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AI strategy builtfor investmentmanagement

Mid-market investment firms don’t need a hundred AI tools. They need one senior person who knows which three matter — and a team that can deliver them.

Three things keeping the C-suite
up at night

We're exposed.

Analysts are sending MNPI and client data to external AI APIs every day. One prompt is the difference between a workflow and a Rule 10b-5 violation.

We're falling behind.

Competitors are deploying AI. The board is asking questions. LPs are noticing. Nobody at the firm has a clear answer.

We have no one to lead it.

That's the root cause. Without someone who owns AI strategy, the other two problems don't get solved — they get worse.

From compliance coverage
to a compounding AI edge

Week 1–2

The compliance floor

Compliance coverage is live in days. 100% of AI usage at the firm is monitored. The CAIO has firm-wide visibility from Day 1.

Month 1–3

Embedded with the C-suite

Your fractional CAIO joins the table — not as a vendor, as a senior partner. Strategy from your data, not a template.

Month 3–6

AI strategy built on your data

Three or four use cases with real lift — scoped, delivered, and measured against actual firm metrics.

Ongoing

ROI documented and compounding

Every sprint closes with a documented return. The board question gets answered.

The only engagement
that fixes the structural problem

Embedded, not on rotation

Your fractional CAIO stays — learns the portfolio, the people, and the firm's real risk tolerance. Strategy built on your data, not recycled frameworks.

vs. Big consultancy — A different analyst every quarter. Templates, not strategy. Billed by the deck.

Senior talent, without the headcount

A Cleravant engagement starts in weeks and scales to the firm's actual pace. The expertise without the organizational overhead.

vs. Full-time hire — $400k+ comp, a 6-month search, and 3 months before they're useful.

Strategy backed by a delivery team

The CAIO is backed by engineers and domain specialists who ship the work. Every use case closes with delivered software and documented ROI.

vs. Freelancers — Good advice, no execution. No team behind it, no accountable delivery.

You don’t have an AI tools problem.You have an AI leadership problem.

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