Founders
How to explain the defensibility of AI workflow automation without a vague moat slide
AI workflow automation: Explain defensibility as a mechanism that can be investigated.
Explain defensibility as a mechanism that can be investigated. Distribution access, workflow integration, accumulated feedback, and switching effort may matter, but each needs evidence. A slide labeled moat does not establish durability.
Start with the decision
Choose a specific advantage hypothesis and list what would support or weaken it. Compare the customer's alternative and the competitor's likely response. Distinguish current evidence from a benefit the company hopes to build later.
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 product routes purchase requests through a small operations team. A requester supplies context, a budget owner approves spending, and an administrator maintains the workflow. Exceptions are common enough to affect adoption.
Automating a step can move work to the exception queue rather than remove it. Keep proposed actions, approvals, and completed actions separate in the event history.
Turn the scenario into an evidence decision
Consider a review of AI workflow automation 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. Inspect request histories, approval timestamps, exception reasons, manual overrides, and changes in process ownership. Include requests that stalled or were withdrawn. 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 strongest explanation also names its limits. A useful investor discussion can start with a narrow demonstrated advantage while leaving long-term durability open, rather than claiming the business cannot be copied. 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 | What mechanism creates the advantage? |
| Case-specific constraint | Automating a step can move work to the exception queue rather than remove it. Keep proposed actions, approvals, and completed actions separate in the event history. |
| Record to inspect | Inspect request histories, approval timestamps, exception reasons, manual overrides, and changes in process ownership. Include requests that stalled or were withdrawn. |
| Comparison to preserve | Compare the full request-to-decision process with the current system. A faster initial classification can hide a slower approval or correction stage. |
| Unresolved case question | Who approves a purchase? |
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.
- What mechanism creates the advantage?
- What evidence supports it?
- What could erode it?
- Why would a customer stay?
- What is still a future assumption?
Questions specific to this scenario
- Who approves a purchase?
- Which exceptions stop the workflow?
- How are manual overrides recorded?
Inspect request histories, approval timestamps, exception reasons, manual overrides, and changes in process ownership. Include requests that stalled or were withdrawn.
A concrete next test
Follow one request that passes normally and one that needs an exception. Ask the requester, approver, and administrator what each can see and change. Record whether automation removes work or increases the burden on the person managing stalled requests.
Interpret the result
The strongest explanation also names its limits. A useful investor discussion can start with a narrow demonstrated advantage while leaving long-term durability open, rather than claiming the business cannot be copied.
Compare the full request-to-decision process with the current system. A faster initial classification can hide a slower approval or correction stage.
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.