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AI services for private markets

Practical AI consulting, foundations, literacy, training, hackathons and implementation for investment firms that need useful work to survive real data, governance and adoption constraints.

// Flagship engagementIf the immediate question is which workflow is worth backing, start with the Private Markets AI Proof Sprint: one recurring workflow, a working proof and a clear go/no-go implementation case, typically over four weeks.

Private-markets firms do not need a disconnected collection of AI demos. They need a route from initial readiness through team capability, use-case selection, implementation and adoption. Next Step Ventures supports that whole route, while allowing a firm to start with one focused session if that is the right level of commitment.

The work is designed for private equity, private credit, investment management, asset management, infrastructure investing, hedge funds and the operating functions around them. It starts with the tools, permissions, data and workflows the firm actually has—not an idealised technology stack.

Based in London, Next Step Ventures works with private-markets firms globally, including clients in New York and San Francisco. Engagements can be delivered on site, remotely or in a hybrid format.

01Choose the problem you need to solve

NeedBest starting pointPractical outcome
Decide whether one workflow deserves investmentPrivate Markets AI Proof SprintA working proof, validation evidence and a go, revise or stop decision.
Establish direction, guardrails and ownershipAI foundations programmeA clear operating baseline, opportunity map and implementation roadmap.
Build confident, consistent team capabilityAI literacy and trainingRole-relevant skills, safe working habits and reusable ways of working.
Find and prototype the best opportunitiesAI hackathon and use-case discoveryA ranked backlog, working prototypes and owned next actions.
Turn a defined workflow into a reliable toolAI implementationA tested workflow with controls, human review, ownership and sign-off.
Shape an end-to-end programmeAI consultancy for private marketsA joined-up plan spanning strategy, governance, delivery and adoption.

02Sector-focused support

The method is consistent, but the source material, judgement and controls differ by investment strategy. Sector pages explain how the work adapts without pretending every firm follows the same process.

03What makes the work implementable

Every engagement is built around five questions: what is causing friction, which approved data is available, how the process really works, what a good output looks like, and what evidence is needed before the result can be trusted. Those questions keep the work grounded when an attractive demo would otherwise hide missing data, judgement or ownership.

// Working principleThe goal is not the largest possible AI programme. It is the smallest credible next step that creates evidence: a foundation, a capability-building session, a prototype, a production workflow or a clear decision not to build.

04Ways to work together

Delivery laneWhat it can includeWhere it leads
Foundation sessionsOne firm-wide workshop, smaller function-specific sessions or a modular series covering practical prompting, projects, connectors, skills, artefacts and governance.A shared capability baseline and stronger use-case intake.
Use-case intakeA short submission form, approved samples and focused reviews to clarify the data, process, judgement, output and owner.A visible, scored and prioritised opportunity list.
Build supportA build day, targeted sprint or end-to-end implementation using real or approved demo data, followed by testing, hardening and handover.A working result or a clear, documented decision not to proceed.
Ongoing supportOffice hours, workflow unblocking, champion coaching, targeted refreshers and concise guidance as tools and capabilities change.Continuity, ownership and improvement after the first launch.

These lanes can stand alone or form one programme. Work can start with one session, one team or one use case and expand only where the evidence supports it. The same approach can also extend across selected portfolio companies.

05Tools and delivery models the work can cover

“AI” often describes several different purchases. The right service depends on whether the need sits in a general-purpose assistant, a finance-specific platform, a focused point solution or automation between systems.

  • General-purpose AI: Claude, ChatGPT, Gemini and Copilot for reading, writing, reasoning, analysis and building.
  • Finance-focused AI: evaluation and implementation support where a specialist platform has a clear advantage for investment work.
  • Point solutions: practical adoption of focused tools for meetings, dictation, research, deployment or another defined task.
  • Automation: triggers, workflows and scheduled processes using tools such as Power Automate, n8n, Make or Zapier after the underlying process and controls are clear.

The work is vendor-neutral. It can include tool evaluation, but the starting point is the workflow and the firm’s approved environment—not a predetermined product.

06Questions about AI services for private markets

Can a firm start with a single session?

Yes. A focused training session, hackathon or workflow working session is often the right way to create evidence before committing to a larger programme.

Do you work with existing tools?

Yes. The starting point is the firm's approved environment, which may include Microsoft 365 Copilot, ChatGPT Enterprise, Claude, Gemini, local models, document stores, data rooms, email and spreadsheets.

Do you work internationally?

Yes. Next Step Ventures is based in London and works with private-markets firms globally, including clients in New York and San Francisco. Engagements can be delivered on site, remotely or in a hybrid format; London remains the consultancy's base.

Is the work only for private equity?

No. Next Step Ventures works across private equity, private credit, investment and asset management, infrastructure, hedge funds, regulated firms and selected startups.

See the Private Markets AI Proof Sprint or request a fit call to discuss the smallest credible starting point.