orangeAI
Discover · phase 1
AI Readiness Scorecard FreeA three-minute self-check.AI Opportunity Call FreeA straight steer on your best next step.AI Activation $2,499Switched on as a client, map in hand.AI Discovery & Roadmap AnchorKnow exactly where AI earns its place.Process CaptureHow the work happens, documented as an asset.Reasoning CaptureKey-person judgement, made an asset.
Design & Ignite · phases 2–3
Design & BuildThe engine that constructs it all, including skill design.
Amplify · phase 4
Chief AI OfficerAn accountable AI executive on retainer.Managed AgentsHigh-stakes work, run as a governed service.Business IntelligenceLive cockpits, assembled and analysed overnight.Governed AI RolloutYour whole workforce, switched on safely.
One methodology: Discover → Design → Ignite → Amplify. Every product sits on it.How I work →The Client Portal →Full map →
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orangeAI

We map how your business actually runs, then put AI where it earns its place. Brisbane, Australia.

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Amplify · phase 4

Managed Agents

Your high-stakes, repeatable work run as a governed service: deterministic, monitored, one consistent method, no drift.

The problem

Some work is too consequential to leave to whoever happens to be doing it that day. When three people can run the same forecast and get three different answers, or a pricing decision reaches a customer with no audit trail, that inconsistency is a liability.

What you get

  • For deterministic, high-stakes workloads (forecasting, costing, compliance and confidentiality checks, background watchers): a managed agent with defined inputs to a defined output, running one centrally governed method
  • Run for you as a managed service: monitored, kept accurate, improved as your business changes
  • You own the operational output; we carry the reliability and the oversight
  • Priced per managed agent, scoped from your Discovery

How it’s governed

No managed agent reaches production without an evaluation gate: a gold test set, a grading rubric, an accuracy threshold it must clear, and a monitoring loop that watches it after go-live.

Every agent has a named owner, a monitoring cadence, and an incident path. Productionising this tier without that gate is the single biggest quality-and-liability risk in any build, so we don’t.

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Why it’s credible. We build the proof before we put a price on it. Our first two agents were validated against real client data before we’d quote them: one reconciles a manufacturer’s demand-forecasting workbook to 99.998%; the other read a 500-staff industrial contractor’s raw take-off with no answer key, found 35 of 37 cable codes and priced 34 of them to the cent against the estimator’s own numbers. On the rest it showed its working and left the call to a human, which is the behaviour we were actually testing for.

Riverlight Pty Ltd · demonstration environmentSample workspace
A real Orange AI managed-agent workspace for the Riverlight demonstration environment, showing an AP coding agent's processing queue, a judgement call it flagged, and how the run is governed

Sample workspace, demonstration environment. Riverlight is an internal Orange AI test client we built to prove the managed-agent product end to end — every name, invoice and figure shown is synthetic. This is the real AP Coding agent workspace: what it read, what it coded on its own, what it flagged for a human, and how the run is governed.

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