How can an LP assess exposure overlap when adding an AI specialist venture fund?

Assess overlap across company, sector, stage, geography, provider, buyer, and financing dependencies. Several fund commitments can lead to repeated exposure to the same companies or market conditions. A vehicle count does not establish independent outcomes.

Start with the decision

Build a look-through map using available reports and clearly mark gaps. Compare the proposed fund's exposures with the existing portfolio. Use hypothetical weights for education and seek individualized advice for an actual allocation decision.

The illustrative scenario

This is an educational workbook. The company or fund and all numerical inputs below are fictional. They are not ADIN results, customer claims, market benchmarks, or a forecast.

The fictional fund focuses on companies applying or enabling AI. Its pitch claims technical sourcing advantages and rapid research. Several holdings depend on similar model providers and enterprise adoption patterns.

Different product names can conceal shared exposure. Distinguish company-level diversity from common dependencies on infrastructure, pricing, distribution, or customer budgets.

Turn the scenario into an evidence decision

Consider a review of an AI specialist venture fund in which a confident explanation arrives before the supporting records. Start with the first question in the table. Write down what an answer would change: the next interview, the experiment's scope, a request for specialist review, or a decision to wait. A question without a consequence can produce a longer document while adding little understanding.

Next, inspect the record named in the table and record its date, owner, permission boundary, and limitations. Request a look-through dependency map, dated technical diligence examples, customer evidence, and a description of human investment authority. AI-generated research needs traceable sources and review responsibilities. If the record contradicts the explanation, preserve both accounts and ask which definition, period, or workflow differs. Do not silently select the version that makes the opportunity look strongest.

Finish with a conditional statement: if the specified evidence supports the claim under these conditions, take the named next step; otherwise investigate the unresolved question. An exposure map can improve a discussion while remaining incomplete because of reporting delays and uncertain future investments. It does not make illiquid assets easy to rebalance or eliminate the risk of loss. This worked exercise is about the decision process. It does not assert that a fictional company has met a real diligence standard or that a template can authorize an investment.

Use this worksheet

Answer the questions with a source, date, owner, and next action. Mark an unknown as unknown. Use public or permissioned information and involve a qualified specialist when a question requires expertise beyond the team’s competence.

1. Which holdings overlap?
2. What dependencies are shared?
3. What data is missing?
4. Which adverse event crosses funds?
5. How does the proposed commitment change exposure?

Questions specific to this scenario

• Which exposures are shared?
• Who checks technical claims?
• What decision changed because of the specialist process?

Request a look-through dependency map, dated technical diligence examples, customer evidence, and a description of human investment authority. AI-generated research needs traceable sources and review responsibilities.

A concrete next test

Map two fictional holdings to their model providers, buyer budgets, and distribution channels. Ask which dependency could affect both at once. Then inspect a permissioned diligence example to see who checked technical claims and who retained the actual investment authority.

Interpret the result

An exposure map can improve a discussion while remaining incomplete because of reporting delays and uncertain future investments. It does not make illiquid assets easy to rebalance or eliminate the risk of loss.

Compare the claimed specialist edge with specific decisions it improved or opportunities it revealed. Do not treat faster document production as proof of investment performance.

Sources and method

These primary resources provide background for the concepts. The fictional scenario, calculations, and worksheet are ADIN educational examples; the sources do not report or validate those invented results. Reviewed October 11, 2026.

• ILPA: Due Diligence Questionnaire user guide
• Investor.gov: Private Equity Funds