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AI Assurance & Testing

Every AI Assurance & Testing service AI Solution Technologies delivers, within the AI Governance, Risk & Responsible AI practice.

Book a scoping call →See how it runs

Adversarial testing specific to AIStatistical fairness measurement with documented methodologyISO/IEC 42001 implementation and certification supportThird-party AI risk assessment

BUILT ON

The problems AI Assurance & Testing exists to solve

No independent evidence that an AI system behaves as claimed

Fairness and bias exposure that has never been measured

AI capability embedded in vendor products without assessment

Certification required by clients or regulators and not yet held

Discuss your challenges

What is AI Assurance & Testing?

Every AI Assurance & Testing service AI Solution Technologies delivers, within the AI Governance, Risk & Responsible AI practice.

SENIOR-LED

Test plan and adversarial test execution

Independent evidence of how the system actually behaves

PRODUCTION-READY

Findings report with severity and remediation

Known and mitigated fairness exposure

KPI-DEFINED

Bias and fairness measurement results

Vendor AI risk assessed rather than assumed

Get a free
discovery sprint

Before you commit, we help you confirm the use case, check data readiness, define the KPI, and work out which AI Assurance & Testing services actually fit the problem you have.

For a limited number of teams each quarter, we run the full sprint free of charge.

Claim a free sprintTrusted by data leaders
across industries

STAGE DELIVERY7

DiscoverUnderstand your challenges and opportunities
AssessEvaluate data readiness and current state
DefineDefine KPIs, scope and success metrics
Deliver valuePrototype, validate and deliver quick wins

No commitmentExplore the value, risk-free.
Focused outcomesWe define impact, KPIs and success.
Fast & collaborativeDelivered by experts, built for your team.

How AI Assurance & Testing runs

Confirm objectives, stakeholders, constraints and success measures

Review current systems, data, controls and delivery readiness

Prepare the target design, backlog, governance and implementation plan

Test the priority requirements through a prototype, pilot or controlled design review

Configure, integrate, test and deploy the approved solution

Train users, transfer knowledge and establish operating procedures

Monitor adoption, performance, cost, quality and improvement opportunities

KEY CAPABILITIES

What we bring to AI Assurance & Testing

01Adversarial testing specific to AI, not adapted from cyber testing
02Statistical fairness measurement with documented methodology
03ISO/IEC 42001 implementation and certification support
04Third-party AI risk assessment
05Evidence packaging for auditors and regulators

What you get, and what follows

A complete AI Assurance & Testing foundation that drives clarity, control and confidence across your organisation.

DELIVERABLESEverything we deliver to build a strong, governed AI Assurance & Testing capability.

Test plan and adversarial test execution
Findings report with severity and remediation
Bias and fairness measurement results
Explainability implementation where required
Vendor and supply-chain risk assessment
Certification evidence and audit support

BUSINESS OUTCOMESThe outcomes you achieve, and the impact that follows.

Independent evidence of how the system actually behaves
Known and mitigated fairness exposure
Vendor AI risk assessed rather than assumed
Certification achieved and maintainable
A stronger position in client and regulator conversations

Book a scoping call

No obligationYou keep the written summary either way
Tailored to youFocused on your data, priorities and goals
Expert-ledDelivered by specialists with real-world experience

The services inside AI Assurance & Testing

AI Red TeamingStructured adversarial testing of AI systems to find harmful, non-compliant or incorrect behaviour before users or regulators do.Prompt Injection & Jailbreak TestingTargeted testing of a system's resistance to instruction injection through user input, documents and retrieved content.Bias, Fairness & Disparate-Impact TestingMeasurement of whether an AI system produces materially different outcomes across groups, with documented findings and mitigations.Explainability & Interpretability ImplementationImplementation of the technical means to explain why a model or agent produced a particular output.AI Transparency & User Disclosure DesignDesign of how and where users are told they are interacting with AI and what it can and cannot do.Third-Party & Supply-Chain AI Risk AssessmentAssessment of AI capability embedded in vendor products and services, and the risk it introduces.Vendor AI Due DiligenceStructured evaluation of an AI vendor's models, data handling, security, evaluation practice and contractual commitments.Training-Data Provenance GovernanceControls establishing where training and fine-tuning data came from, what rights attach to it and how it is retained.Copyright & IP Risk Assessment for GenAI OutputsAssessment of intellectual property and copyright exposure arising from generative AI outputs and the controls that reduce it.ISO/IEC 42001 ReadinessGap assessment and preparation for certification against the ISO/IEC 42001 artificial intelligence management system standard.ISO/IEC 42001 Implementation & Certification SupportFull implementation of the AI management system, internal audit, corrective action and support through external certification audit.

INVESTMENT & DELIVERY

How we engage on
AI Assurance & Testing

A proven delivery approach that is transparent, flexible and built to deliver lasting value.

DELIVERY MODELSFixed price or milestone basedFixed priceMilestone based, or time and materials for evolving scopeDelivered by a senior-led Australian team across 7 stages, from discovery through to optimisation.

WHO THIS IS FOR