Angel investors
How can an angel identify conflicts around a deal in an AI application startup?
an AI application startup: Identify conflicts by mapping incentives and relationships around the deal.
Identify conflicts by mapping incentives and relationships around the deal. A conflict is not automatically proof of wrongdoing, but undisclosed or poorly managed incentives can change how information should be interpreted. Ask about compensation, ownership, related parties, and competing obligations.
Start with the decision
Record who benefits from a completed investment, who controls information, and where interests may diverge. Review disclosures and ask how the conflict is handled. Use qualified advisers where legal duties or remedies need interpretation.
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 team sells an AI assistant to small support departments. A demonstration works on familiar examples, but the product is still testing performance on new customers' queues. Founder time currently covers many exceptions.
Separate model output from completed customer work. A software revenue claim needs a matching view of model usage, human delivery, customer support, and rework.
Turn the scenario into an evidence decision
Consider a review of an AI application startup 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 permissioned evaluation sample, customer usage cohorts, an exception log, and a cost model that includes human work. Keep actual results distinct from roadmap features. 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. The output should be a specific account of the incentive and the information needed to assess it. Avoid assuming that a disclosure alone removes the practical effect of a conflict. 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.
| Item | Illustration |
|---|---|
| Decision question | Who benefits from closing? |
| Case-specific constraint | Separate model output from completed customer work. A software revenue claim needs a matching view of model usage, human delivery, customer support, and rework. |
| Record to inspect | Request a permissioned evaluation sample, customer usage cohorts, an exception log, and a cost model that includes human work. Keep actual results distinct from roadmap features. |
| Comparison to preserve | Compare the promised workflow with the delivered workflow. The relevant question is whether adoption and delivery economics improve together. |
| Unresolved case question | Who reviews failures? |
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.
- Who benefits from closing?
- What interests are held?
- Which relationships are related?
- What is disclosed?
- How is the conflict managed?
Questions specific to this scenario
- Who reviews failures?
- How much founder work supports each account?
- Which results hold on unseen examples?
Request a permissioned evaluation sample, customer usage cohorts, an exception log, and a cost model that includes human work. Keep actual results distinct from roadmap features.
A concrete next test
Observe a permissioned workflow where the assistant fails or needs founder intervention. Record the human time and what the customer sees. Compare that case with the demo so the diligence discussion addresses delivered work rather than only the best familiar example.
Interpret the result
The output should be a specific account of the incentive and the information needed to assess it. Avoid assuming that a disclosure alone removes the practical effect of a conflict.
Compare the promised workflow with the delivered workflow. The relevant question is whether adoption and delivery economics improve together.
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.