Impact Investors AI Circle · By nomination only

Use AI across
your fund.
Deliberately.

A seven-session working group for managing partners and investment directors at impact and emerging market PE funds. We help you govern AI, build working tools, and lead your team from the front.

By nomination · capped at eight funds · no competing funds in the same room

Your team already uses AI.

When we first sit down with a fund, we tend to hear the same story. Analysts are drafting memos. Associates are working through data rooms. Confidential deal information is moving through tools the firm never formally approved. Nobody was careless. The technology moved faster than the way you work could keep up.

Problem 01

No governance at partner level

AI use is informal, inconsistent, and ungoverned. The firm has no policy covering what is permitted, who owns the output, or where the liability sits.

Problem 02

Confidential data in unvetted tools

Deal materials, LP information, and portfolio company data are moving through models hosted in jurisdictions your LPs have not approved and your compliance team has not reviewed.

Problem 03

No shared way of working

Individual team members have figured out their own approaches. There is no common standard, no verified output protocol, and no way to scale what is working.

Problem 04

LP expectations are sharpening

ESG and responsible investment commitments mean how you use AI matters to your LPs, not just whether you use it. Most funds have no answer ready.

A working group.
Not a course.

We built the Impact Investors AI Circle as a working group. The members are curated and no competing funds will be in the same room. Over six-seven weeks we move through the full scope of how your fund operates — from how you run deals to how you report to LPs, monitor the portfolio, and add value to the companies you back. Every session opens with a problem you are probably already sitting with, and ends with something you can use.

7
Sessions, one per week
1hr
Per session at partner level
8
Funds per cohort, maximum
48hr
Feedback loop between sessions
2
Founding cohorts now forming
Cadence
7 weeks · 1 hour per session
Cohort size
8 funds maximum
Between sessions
48-hour feedback loop
Admission
By nomination
Competitive overlap
None permitted
Audience
Managing partners and investment directors
AUM range
$150m to $300m

Built for funds large enough
to need governance, small enough
to have no AI function yet.

The Circle works best where real AI use is already happening but has not yet been shaped into a way of working. That is the gap we close.

A good fit

The right size

Large enough to run a dedicated deal team. Small enough to have no internal AI function and no budget to build one. That is exactly who we built this for.

A good fit

LP sensitive

Your ESG and responsible investment commitments mean how you use AI matters to your LPs. You need an answer, not just a policy document.

A good fit

Real usage already

Your team uses AI informally. The gap is not familiarity. It is the distance between what they do and how you want it done.

Not a fit

The extremes

If your team has no AI exposure at all, you need something more foundational first. If you already run a dedicated AI function, you are past what we do here.

Data sovereignty, addressed directly.

When your team in Lagos, Cairo, or Jakarta loads confidential deal materials into a model hosted in Virginia, there are real questions about jurisdiction, liability, and what you owe your LPs that still have no clean answers. If you invest across Africa, the Middle East, Latin America, or South and Southeast Asia, we raise this directly. Most general AI advisers will not.

Seven sessions.
Each one produces something you can use.

The structure is consistent across cohorts. The worked examples change to reflect the funds in the room, drawing on your geography, your sector, and your LP base.

#
Session
The problem it solves
What you leave with
S1
Deal Lifecycle & AI Landscape
No shared map of where AI is operating in your workflow, which data it is touching, or where the governance gaps are.
Fund AI Tools Inventory. Your tool use mapped across eight deal stages, with data risk classification and governance gap flags.
S2
Governance & Data Policy
AI is being used on confidential deal data with no policy covering what is permitted, who owns the output, or where the liability sits.
Investment Team AI Use Policy plus a tiered data rule: public, sensitive, confidential, deal specific.
S3
LP Reporting & Impact Measurement
Quarterly LP updates and impact reports take days. The data exists. The drafting is manual, inconsistent, and eats partner time.
LP Report Drafting Workflow. A prompt sequence and template for financial narrative, impact metrics, and portfolio updates.
S4
Diligence & Verification
Document volume is the diligence bottleneck, and AI-assisted analysis reaches the IC with no verification layer.
Diligence & Verification Toolkit. A five-step document analysis and three-step IC model audit, with a partner sign-off protocol.
S5
Building Your Fund’s Internal AI Tool
Your team explains the fund to AI from scratch every time. There is no persistent environment that knows your thesis, standards, and boundaries.
Fund AI Tool Configuration Kit. A system prompt, knowledge base, constraints, and testing guide. Ready to deploy in Claude Projects or ChatGPT.
S6
Portfolio Monitoring
Stress signals in portfolio companies surface too late. Early detection requires headcount you do not have.
Portfolio Early Warning Blueprint plus five stress signal definitions calibrated to your portfolio sector mix.
S7*
Portfolio AI Playbook
Portfolio companies ask you for AI support. You want to add value beyond capital, but without adding staff.
Company-specific Opportunity Maps ranked by readiness and impact, plus a Sector AI Transformation Playbook.

