AI implementation sprint · Private equity

Put AI to work in your portfolio

Senior AI builders with MBB experience, working inside your portfolio company to automate the work that matters.

Choose where to start
Three repeatable starting points
Illustrative scene of two AI engineers implementing a workflow together.
From value creation plan to working solution Hands-on delivery · Agreed weekly rate
Already at work in private equity

Senior AI builders work inside PE-backed businesses to automate finance workflows, connect systems and deliver working solutions.

Our experience

01 / Common portfolio value chains

Start where the work repeats

Choose a process. Explore the first workflow. Keep an owner in control.

First implementation

Release cash from receivables

Prioritize overdue invoices, triage disputes and draft follow-ups.

  1. Invoice
  2. CollectStart here
  3. Apply cash
A contained start, with room to extend.
AI-assisted preparation02/04

Collection action draft

Priority
Agreed aging and value rules
Customer context
Relevant correspondence linked
Suggested action
Reminder draft prepared
Human approval retained
Illustrative workflow · Your existing systems
Explore scope & controls
Start from

Accounts receivable aging report, invoice data and the collections inbox.

Prioritize when

First to assess when overdue receivables and manual chasing tie up cash.

Operating measures

Overdue balance · Days sales outstanding · Collector effort

Control boundary

Cash collection is a working-capital outcome; it is not an EBITDA saving.

Beyond the first sprint

Extend straight-through processing to eligible routine transactions, with exceptions and approval policy owned by finance.

02 / Weekly delivery

Move the business forward every week

Agree the weekly rate, see the working increment and decide what happens next.

Direct access to the team doing the work
How we work together

We work with your operating partner or MDP and the portfolio-company management team. Scope, named builders, weekly fees and the option to continue, adjust or stop are agreed before starting. You review delivery each week against an observable operating outcome.

One week at a timeAgreed weekly rate
A working increment

Put the next increment to work

Prototype or integrationTested on representative workExceptions made visible
Review togetherContinue Adjust Stop
See delivery detail

The senior team writes and configures the solution, establishes the required infrastructure and tests the workflow. Team, weekly rate and initial scope are agreed upfront; the engagement can move from prototype to integration and operating ownership over successive weeks.

03 / Senior builders

Work with the people who build

AI and engineering backgrounds. MBB experience. The same senior people shaping and delivering the work.

Explore our experience

We have delivered AI implementation work for PE funds and their portfolio companies, and continue to support this work today.

  • Built working prototypes and integrations around selected finance workflows.
  • Established delivery infrastructure, controls and operating ownership.
  • Worked week to week with operating partners and portfolio-company leaders.

Named people, relevant experience and time commitment are agreed for your engagement.

AI & engineeringBuild · Integrate · Operate
MBB experienceJudgment · Rigor · Ownership
One accountable teamSenior people who deliverNo handoff between advice and implementation
Operating partner / MDPPortfolio-company owner

04 / Economics by process

Model savings by value chain

Compare process benchmarks, then test the savings and payback with your own assumptions.

60%touchless invoice processingAverage reported by AP solution adopters
Source & context

The November 2025 study evaluated 15 AP solution providers using vendor briefings, ratings and customer feedback. It reports 60% average touchless invoice processing and 59% shorter AP cycle times after implementation. Customer sample size is not disclosed. It is not SMB-only, and touchless invoice share is not the share of labor removed. The Hackett Group · 2025

External benchmark · Not a sprint forecast
Build your scenario · USD
FTE effort on this process today
Net effort removed
Independent assumptions · Net of review and exceptions.
Management action
Today2.0 FTE
After automation0.8 FTE

1.2 FTE released · Oversight and exceptions remain.

Illustrative net annual cash savings$58,000

If 1.0 FTE cost exits, less $12,000 annual run costs.

Scenario, not a client result · Before one-time costs
Edit costs & payback
Implementation + transition
Add weekly rate
Simple cash payback
Add weekly rate
Year-one net cash benefit
Add weekly rate

Payback is measured from project start, with setup costs upfront and full recurring benefit after the selected implementation weeks. Ramp-up, tax and financing effects are excluded.

05 / Before we start

Get clear on the implementation

Practical answers for operating partners and portfolio-company leaders.

01

Where should a PE portfolio company start with AI?

Start with a recurring process that has enough volume, accessible data and an accountable owner. Invoice-to-cash, accounts payable within procure-to-pay, and management reporting within record-to-report are useful candidates. We compare the operating baseline, implementation effort and route to cash or cost reduction before choosing the first workflow.

02

What does the AI implementation team actually deliver?

Working prototypes, system integrations, deployment, testing and practical user training. The delivery team combines hands-on AI and engineering backgrounds with experience at McKinsey, BCG or Bain. You work directly with the people building the solution; named people, availability and responsibilities are agreed before work starts.

03

How does a weekly implementation engagement work?

We agree the team, weekly rate and initial scope upfront. Each week, we prioritize the next deliverable with the operating partner or MDP and the portfolio-company owner, build and demonstrate it, then decide whether to continue, adjust or stop under the agreed terms. The timeline depends on access, process complexity and acceptance testing.

04

Can AI automate a finance process end to end?

Eligible routine transactions can move through capture, validation, processing and recording without manual handling when the data, integrations and controls support it. Exceptions, approval policy, accounting judgment and control ownership still need accountable people. We first prove a contained workflow, then increase straight-through coverage where the evidence supports it.

05

Can finance automation reduce headcount or EBITDA costs?

It can support a reduction in roles, contractor spend or planned hires when enough work has been removed and the remaining work can be covered. Released hours alone do not create an EBITDA saving. Finance must validate the cost action, timing, remaining oversight, recurring technology costs and one-time transition costs.

06

How should we calculate savings and payback?

Measure the FTE effort dedicated to the selected process and the fully loaded cost. Estimate the net effort removed after review and exceptions, then identify the spend that can actually leave the cost base. Subtract ongoing technology and support costs. Compare that recurring cash benefit with implementation and transition costs.

07

Can you connect AI to Microsoft 365, Xero and our ERP?

We assess your existing Microsoft 365, ERP, CRM and finance environment, including Xero where relevant. We use supported APIs, connectors or controlled exports according to access, licensing and technical fit. Permissions, data handling, failure recovery and an operating owner are part of the implementation.

08

How do we scale AI across the portfolio?

Prove the workflow in one portfolio company, record the economics and operating requirements, and reuse the tested components where the next company has a comparable process. Each rollout still needs its own system access, data validation, owner and benefit baseline.

Start with one portfolio company

Scope your first AI implementation

Bring the process, the systems and the operating constraint. We will work through what is worth building.

Confidential discussion · Scope agreed before starting

One companyProve the workflow

Repeat where the economics support it.