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AttioCASE STUDY

Relational CRM Build

A venture fund needed a CRM that could model the complex relationships between investors, portfolio companies and deal stages — and update itself. We built it from scratch in Attio.

Investment / Finance3× faster deal updates
ClientVenture Fund
IndustryInvestment Management
PlatformAttio CRM
Timeline5 weeks
RoleCRM Architect
AttioNode.jsWebhooksClearbitSlack
Faster deal updates
100%
Pipeline visibility
−8h
Admin / week
5
Automated enrichments
01

The challenge

The fund was tracking deals in a mix of Notion databases and a spreadsheet. Relationships between LPs, portfolio companies, co-investors and deal stages existed only in people's heads. There was no automated enrichment, no pipeline reporting and no way to see cross-object relationships at a glance.

02

The approach

01

Relationship schema design

Mapped all entities: Companies, People, Deals, Investors, Funds. Designed Attio's object graph to reflect real-world relationships — a deal links to a company, multiple people and a fund, each with typed attributes and bi-directional associations.

02

Automated enrichment pipeline

Wired Clearbit enrichment via Attio webhooks — every new company record auto-fills headcount, funding stage, tech stack and LinkedIn URL within 30 seconds of creation.

03

Stage automations

Built automations that move deals through pipeline stages based on activity triggers: call logged → move to Due Diligence, document signed → move to Portfolio. Each transition notifies the deal lead in Slack.

04

Reporting & views

Set up filtered list views for each partner's active deals, a fund-level pipeline report and a weekly digest automation that emails the GP a snapshot of all deals that moved stages in the past 7 days.

03

The outcome

"

For the first time, I can open the CRM on Monday morning and actually trust what I'm looking at.

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