Responsible AI assurance, Australian made

RAIReady — Responsible AI assurance advisory and platformRAIReady

Deploying your first AI tool or governing hundreds? Prove risks are identified, managed, and under control.

Whoever is scrutinising you — an enterprise customer's security review, a board, an insurer or a regulator — needs proof before they sign. RAIReady turns scattered controls, tests and approvals into one evidence-led assurance record you can hand to any of them.

Australian context
Independent review
Continuous assurance
Defensible records

Assuring thousands of commercial AI vendors alongside the major frontier labs

From off-the-shelf AI tools, copilots and SaaS vendors to bespoke systems built on foundation models and enterprise clouds.

OpenAIAnthropicGoogle CloudMicrosoft AzureAmazon Web ServicesMetaMistral AI

RAIReady assesses commercial AI software from thousands of third-party vendors as well as custom systems built on foundation models. We are independent of any vendor.

Why this matters now

AI is already in use. The accountability for it has to catch up.

Scrutiny arrives before you're ready

An enterprise customer's security questionnaire, a board sign-off, an insurer's pricing, a regulator's question — each wants proof on their timetable, not yours.

Good intentions are not evidence

An AI principles page doesn't answer who tested the system, what the results were, or who accepted what's left over.

Adoption runs ahead of oversight

AI tools reach customers and staff faster than assessment, approval and monitoring can keep up.

Answers must survive later review

What you say today has to hold up months afterwards, with the evidence to back it.

One connected assurance lifecycle

From an AI register to a position anyone can challenge — and you can defend.

RAIReady connects the work that is usually split across questionnaires, spreadsheets, evidence folders and periodic reviews.

  1. 01

    Register and score the risk

    Inventory every AI system, classify it and score inherent risk on one consistent scale.

  2. 02

    Prove the controls

    Connect each obligation to dated evidence and independent review — never self-grading.

  3. 03

    Decide with accountability

    Record readiness decisions and risk acceptance with the people and rationale behind them.

  4. 04

    Keep it current

    Monitor incidents, model changes, evidence expiry and supplier developments.

  5. 05

    Explain the position

    Turn the live record into framework coverage, executive measures and reports that hold up under questioning.

Ways to work with us

Start with the level of support that fits today — scale when you're ready.

The same evidence-led system carries all three. Most teams start with expert-led assurance and take the capability in-house over time.

AI Assurance Review

Fixed fee · one AI system · RAIReady-led

A RAIReady-led review of a single AI system: expert assessment, evidence review and a readiness opinion you can hand to a customer, board, insurer or regulator.

  • RAIReady-led review
  • Defined evidence requests
  • Readiness opinion and assurance pack
Discuss this option

Govern

Flagship

From $1,250/month · up to 20 AI systems

A managed assurance platform with analyst support, continuous monitoring and supplier intelligence. Your team runs the portfolio; a named RAIReady analyst judges the evidence.

  • Full assurance workspace
  • Named analyst review
  • Monitoring and supplier intelligence
Discuss this option

Enterprise

Custom · for your own assurance function

A configurable platform for organisations operating their own assurance function: custom controls and frameworks, role-separated workflows, SSO and portfolio reporting at scale.

  • Organisation configuration
  • Role-separated approvals
  • Portfolio and framework reporting
Discuss this option

Continuous managed assurance starts from $1,250/month, invoiced monthly under a 12-month agreement (ex-GST). Single-system reviews are a fixed fee. See what's included in each plan.

The system behind the work

Every engagement runs on one traceable assurance record — and it stays live afterwards.

Assessment, evidence, review, decisions, supplier signals and monitoring sit in one place. Teams work what changed; executives see what it means.

Evidence-led assurance

Controls are demonstrated with evidence and analyst judgement, not self-attestation alone.

Continuous awareness

Material changes, incidents, expiry and supplier updates can trigger reassessment.

Decision-ready reporting

Trust measures and versioned reports explain the basis, gaps and limits of the position.

Illustrative portfolio
Assurance command centre
4 need attention
Trust index
78 / 100
Evidence current
91%
Decisions waiting
2
Material supplier change
Aurora AI · analyst review required
Act now
Readiness decision waiting
Customer service copilot · executive
This week
Evidence approaching expiry
Model evaluation report · 12 days
Watch
Accountable governance

The person preparing the case is not the only person judging it.

