AI hackathons for private markets teams
A hosted AI hackathon gives a private equity or private markets team a practical way to find real use cases, build early prototypes and learn by doing. The session is designed around your workflows, your tools and your constraints.
The useful version of an AI hackathon is not a novelty afternoon with toy examples. It is a structured working session where teams pick real tasks, use real materials, build with the approved stack, and leave with prototypes that can become an implementation backlog.
Next Step Ventures designs and hosts AI hackathons for firms that want use-case discovery and training in the same room. The aim is not just to generate ideas. It is to prove which ideas survive contact with the team’s documents, permissions, tools, risk limits and time pressure.
01What the hackathon is designed to answer
- Where can AI save time or improve quality now? Not in theory, but inside the actual work people do each week.
- Which use cases are feasible with the tools already approved? A hackathon designed for tools the team cannot use is a demo, not a discovery process.
- Which workflows need governance before they scale? Sensitive data, citation requirements, audit trail and human review are built into the format.
- Which teams will actually adopt the result? The people building the prototype are the people who own the workflow.
02The format
| Stage | Purpose | Output |
|---|---|---|
| Prep | Audit tools, permissions, participant groups, candidate workflows and constraints before the day. | A realistic set of use-case prompts and team briefs. |
| Opening training | Teach the team how to plan with AI, ground outputs in documents, and work within approved tools. | A shared operating baseline for the session. |
| Use-case selection | Teams choose one workflow they actually own: a report, review, model task, summary, memo or process. | One scoped problem per team. |
| Build sprint | Teams create a working prototype, prompt system, skill, automation or process with live facilitation. | A first version that can be shown, tested and improved. |
| Show and tell | Each team presents the prototype, the blocker, the value and the governance questions. | A prioritised backlog for follow-up implementation. |
03Good hackathon use cases
The best candidates are repetitive enough to matter, specific enough to prototype in a session, and close enough to the team’s current workflow that adoption is plausible.
- IC question preparation from deal documents and expert-call transcripts.
- Data-room or CIM interrogation with cited answers and “Not Found” behaviour.
- Pipeline update drafting from notes, CRM exports and email threads.
- LP or investor response drafting using approved source material.
- Portfolio reporting summaries and board-pack preparation.
- Internal AI policy Q&A and knowledge-hub search.
04What happens after the day
The follow-through matters. A good AI hackathon should produce a shortlist of workflows worth hardening, not a pile of abandoned prototypes. The next step is usually a short implementation sprint: clean up the prompt or workflow, add governance, document the process, train the owner group and measure whether it is still being used a few weeks later.
05AI hackathon FAQs
Where can Next Step Ventures host AI hackathons?
Next Step Ventures is based in London and can host AI hackathons for London and UK private markets teams, with remote or hybrid formats available for international firms.
What is the purpose of an AI hackathon?
The purpose is to find real AI use cases, build early prototypes with the team’s own workflows and create a prioritised backlog for implementation.
Who should attend an AI hackathon?
The best groups include the people who own the workflow: investment professionals, operating teams, finance, legal, compliance, portfolio teams and selected AI champions.