AI Enablement & Implementation · Private Equity

AI implementation for firms where judgment is the product.

We train entire investment teams on AI, then build AI systems on the workflows that matter.

The technology underneath this work changes weekly: new models, new tools, shifting best practice. Most firms train once and fall behind quietly. Solven's programmes are monthly because the frontier is weekly — your team, analyst to partner, stays current as the market moves.

Four practices, four entry points into the firm.

Each maps to a different seat at the table, and each is designed to sharpen judgment rather than substitute for it.

01 Deal team

Diligence & deal flow

First-pass diligence, question banks, comparables, data room synthesis, and sourcing screens — defensible at investment committee.

02 Portfolio team

Portfolio operations

Board packs, quarterly reports, KPI monitoring, and variance flagging that scale with the portfolio, not the headcount.

03 CFO & IR

Investor relations & compliance

LP letters, capital call narratives, and SFDR / CSRD / ESG workflows, at the cadence investors expect and with the audit trail intact.

04 Managing partner

Knowledge & methodology

Institutional memory, workflow playbooks, and analyst training in the AI-as-adversary methodology that holds under pressure.

AI Diligence

Find out whether the AI is real.

When a target or a founder claims to be “AI-powered,” we give the fund a defensible read on what is genuine capability and what is marketing jargon, before the term sheet.

The pitch

  • “Proprietary AI engine.”
  • “AI-native from day one.”
  • “Our models are the moat.”
  • “The workflow is fully automated.”

What we surface

  • The stack behind the story: built in-house, or a thin wrapper on a model anyone can rent.
  • Whether the data and models are genuinely defensible, or commodity dressed up as a moat.
  • Whether the team can ship what they claim, at the velocity they claim.
  • Where AI actually touches the P&L, and where it is theatre for the raise.

The deliverable: a clear read for the investment committee — what is real, what is veneer, and what it changes about the price.

Token Economics

Make every token earn its place.

Most firms find their compute budget is gone by March. We show you where the tokens went, what they returned, and how to make the year's budget last the year.

01

Usage analytics

A clear read on where tokens go — by team, workflow, model, and prompt — so the spend that was invisible becomes legible.

02

ROI analytics

What each token actually returns. Cost measured per outcome, not per call, so you can see which workflows earn their keep and which don't.

03

Efficiency

Right-sized models, prompt caching, and tighter context — the same output for a fraction of the spend, without dropping quality.

04

Budget pacing

Forecasts and guardrails that keep consumption tracking the year, so there are no surprises and no scramble in the fourth quarter.

The deliverable: a token P&L the partners can read — what each workflow costs, what it earns, and the changes that stretch the same budget across the whole year.

The currency argument

The frontier moves weekly. We keep your team on it.

A firm that trained its team six months ago is already operating on stale knowledge.

New models, new tools, new capabilities, shifting best practice — the ground under this work shifts on a weekly cadence. Our programmes are monthly precisely because the technology is weekly. Every person in the firm stays fluent with the frontier as it moves, without anyone having to track the firehose themselves.

Where we work

Built for private equity, real estate, and venture firms, from Lisbon to London.

Member of the Anthropic Partner Network · Phase 1

Let's tune a programme to your firm's priorities.

A short conversation is the fastest way to see where Claude belongs in your team's work — and where it shouldn't.

Start a conversation

Let's increase some IRR.