Your AI Is Running. Is It Running Safely?

Most organizations only discover AI failures after they cause financial loss, regulatory exposure, or a board-level incident.
Your clients come to you because:

The AI risks keeping executives up at night:

Incorrect AI decisions are generating losses before anyone detects them

Regulators are demanding evidence of AI reliability — not assurances

AI has introduced new attack surfaces your current controls don't cover

One high-profile AI failure is now a board-level event

No one internally can prove the AI is behaving as intended

Engenious closes this gap with independent AI Audit as a Service.
We deliver board-ready assurance across data, models, security, fairness, and governance — under your brand, with zero conflict of interest.

Book an AI Audit Call See How It Works

Your AI Is Running. Is It Running Safely?

Where Failures Emerge

Most Organizations Don't Know Where Their AI Will Fail

They only find out after it does. Standard reviews stop at the model layer — but failures originate much earlier.

01 Data Pipelines
UNAUDITED

02 Infrastructure Design
DRIFT DETECTED

03 Governance Gaps
NO COVERAGE

04 Model Layer
WHERE REVIEWS STOP

05 Output Layer
USER-VISIBLE

06 Failure Event
→ BOARD-LEVEL

What We Audit

Five Domains. One Complete Picture.

We audit every layer standard reviews miss — from data pipelines through governance — so failure never reaches the board room.

Data Integrity
Lineage, quality, drift, and privacy across the full data lifecycle

Model Performance
Accuracy, consistency, and error characterisation under real load

Fairness & Bias
Segment-level analysis and measurable business impact assessment

Security & Robustness
Adversarial resilience — prompt injection, exfiltration, tool abuse

Governance & Compliance
Documentation, monitoring, and incident response readiness

Every finding is a business risk — not just a technical flag

How It Works

Your Brand. Our Expertise. Their Confidence.

You own the client relationship. We deliver the audit. White-label or co-branded — your practice expands instantly, with no new headcount and no conflict of interest.

You · The Partner
Client Relationship & Brand
Own the client engagement and revenue
White-label or co-branded delivery
Control margin — expand without hiring
Natural extension of your existing mandate
Us · Engenious
AI Audit Expertise & Delivery
Proprietary five-domain audit methodology
Full technical execution — end to end
Board-ready reports and all deliverables
Ongoing advisory support as needed
Your Client
Trusted AI Assurance
Board-ready AI risk report
Regulatory compliance evidence
Prioritized remediation roadmap
Confidence that AI is behaving as intended

The Opportunity

Your Clients Are Already Being Asked About AI Risk

The window to lead is now — before competitors catch up:

Boards and regulators are demanding AI assurance today

CISOs, GCs, and CFOs are fielding these questions right now

The EU AI Act requires evidence of reliability and governance — not promises

Competitors are still building this capability from scratch

You can offer it immediately, under your brand, with zero new headcount

You already have the trust. AI auditing is a natural extension of your practice.

Explore a Pilot Engagement

What Happens When AI Goes Unaudited

Air Canada — AI Created Legal Liability

Customer-Facing AI Without a Control Layer

Air Canada's chatbot gave customers incorrect refund advice — authoritative answers that weren't grounded in actual policy.
The court held the company legally responsible.

How an audit prevents this:

Ground responses in approved policy data

Enforce business rules before any output is shown

Adversarial testing for edge cases and policy violations

Lesson: AI output creates direct legal liability. If you can't prove it's controlled, you can't defend it.

Book an Audit Call

Zillow — $500M Lost to Unvalidated AI Decisions

AI Decision System With No Real-World Validation

Zillow deployed a pricing model without stress-testing against real market conditions. Model errors scaled into thousands of purchasing decisions before detection — resulting in $500M+ in losses and a full shutdown.

How an audit prevents this:

Scenario simulation under real-world variability

Continuous post-deployment monitoring

Risk thresholds and automated fail-safes

Lesson: A model that works in testing and fails in production is an unaudited model.

Book an Audit Call

iTutorGroup — $365K Settlement for AI Bias

AI Hiring System With No Fairness Validation

iTutorGroup's automated hiring AI systematically rejected older applicants. There was no audit trail, no visibility into decision logic, no bias testing.
The result: a $365,000 settlement, forced redesign, and reputational damage.

How an audit prevents this:

Bias testing across demographic segments

Transparent, traceable decision records

Regulatory compliance validation before deployment

Lesson: AI decisions carry the same legal weight as human ones — without the accountability layer unless you build it.