* Session 7 runs when the cohort includes funds with live portfolio company demand for AI support. We confirm this through the readiness questionnaire before Session 1.

Full curriculum · gated behind readiness questionnaire

The complete session-by-session breakdown

The business problem behind each session, the AI principle we teach, and how the loop between sessions works. We send it as a download the moment you submit the readiness questionnaire.

Unlock full curriculum →

Seven working assets.
Not course materials.

We explain the thinking behind every tool in the sessions, so your team learns when to use it and when not to. That is what makes it last. You come away understanding the conditions, not just the output.

01

Fund AI Tools Inventory

AI tool use mapped across all eight deal stages, with data risk classification and governance gap flags.

02

Investment Team AI Use Policy

Permitted tools, data classification rules, and liability boundaries, adapted to your jurisdiction.

03

LP Report Drafting Workflow

Prompt sequence and template for financial narrative, impact metrics, and portfolio updates.

04

Diligence & Verification Toolkit

A five-step document analysis and three-step IC model audit, with a partner sign-off protocol.

05

Fund AI Tool Configuration Kit

System prompt, knowledge base structure, and behavioural constraints for a persistent fund AI environment.

06

Portfolio Early Warning Blueprint

Workflow architecture and five stress signal definitions calibrated to your portfolio sector mix.

07*

Portfolio AI Playbook

Company-specific opportunity maps ranked by readiness and impact, plus a sector transformation playbook.

Why it sticks

We explain the thinking behind every tool, so your team learns when to use it and when not to. You come away understanding the conditions, not just the output.

Invitation only. Capped at eight.
No competing funds in the same room.

8
Funds per cohort, maximum
2
Founding cohorts now forming
1
Peer nomination required of each fund

The founding cohorts are forming now. In place of a fee, we ask each fund to nominate one fund manager they know and rate, before the first session. If your nomination is not in by the opening session, the place does not hold. This is how we keep the quality and the trust of the group high. The Circle works because everyone in it was vouched for by someone already in it.

We curate every cohort to avoid competitive overlap. We will not put funds investing in the same geography and sector in the same room. We ask about your investment focus and geography in the questionnaire for exactly this reason. The material itself — how you govern AI and design workflows — is not competitively sensitive. The conversation only works when you can speak openly, so we protect that.

A direct word on what
seven hours covers.

The funds that get the most from us know exactly what they are buying: a strong starting point and a peer group, not a full AI programme. When you want to go further, we are here for that once the Circle ends.

What seven hours delivers
A governance framework established at partner level
Seven working tools your team can run independently
Your team aligned around a common approach
A vetted peer group of fund managers
What it is not
Deep capability building
Team-level training
Custom workflow development
Ongoing AI governance support

FAQ

Will the program work for my fund given our sector focus?
Yes, if your fund is already seeing practical AI use and now needs a way to govern, structure, and apply it across deal work, LP reporting, and portfolio value creation.
What if our team has very different levels of AI experience?
That is normal. The Circle is designed for partners and investment leaders to create a common way of working, not to turn every team member into a technologist.
What is the data sovereignty issue you keep mentioning?
When confidential fund, LP, or portfolio company information is loaded into AI tools hosted in another jurisdiction, questions of liability, permission, and control become real. We address this directly.
What happens to funds nominated but not in the cap?
We hold them for later cohorts and curate the room carefully to avoid competitive overlap by geography and sector.
Is there ongoing support after the sessions?
The Circle is a defined working group. Funds that want deeper support after the sessions can move into a separate advisory or implementation engagement.
How do the founding cohorts work?
The founding cohorts are designed to establish quality, trust, and practical proof. In place of a fee, each participating fund nominates one trusted peer fund manager before the first session.
What is the 48-hour feedback loop?
Between sessions, we review how the working asset landed, answer practical questions, and refine the tool before moving to the next session.

The readiness questionnaire
is the next step.

Before we confirm any place, we send a short readiness questionnaire. It asks where your fund uses AI today, your jurisdiction and investment focus, and whether the timing works for you. It also unlocks the full curriculum for you to read.

Request the readiness questionnaire →