GTA Companies Discuss a mandate

AI implementation

AI that pays off, at the fund and in the portfolio.

We help private equity firms and their portfolio companies put AI to work where it moves the numbers: faster screening, sharper monitoring, leaner operations, and better forecasts.

Discuss a mandate

Most funds now talk about AI. Far fewer have it running in daily work, producing results they can measure. We focus on that gap, starting with one high-value workflow and building from there.

At the fund

  • Deal screening and pipeline intelligence. Triage inbound and sourced deals against your criteria in minutes, not days.
  • Faster diligence. Summarize data rooms, CIMs, and contracts, and flag the issues worth a closer look.
  • Portfolio monitoring. Pull KPIs from portfolio companies into one view and spot what's drifting early.
  • Cross-portfolio AI strategy. Evaluate vendors and share what works across companies, so each one isn't starting from scratch.

Inside portfolio companies

  • Workflow automation. Take repetitive back-office work, such as intake, billing, scheduling, and reporting, off people's desks.
  • Customer engagement and support. Faster, more consistent responses without adding headcount.
  • Forecasting. Better demand and revenue forecasts from the data the company already has.
  • Sales enablement. Lead scoring and account research that help sellers spend time on the right prospects.

How we engage

  1. 01

    Assess

    Find the workflows where AI will pay off fastest, and check whether the data is ready.

  2. 02

    Pilot

    Put one use case into daily work with a clear metric, such as hours saved, cycle time, or conversion.

  3. 03

    Scale

    Roll out what works, train the team, and repeat across the portfolio.

We use AI every day in our own sourcing operation, so our advice comes from running it, not reading about it.

Questions

Where do firms usually start?

With one high-volume, repetitive workflow that has a clear cost or time metric. At the fund, that is often deal screening. In a portfolio company, it is often a back-office or customer-support process.

Do we need perfect data first?

No. Most useful first projects run on data the firm already has. Part of the assessment is finding out what is usable today and what needs fixing later.

Do you work with the fund, the portfolio companies, or both?

Both. Many engagements start at one level and extend to the other once the first project proves out.

Tell us what you're looking for.

Share your criteria or a sector you're building in. We reply within one business day.

Discuss a mandate