For CEOs, CFOs and COOs

Become AI-native. Or become someone else’s acquisition.

Investors are already buying established businesses and rebuilding them around AI. The margin AI unlocks in your operations will be captured by someone. We help you capture it first, with governed agents your auditors can follow line by line.

The same work, two ways
TaskTraditionalAI-native
Invoice checksSampled, weeks laterEvery line, on arrival
ExceptionsFound by chasingFlagged with evidence
DecisionsInbox and phoneOne card, one approval
Audit trailReconstructed laterRecorded by default

The evidence

The gap between companies that adopt AI and those that wait is now showing up in deal flow and in competitors’ results.

US$1.5B

of one venture firm’s latest fund committed to buying established services businesses and transforming them with AI.

Source: TechCrunch, Sep 2025

2.4×

the revenue growth, and 2.8× the EBITDA growth, of the most AI-advanced companies compared with laggards, in a survey of 1,330 senior leaders.

Source: BCG, Sep 2026

31.8% → 35.7%

adjusted operating margin at a freight leader that credits custom-built AI agents for year-on-year productivity gains of 15% or more.

Source: C.H. Robinson Q2 2026 earnings, SEC filing

How it works

Agents prepare. Your people decide.

Our agents do the checking, matching and chasing inside your existing ERP, finance and operations systems. Every proposal arrives with its evidence attached, and a named person approves it before anything happens.

  • Role-based approvals: every money movement and customer commitment has a named approver.
  • A full audit trail of inputs, evidence, proposal, decision, who and when.
  • The option to run inside your own cloud, so your data stays within your boundary.
Decision card · freight invoiceIllustrative
LineFinding
Base freightMatches PO and rate card
DetentionGPS dwell shows 2 h billable, not 6 h
Fuel surchargeNot in the lane contract

Proposed: short-pay, with proof of delivery, GPS log and rate card attached, plus a draft note to the carrier. Routed to a reviewer.

Example of an agent built for a freight technology platform. Figures are illustrative.

How an engagement runs

Step 1 · Fixed fee

Assess

We map your workflows, data and systems, and rank where an agent pays back fastest, and where it won’t.

Step 2 · Paid pilot

Prove

One governed agent, live on one workflow, measured on how often your reviewers agree with it.

Step 3 · Ongoing

Run & expand

We support the agent in production, widen what it handles as trust is earned, and add the next workflow.

Sectors

The method is the same everywhere. These are the sectors where we see the clearest case for governed agents.

AI Services

Assess, apply, deliver

Governed agents, analytics and automation built on strong data engineering, on Claude and Microsoft Azure.

Explore AI Services →
AI-run Payroll · ANZ

Payroll that checks itself

SAP Payroll implementation and managed services across Australia and New Zealand, with agents that catch errors before the pay run.

Explore AI-run Payroll →

Start with a fixed-fee assessment. Prove it with a paid pilot.

We find the two or three workflows where an agent pays back fastest, and tell you plainly where it won’t.