AI Governance & ROI Diagnostic

Know whether your AI investment will return before you commit to it

A 19-question diagnostic across 7 operational conditions. Produces a RAG scorecard, prioritised intervention list, ROI projection, and a go/no-go recommendation with plain-language rationale. Results are immediate.

APRA, 30 April 2026: APRA issued a formal letter to every bank, insurer, and superannuation fund in Australia, identifying AI governance as a critical gap and threatening enforcement action. The CPS 230 vendor compliance deadline is 1 July 2026. This diagnostic produces the versioned, timestamped evidence trail your board needs to demonstrate structured AI oversight, mapped directly to CPS 230, CPS 234, and ASIC REP 798.

19 questions · 15–20 minutes Results immediate RAG scorecard + PDF report ROI projection in AUD Mapped to CPS 230 · CPS 234 · ASIC REP 798

Start your diagnostic, from $497 AUD Assess delivery health first →

93%

of Australian organisations using AI

Deloitte Australia CFO Survey H2 2025

21%

report clear measurable value

Same survey · 59 Australian CFOs

72%

adoption without measurable return

The gap this diagnostic measures

The problem is structural, not technological

AI does not fix broken processes. It amplifies them. The gap between adoption and measurable return is almost always caused by the same structural conditions, which are measurable before you invest, not after.

Outcome Alignment

Whether leadership has aligned on a declared AI ROI target with a named owner and a written record. Without this, no return is measurable regardless of what AI does.

Can be GREEN without any AI deployment, it is a governance condition, not a technology condition

Overhead Ratio

Coordination overhead relative to productive work. High overhead absorbs the time gains AI is meant to create. AI speeds up generation, it does not reduce wait time caused by coordination.

Most organisations score AMBER, coordination overhead is a universal friction point

AI Adoption Depth

Daily AI tool use across the team. Gains trapped in individual early adopters cannot aggregate to organisational ROI. Under 50% daily use means the return cannot compound.

Most common RED condition, adoption is wide but shallow in the majority of organisations

Process Standardisation

Whether workflows are standardised before AI is applied. AI amplifies what exists, unstandardised inputs produce inconsistent outputs. Standardisation is a prerequisite, not a follow-on.

Directly correlated with whether AI produces consistent, usable outputs at team scale

Data Readiness

Data quality and accessibility for AI consumption. Clean, structured, accessible data is a prerequisite for reliable AI output, not something to address after deployment.

Often underestimated, data quality problems surface after deployment, not before

Dependency Rate

How often work items require external input before they can progress. AI makes generation faster, it does not reduce the wait time created by cross-team dependencies.

Critical in financial services and tech where cross-team handoffs are structurally embedded

Human in the Loop

Whether AI output is reviewed before entering production systems. In regulated environments, financial services, healthcare, legal, this is a compliance requirement before it is a performance consideration.

Particularly critical for APRA-regulated organisations and ASX-listed companies

What you receive

Every completed diagnostic produces an interactive results dashboard and a downloadable PDF report.

Overall score and verdict

Score out of 100 with plain-language go/no-go recommendation

7-condition RAG scorecard

Each condition rated Green / Amber / Red with explanation

Prioritised intervention list

RED conditions listed in the order they must be resolved for ROI to compound

ROI projection

Conservative, realistic, and aggressive scenarios in AUD, based on your team size and salary inputs

Flags and compliance exposure

Structural mismatches and regulatory risks identified specifically

Start your diagnostic →

AI ROI Diagnostic · Sample output

out of 100

Action needed

Wrong sequence. Fix delivery system before increasing AI investment. Stop spending until conditions change.

Primary constraint: AI Adoption Depth

Condition Scorecard

Outcome Alignment

5/6GREEN

Overhead Ratio

5/9AMBER

Dependency Rate

5/9AMBER

AI Adoption Depth

4/9RED

Process Standardisation

3/9RED

Data Readiness

3/6AMBER

Human in the Loop

3/9RED

ROI Projection (annual)

Conservative (10% recovery)$96,683

Realistic (25% recovery)$241,709

Aggressive (50% recovery)$451,190

Illustrative output, your scores reflect your organisation's data

Not ready to purchase? Take the free AI Readiness Snapshot.