Book an Audit Call

Chevrolet — AI Manipulated Into Breaking Business Rules

Customer-Facing AI With No Adversarial Controls

A Chevrolet dealership chatbot was prompted by a user into offering a vehicle for $1. The AI ignored constraints, produced out-of-boundary outputs, and made unintended commercial commitments.

How an audit prevents this:

Prompt injection and adversarial scenario testing

Hard output constraints and business rule enforcement

Response validation before delivery to users

Lesson: If your AI hasn't been adversarially tested, someone else will test it for you — publicly.

Book an Audit Call

Who We Help

The right fit for firms that:

Serve clients who run AI in regulated industries

Want to offer AI assurance without building it in-house

Are fielding board or regulatory AI risk questions

Have cybersecurity, risk, or legal tech as their core practice

Need an independent audit — not a vendor selling the fix

Are responding to EU AI Act or other compliance mandates

Four Deliverables. Zero Ambiguity.

EXECUTIVE RISK REPORT
Board-ready. Decision-grade.
Every audit finding translated into business risk language, organized by the five domains. Designed for executive decision-making, not engineering review.
The result: Your client's board has the evidence they need to act — and the confidence that AI is under control.
Start with a Discovery Call
TECHNICAL DEEP DIVE + REMEDIATION PLAN
Layer-by-layer. Action-ready.
Full technical evidence with layer-by-layer detail — for engineering and AI teams to understand, prioritize, and act on. Paired with a remediation plan: quick wins, structural fixes, and long-term investments with effort and business impact estimates.
The result: Engineering teams know exactly what to fix, in what order, and why it matters to the business.
See What's Included

Know Exactly Where Your AI Will Fail — Before It Does

Let's assess your AI risk exposure and build a plan to close it.

Book an AI Audit Discovery Call View Case Study

After submitting this form, you'll receive an overview of our audit methodology and a sample executive risk report.

Your AI Is Running. Is It Running Safely?

Most Organizations Don't Know Where Their AI Will Fail

Five Domains. One Complete Picture.

Your Brand. Our Expertise. Their Confidence.

You · The Partner

Own the client engagement and revenue

White-label or co-branded delivery

Control margin — expand without hiring

Natural extension of your existing mandate

Us · Engenious

Proprietary five-domain audit methodology

Full technical execution — end to end

Board-ready reports and all deliverables

Ongoing advisory support as needed

Your Client

Board-ready AI risk report

Regulatory compliance evidence

Prioritized remediation roadmap

Confidence that AI is behaving as intended

Your Clients Are Already Being Asked About AI Risk

The window to lead is now — before competitors catch up:

What Happens When AI Goes Unaudited

Air Canada — AI Created Legal Liability

Zillow — $500M Lost to Unvalidated AI Decisions

iTutorGroup — $365K Settlement for AI Bias

Chevrolet — AI Manipulated Into Breaking Business Rules

Four Deliverables. Zero Ambiguity.

EXECUTIVE RISK REPORT

Board-ready. Decision-grade.

TECHNICAL DEEP DIVE + REMEDIATION PLAN

Layer-by-layer. Action-ready.

Know Exactly Where Your AI Will Fail — Before It Does

Most Organizations Don't Know Where Their AI Will Fail

Five Domains. One Complete Picture.

Your Brand. Our Expertise. Their Confidence.

You · The Partner

Own the client engagement and revenue

White-label or co-branded delivery

Control margin — expand without hiring

Natural extension of your existing mandate

Us · Engenious

Proprietary five-domain audit methodology

Full technical execution — end to end

Board-ready reports and all deliverables

Ongoing advisory support as needed

Your Client

Board-ready AI risk report

Regulatory compliance evidence

Prioritized remediation roadmap

Confidence that AI is behaving as intended

Your Clients Are Already Being Asked About AI Risk

The window to lead is now — before competitors catch up:

What Happens When AI Goes Unaudited

Air Canada — AI Created Legal Liability

Zillow — $500M Lost to Unvalidated AI Decisions

iTutorGroup — $365K Settlement for AI Bias

Chevrolet — AI Manipulated Into Breaking Business Rules

Four Deliverables. Zero Ambiguity.

EXECUTIVE RISK REPORT

Board-ready. Decision-grade.

TECHNICAL DEEP DIVE + REMEDIATION PLAN

Layer-by-layer. Action-ready.