Answer

What are finance agents for private markets?

Finance agents for private markets are AI systems built around investment workflows, firm knowledge and source evidence. Tacit uses them to help private equity firms, family offices and portfolio companies enrich origination lists, score companies, prepare briefs, draft outreach and preserve firm memory.

Where they fit

Private-market work depends on context that rarely sits in one system: CRM records, call notes, old memos, sector maps, filings, decks and the judgement of people who have seen the pattern before. A useful finance agent connects those inputs to a narrow workflow and keeps the source trail visible.

Where they do not fit

They are not a replacement for investment judgement, regulated advice or a public data terminal. Tacit uses agents for legwork and preparation, with human review where output matters.

Evidence

Evidence notes

Tacit defines finance agents around private-market workflows, not a generic chat surface.

Method
Use one workflow as the unit of design, connect firm context, then ship source-backed output into the client's existing working surfaces.
Source
Tacit homepage, product page and how-it-works page.
Date
4 July 2026
Limitation
The public site explains the model. A client implementation depends on available data, permissions and review requirements.
Owner
Tacit delivery lead

FAQ

Related questions

Are finance agents the same as chatbots?

No. A finance agent is tied to a workflow, evidence layer and review process. A chatbot is usually a general interface.

What private-market workflows can agents support?

Useful workflows include origination enrichment, investment scoring, daily intelligence, stakeholder briefings, outreach drafting and firm memory.

Can agents make investment decisions?

Tacit does not position agents as investment decision-makers. Agents prepare source-backed work; humans keep judgement and sign-off.

Last updated: 4 July 2026

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