshape your processes around their software. We build software that fits your processes. You own the system, and it works exactly how your team needs it to.

What's the typical timeline from start to deployment?

Most projects are live in 3-5 weeks. Discovery takes 3-5 days, build and testing 2-3 weeks, deployment 1-2 days.