5 questions. 3 minutes. Gives you a directional signal on the two most common blockers to AI ROI, before committing to the full diagnostic.

Used by CTOs and Heads of Technology to get a quick read before briefing leadership on AI investment decisions.

Free AI Readiness Snapshot

5 questions · No registration · Instant signal

What % of your team uses AI tools daily?
Are your core workflows documented and standardised?
Do you have a named owner for AI output quality?
Is there a declared AI ROI target in writing?
How many cross-team handoffs does a typical work item require?

Take the free snapshot →

No email required · Takes 3 minutes

Plans and pricing

Both tiers include the full 19-question assessment, RAG scorecard, intervention list, ROI projection, and PDF report.

Starter

$497 AUD

one-time · excl. GST

One complete diagnostic run. Full results, full report. Permanent dashboard access.

Full 19-question assessment
7-condition RAG scorecard
Prioritised intervention list
ROI projection, three scenarios
PDF report with flags and compliance exposure
Permanent dashboard access

Get started →

Continuous AI Assurance Programme

Growth

$1,497 AUD

per quarter · excl. GST · cancel anytime

Run the diagnostic multiple times across a quarter to track whether your AI program is moving the structural conditions. APRA's 30 April 2026 letter stated that point-in-time assurance is inadequate for probabilistic AI models — this quarterly cadence produces continuous, timestamped assurance evidence your board and Risk Committee can rely on.

Everything in Starter
Multiple diagnostic runs per quarter
Before vs. during comparison dashboard
Delta indicators per condition
Track whether RED conditions are resolving
Quarterly 30-minute advisory call

Get started →

Growth billing is quarterly and cancels anytime, access retained for the paid period. Need multi-team or enterprise support? Book a call.

Common questions

Who should complete this assessment?

The person with the clearest operational and technology picture, typically a CTO, Head of Technology, COO, or a senior delivery lead responsible for AI programs. Some questions ask about specific operational metrics that may require looking up. The CFO or an operations lead can provide useful context on several of the financial and governance questions.

Should I do the Flow ROI Diagnostic first?

If you are unsure whether your delivery system is ready for AI investment, yes, the Flow ROI Diagnostic includes an AI Readiness dimension and often reveals structural issues (decision lag, dependency overhead) that directly undermine AI ROI. Many clients complete the Flow ROI Diagnostic first, then use the AI ROI Diagnostic to validate whether the structural conditions specific to AI are in place. The two diagnostics are complementary.

What does the ROI projection calculate?

The projection estimates the annual waste in your organisation across four levers, flow time inefficiency, dependency overhead, decision delays, and manual process overhead. It applies conservative (10%), realistic (25%), and aggressive (50%) recovery percentages to the estimated wasted portion of capacity only, not to total team cost. Salary inputs use published Australian benchmarks from the Hays and Robert Half salary guides. The projection assumes structural conditions are resolved; conditions still RED reduce the achievable return.

Does this cover APRA or compliance requirements?

Yes, in a specific and material way. APRA's 30 April 2026 industry letter identified four AI governance gaps across all regulated entities — with operationalised governance as the most critical. The AI ROI Diagnostic directly addresses this gap: every completed assessment produces a versioned, timestamped, audit-ready evidence trail mapped to CPS 230, CPS 234, and ASIC REP 798. This is not a vendor presentation — it is structured, scored, methodology-based evidence your board can present to demonstrate meaningful AI oversight. The Human in the Loop condition additionally flags whether AI output review processes are in place, which in APRA-regulated environments is a compliance requirement before it is a performance consideration. The Growth tier's quarterly reassessment cadence provides the continuous assurance evidence APRA says point-in-time assessments cannot. It does not constitute legal or regulatory advice.

What is the APRA CPS 230 vendor deadline and does this diagnostic cover it?

APRA's CPS 230 operational risk standard required all pre-existing AI vendor contracts to be reviewed and updated for compliance by 1 July 2026. The AI ROI Diagnostic does not perform a vendor contract review — that requires our separate AI Vendor Risk Register Service. However, the diagnostic will identify whether your organisation has an operationalised AI governance framework, which is the prerequisite condition APRA expects before any vendor compliance work is meaningful. If your organisation has not yet mapped its AI vendor exposure, book a call to discuss the Vendor Risk Register Service.