For AI operating partners and fund-level leaders

AI governance for PE portfolios

A four-pillar framework that scales across portcos, separates fund-level standards from portco-local execution, and produces the audit trail your IC and your auditors will both ask for.

Most PE portfolios run AI without a formal data classification framework. Vendor approvals happen ad hoc. Model risk and accuracy benchmarks are inconsistent across portcos. Audit trails are incomplete. The pattern works until it doesn't, and the failure mode is usually a portco that disclosed sensitive data to an AI vendor without retention controls or shipped a forecast that was hallucinated rather than calculated. The framework below addresses all four gaps with a structure that scales from one portco to thirty.

Schedule a governance scoping call See the Governance Pack engagement

The four-pillar framework

Four pillars cover the AI governance surface area

The framework was built for PE specifically; the pillars exist in enterprise governance literature but the calibration for portcos and the portfolio-vs-portco split is different.

Data classification

A tiered framework matching security requirements to actual data sensitivity. Public, internal, confidential, restricted. For each tier, a defined set of permissible AI vendor patterns. Tier 1 (restricted) data: zero-retention API access only, private model instances where available, no use of data for model training, full audit logging on every query. The framework is documented once at the fund level. Each portco applies it with portco-specific data classifications.

Vendor approval

A cross-functional committee at the fund level reviews AI vendor approvals, monitors usage, addresses incidents, and updates standards. Portcos request additions to the approved-vendor list rather than negotiating individual vendor relationships from scratch. The fund maintains contract-level terms (DPAs, retention controls, audit access) that travel across portcos automatically.

Model risk and accuracy

Documented accuracy benchmarks per use case. Hallucination tolerance defined by use case (very low for any output that touches financial reporting; higher for ideation work). Human-in-the-loop requirements for sensitive workstreams. Each shipped AI capability carries an accuracy SLA, a defined failure mode, and a human review cadence.

Audit trails and incident response

Logging on every AI query that touches material data. Version control on prompts and outputs. Defined incident response playbook for AI-driven errors. Quarterly review of incidents at the portco level, annual review at the fund level. This pillar protects the QofE at exit. The next owner of the portco can verify what AI did and did not contribute to the financial record.

Portfolio-wide vs. portco-local

Who owns what

The split between fund-level and portco-level governance work is straightforward once it is named.

Fund level (defined once, applied across portcos)

Data classification taxonomy
Approved-vendor list and master service agreements
Model risk standards and accuracy benchmarks
Incident response playbook and escalation paths
Quarterly governance dashboard reporting

Portco level (calibrated locally, reports up)

Application of the data classification framework to portco data
Day-to-day vendor usage within approved limits
Use-case-specific accuracy tracking
Local incident logging and first-response
Training of portco team on policy

The fund-level work happens once. The portco-level work happens on every engaged company. Adding a portco to the program does not require redesigning the framework.

The 90-day governance rollout

Structured 90-day cadence inside an engaged portco

Phase 01
Days 1 to 30: Discovery and classification
Inventory current AI usage. Classify portco data against the fund standard. Identify gaps where current usage exceeds approved boundaries.
Phase 02
Days 31 to 60: Policy and tooling
Apply approved-vendor list. Migrate any unapproved AI usage to compliant alternatives. Set up audit logging.
Phase 03
Days 61 to 90: Training and dashboard
Train the team on policy. Stand up the portco-level governance dashboard. Hand off to portco compliance owner.

The 90-day cadence runs in parallel with the AI capability build, not sequenced before it. Governance and capability deploy together; one without the other produces either unusable controls or risky shipping.

How this connects to engagements

Two ways to deploy the framework

The four-pillar framework is the structural backbone of the RoboCFO Governance Pack engagement. Funds and portcos hire the Governance Pack to deploy the framework end-to-end. The engagement covers documentation, vendor evaluation, policy authoring, dashboard standup, and team training.

For portcos that need only the policy document and not the full deployment, the existing AI Governance Policy Generator is a $199 productized tool that produces a policy document from a structured intake. It is the same framework, scoped down to a self-serve product.

Operating partner dashboard

Single fund-level view of portfolio-wide governance

The fund-level governance dashboard rolls up portfolio-wide visibility. The OP gets a single view across all engaged portcos covering:

Vendor approval status per portco
Active AI use cases per portco with classification tier
Incident counts and severity trends
Audit trail completeness scores
Training and policy adoption rates

The dashboard is the artifact that lets an AI operating partner sponsor the program at the fund level without losing visibility into individual portcos. It also feeds the quarterly partner meeting reporting pack.

Schedule a governance scoping call

A governance scoping call runs 45 minutes. We use it to understand your fund's current AI vendor footprint, the portcos most exposed to model-risk concerns, and the audit committee's appetite for governance investment. By the end of the call you have a recommended sequence and a rough scope range for either fund-level deployment or portco-by-portco rollout.

Schedule a 45-minute governance scoping call Or see the Governance Pack engagement