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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 consultancyA 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. FreelancersGood 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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