Four access levels keep delivery, independent review, executive decision-making and platform administration distinct.

Initiative owner

Registers initiatives, assesses risk, provides evidence and responds to findings.

RAIReady analyst

Challenges responses, judges evidence, raises findings and completes review.

Client executive

Records readiness decisions and formally accepts or declines residual risk.

Administrator

Governs access, configuration, mappings, imports and assurance cadence.

Evidence judgement, finding closure, readiness decisions and higher-severity signal resolution require controlled roles and, where applicable, two different people.

What proof actually means

A position is only worth something if it holds up when it is questioned.

Independent review

The people who build an AI initiative do not judge their own evidence. Review is a separate, recorded step.

Two-person accountability

Evidence judgement, finding closure, readiness decisions and escalated signals require controlled roles and separate people.

Dated evidence with expiry

Every control is supported by evidence that carries a date, an owner and a refresh point — not a one-off attestation.

Recorded risk acceptance

Residual risk is accepted in writing, with rationale and an expiry, by the executive accountable for it.

Written challenge

An executive who disagrees with a risk rating can challenge it in writing and have the answer recorded on the case.

Complete activity trail

Assessments, judgements, decisions and changes are attributable, so any conclusion can be traced to its basis.

Supplier and continuous assurance

Your assurance position changes when the products you rely on change.

RAIReady watches the operating record around AI initiatives and suppliers, then puts material signals in front of an analyst rather than silently changing the record.

Daily supplier intelligence

Read supplier pages, public reporting, regulator notices and advisories for assurance-relevant change.

Material-change monitoring

Capture incidents, model changes, new integrations and wider permissions, linked to reassessment.

Analyst-controlled action

Accept or dismiss sourced signals, bring reviews forward and keep every judgement in the audit history.

Frameworks and standards

Read one assurance record against the standards your board, regulator and customers ask about.

Cross-framework mappings show demonstrated coverage, supporting evidence, review status and prioritised gaps without recollecting the same evidence for every framework.

Management systems

ISO/IEC 42001:2023

Clauses 4–10 and Annex A controls mapped to responses, evidence and review.

Risk and governance

NIST AI RMF · ISO/IEC 23894 · ISO 31000

Govern, Map, Measure and Manage alongside structured AI risk treatment.

Australian guidance

AI Ethics Principles · Voluntary AI Safety Standard

Eight ethics principles and ten guardrails carried into controls and reporting.

Privacy and security

Privacy Act · APPs · ISO 27001 · SOC 2

Reuse existing evidence while identifying AI-specific privacy and security gaps.

Regulation

EU AI Act

Track risk-tier obligations for organisations with European exposure.

Sector guidance

Essential Eight · APRA CPS 234/CPG 235 · AI in government policy

Apply additional expectations where the operating context requires them.

Alignment describes how the method and mappings are structured. It is not certification, and a mapping alone is not a statement of compliance.

Board confidence

Every conclusion carries its basis, gaps and limits.

Issue an assurance review, readiness decision, framework coverage report, executive portfolio report or combined assessment and controls pack from the live record.

01

Assurance review

Versioned, attributable and traceable to the records it reports.

02

Readiness decision

Versioned, attributable and traceable to the records it reports.

03

Framework coverage

Versioned, attributable and traceable to the records it reports.

04

Executive trust report

Versioned, attributable and traceable to the records it reports.

Start with the decision

Tell us the AI decision you need to be able to defend.

Two ways forward: run the free AI Defensibility Check for an instant read on your posture, or tell us what's in front of you and we'll map the assurance path that fits — expert-led service, managed platform, or the enterprise platform for your own team.

Share the AI rollout, supplier, customer review or governance deadline currently in view. We will outline the evidence and assurance path that fits.

Not ready to talk?

Benchmark your posture against Australian standards in about five minutes — no commitment, no sales call.

Run the free AI Defensibility Check
A useful first discussion covers
  • What AI is already in use or approaching approval
  • What your customers, board or regulators expect
  • Where evidence and accountability currently sit

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