For private equity

Map AI opportunity across operating companies.

Task helps PE operating teams build a clearer view of where AI can improve work across a company or portfolio.

Start with one company or portfolio-level view. Keep the operating context with the company for future use.

What Task is

Task helps private equity teams understand operating context across companies and identify where AI may improve workflows without making portco context portable by default.

The problem

Every value-creation plan now includes an AI question.

The operating challenge is knowing where AI actually matters inside the company, which workflows are ready, and where the team needs more context before acting.

Task helps PE teams start from operating reality.

What Task does

Understand

Find the workflows where AI may create operating leverage.

Capture

Capture the operating context from the people closest to the work.

Improve

Create an AI opportunity view that can inform the first workflow and future expansion.

Answers to common questions

How is Task different from Keye, Bridgetown, Hebbia, or Rogo?

Those vendors make existing diligence faster. Task is the AI-strategy-of-target diligence layer — the new top-line pillar Bain elevated alongside Commercial, Operational, and Tech in the 2026 Global Private Equity Report.

We've tried building interview agents with GPTs — why Task?

Most firms have a folder of half-working GPTs. Task is a tailored, agent-first interviewing system — methodology-grounded, cross-functional, and consistent across every portfolio company — that encodes what it learns into a playbook you own and re-run, not a one-off prompt that degrades the moment its author moves on.

Won't running agents across an entire portfolio get expensive?

We've optimized the agents so your tokens go further — repeated context is cached, the heavier models are reserved for the work that actually needs them, and you can bring your own provider keys for full cost control and visibility. The result is portfolio-scale interviewing and analysis at a fraction of what a naive multi-agent setup would burn, and an even smaller fraction of what people executing those interviews would cost.

Will management teams actually talk to an AI?

When the conversation is specific, respectful, and connected to real work, teams are willing to participate.

How is this different from process mining like Celonis?

Process mining reads event logs and tells you what already happened in your systems. Agentic interviews capture how work is actually meant to happen — including the cross-functional handoffs, exceptions, and tacit judgment that never hit an event log. Process mining sees the digital trace; agentic interviewing captures the human substrate where most operating leverage hides.

Does our investment thesis stay confidential?

Your investment thesis, operating methodology, and sector specialty stay yours. Each portco’s work stays isolated; the firm-level playbook compounds across the portfolio without leaking IP across deals.

What happens to the interview data?

Interview output is structured and feeds Task's deliverables, with provenance carried through to every downstream artifact — so risk, legal, and internal audit can trace any claim back to its source. The data stays with the customer.

Private equity

Talk to us about a company or portfolio view

Tell us about the company or portfolio workflow you are trying to understand.