For a solo GP, the useful AI tool is the one that removes a recurring bottleneck without creating a larger checking job. Producing more summaries is of limited value if the investor still has to reconstruct every important claim from the source documents.
Begin with a week of work, not a catalogue of products. Record where time goes and which tasks leave an output another person can inspect. Those are usually easier starting points than asking software to make an investment judgement.
Key takeaways
- Choose tools around recurring tasks, then test them on a case whose evidence and answers you already understand.
- Preserve sources, check calculations separately and review permissions before connecting confidential files.
- Measure time saved after checking and correcting the output. Investment judgement and authority over actions still need a named owner.
Match the tool to the task
| Task | Useful tool capability | Evidence the output should retain |
|---|---|---|
| Read a data room | Questions answered from selected documents | Document name, date and supporting passage |
| Review inbound opportunities | Extract fields into a fixed screening format | Original founder statement and missing fields |
| Prepare a memo | Assemble verified findings into a house structure | Facts separated from assumptions and judgement |
| Maintain relationship records | Draft updates from approved notes | Source interaction and proposed record change |
| Prepare investor communication | Compare the current report with prior versions | Changed figures, explanations and unresolved items |
Source-based notebook tools are one option for document work. Google's notebook source documentation describes answering questions using imported material. An assistant integrated with office files may suit a different workflow. Evaluate the current product and account terms against your documents and permissions; these are capabilities to test, not a ranking of investment tools.
Test on a deal you already understand
Use a completed or fictional case with known answers. Include a revised forecast, an older deck and two documents that use different revenue definitions. Ask the tool to explain the discrepancy and identify which number belongs in the memo.
A suitable output might say: “The March deck reports £1.2m of annual recurring revenue. The April finance file reports £900,000 of contracted recurring revenue. The definitions differ; confirmation is required.” An unsuitable output quietly chooses one figure or averages them.
Test missing evidence too. If no document establishes customer renewal, the answer should preserve that gap. A confident paragraph about strong retention is worse than an explicit unanswered question.
NIST's generative AI risk profile identifies confident factual errors as a material risk and recommends checking sources and citations. A citation is useful only when the linked material supports the claim actually made.
Keep the calculation separate from the prose
Let an assistant help construct a cap table or return model, then verify the arithmetic and assumptions in a spreadsheet or other deterministic calculation. Retain a small set of known cases: a loss, a simple profitable exit and a case with dilution or preferences.
The model should show inputs such as investment amount, ownership, costs and distributions explicitly. A polished explanation cannot compensate for treating enterprise value as distributable equity or committed capital as paid-in capital.
For the investment memo, use three labels internally: verified fact, management claim and investor judgement. That separation makes review quicker and preserves accountability for the conclusion.
Give tools narrow access and authority
Check whether the service may receive the information under the company's confidentiality arrangements. Review retention, use of submitted data, sharing settings and the practical ability to remove access.
Existing file permissions deserve inspection before connecting an assistant. Microsoft's Copilot governance guidance specifically addresses excessive access and oversharing. Software searching a permission system can make an old access mistake much easier to discover.
Start with reading and drafting. Require review before changing a shared record, contacting a founder or sending an LP update. Payment instructions, contractual commitments and investment decisions need authority that is explicit and appropriate to the arrangement.
Measure reviewed output, not generated output
Suppose a memo previously required three hours. The new workflow takes 20 minutes to prepare inputs, ten minutes to generate a draft and 100 minutes to check and finish it. The saving is 50 minutes, not two hours and 50 minutes.
Track corrections as well as time. Repeatedly wrong dates, lost qualifications or unsupported comparisons suggest a task needs a narrower prompt, better input or a different workflow. Also include subscription cost and the time spent maintaining integrations.
After a month, retain the tools that shorten a complete, checked task. The result should be more time for founder conversations, references and decisions that depend on context the documents do not contain.
FAQ
Can a solo GP run fund administration on AI tools alone?
AI can assist with extraction, reconciliations and drafting. It does not supply the legal authority, verified records or accountable people needed to administer a fund. Establish who reviews the accounts, approves payments, meets reporting obligations and handles exceptions before choosing software to support that work.
Which AI tools justify their cost on a small fund?
Start with a frequent task whose completed output you can check. Compare the subscription and setup cost with time saved after review, corrections and maintenance. A tool that drafts a memo quickly but takes longer to verify has not improved the economics of that task.
What should a GP tell LPs about AI use in diligence?
Explain which work uses AI, what information it receives and how material findings are verified. Distinguish drafting assistance from investment judgement. A documented review process gives LPs something concrete to assess; a general claim that the fund is “AI-powered” does not.
Do UK and US structures require different AI tools?
The structure changes the documents, reporting and controls that the workflow must support. It does not, by itself, dictate a particular AI product. Test the tool on the relevant materials and preserve the permissions and confidentiality arrangements that apply to them.
