TL;DR

Savings are visible. Strategy is not. Most scaling ANZ businesses can see what things cost, but not whether those costs sit in the right layer of their operating model. The CMO Evaluation (Cost Model Optimisation) is a pre-scale diagnostic that maps your current activities and recommends which should be AI-augmented, which offshore-restructured, and which retained locally, before you commit to scaling. It produces an activity map, a three-layer allocation, scenario pricing, and an implementation sequence. Not a report of recommendations. A map of decisions.

1: Savings are visible. Strategy is not.

Two-thirds of organisations surveyed redesigned their operating models in the past two years (McKinsey 2025, global, large-enterprise-skewed sample). Even the high performers show a 30 percent gap between strategic potential and delivered performance. These are not small businesses struggling with basics. These are companies that have invested in change and still cannot see where the value sits.

The pattern repeats closer to home. Bstar's 2025 survey of 2,791 ANZ SMEs found that 84 percent carry a significant gap between current business value and achievable value. Sixty-one percent report high or very high owner reliance (Bstar 2020/21, n=2,791). The bottleneck is not effort. It is visibility.

McKinsey's Superagency report (2025, n=3,613 employees plus 238 leaders) surfaced a specific version of this gap: C-suites estimate that 4 percent of their employees use generative AI heavily. The actual figure is closer to 13 percent. A three-fold variance inside the same organisation. If leadership cannot see how AI is already reshaping work patterns, they cannot design an operating model that accounts for it.

This is the problem the CMO Evaluation is designed to solve. Not "how do I save money", but "what is my operating model actually doing, and does the architecture match where I am heading".

2: What a CMO Evaluation actually produces

A CMO Evaluation (Cost Model Optimisation) is a pre-scale operating model diagnostic for ANZ businesses. It maps your current activities and recommends which should be AI-augmented, which offshore-restructured, and which retained locally, before you commit to scaling. It produces an activity map, a three-layer allocation, and an implementation sequence.

The diagnostic works at the activity level, not the role level. A single role (say, a marketing coordinator) contains activities with very different optimum layers: campaign scheduling might be AI-augmented, creative briefing documentation might be offshore-structured with clear specifications, and client relationship management stays local. Role-level analysis would either keep everything local or move everything offshore. Activity-level analysis reveals the real answer.

The four outputs:

Activity map. Every discrete activity your business performs, catalogued and measured against Outrun's 90,000+ monthly activity-level data points.

Three-layer allocation. Each activity assigned to its optimum layer: AI-augmented, offshore-restructured, or locally-retained. Not a recommendation. A decision.

Scenario pricing. What each allocation configuration costs, with comparison basis disclosed. Outrun's 60 to 75 percent cost differential is against AU/NZ on-shore fully loaded cost versus AI-augmented offshore delivered cost. Clean-sheet redesign programmes typically yield 15 to 30 percent headcount-cost savings against a pre-programme internal baseline (Bain spans database; BCG 2025 ZBO). These are different measures answering different questions.

Implementation sequence. Not a 50-page report. A phased plan with the 180-day placement guarantee and zero-markup pricing built in.

3: How to decide what to AI-augment, what to offshore and what to keep local

Apply a three-lever decision tree using four axes: activity type, frequency, regulatory sensitivity and value contribution. Automate high-frequency rule-based activities. Offshore structured recurring activities with clear specifications. Retain judgement-heavy or regulated activities locally. The answer for most activities is a blend, not a single lever.

Three-lever decision tree (HowTo steps):

Axis 1: Activity type. Is the activity rule-based (follows a defined procedure), structured (requires judgement within documented parameters), or unstructured (requires contextual human judgement)? Rule-based activities are candidates for AI augmentation. Structured activities are candidates for offshore restructuring. Unstructured activities stay local.

Axis 2: Frequency. How often does the activity occur? High-frequency activities compound savings quickly in any layer. Low-frequency activities may not justify the transition cost regardless of layer.

Axis 3: Regulatory sensitivity. Does the activity touch data, compliance, or client-facing obligations that require local jurisdiction? Some activities cannot leave the local layer regardless of cost economics.

Axis 4: Value contribution. Does the activity contribute directly to revenue, client retention, or competitive advantage? High-value activities may justify local retention even when cost economics favour another layer, because the learning loops they generate protect the business's strategic position.

Most activities are not cleanly one layer. A bookkeeper's role contains transaction entry (AI), reconciliation exceptions (offshore), and month-end commentary (local). The diagnostic maps the blend. The business owner makes the decision with the map in hand, not from instinct.

4: Activity-based cost assessment for ANZ businesses in the 5 million to 50 million revenue range

Activity-based cost assessment maps the discrete activities your business performs, allocates cost to each activity and makes AI-augment, offshore or retain decisions at the activity level rather than the role level. For scaling ANZ businesses in the 5 million to 50 million revenue range it surfaces cost patterns role-level budgeting hides.

The AU management consulting industry contracted 3.6 percent in 2025 even as the number of providers grew at 2.9 percent compound annual growth (IBISWorld). Businesses are not buying less advice. They are buying more specifically. The shift is from open-ended retainers with large firms to focused, diagnostic-led engagements that produce a defined output for a defined fee.

For ANZ businesses in the 10 to 100 employee range, the timing is structural. The National AI Centre's Q1 2025 data shows 82 percent AI adoption at 200 to 500 employees versus 33 percent at 0 to 4 employees. The 10 to 100 band sits mid-curve. CPA Australia's 2025 survey shows 89 percent of accountants report AI usage, but only 16 percent have it widely integrated. The gap between using AI and designing an operating model around AI is exactly where a diagnostic earns its value.

The World Economic Forum's 2025 task analysis projects a current split of roughly 47 percent human, 22 percent technology, and 30 percent human-machine collaboration. By 2030, that moves toward a roughly even three-way split. For a scaling business, the question is not whether the split changes but whether you have mapped which of your activities sit where before you commit resources.

5: Why an operating model audit comes before a fractional hire

Yes. An operating model audit decides what work should be AI-augmented, offshore-restructured or retained locally before you commit to any fractional executive. Hiring first means paying a fractional CMO to discover problems the audit would have surfaced for less. Sequence matters: diagnose first, then hire into the correct role.

A fractional CFO diagnoses the finance function. A fractional COO diagnoses operations. Each looks at one function through one lens. The CMO Evaluation looks across the entire operating model and asks a different question: before you hire anyone, where should each activity live?

The price comparison is worth stating plainly. Big 4 end-to-end operating model reviews run AUD 500,000 or more over 6 to 24 months. Mid-tier advisory engagements run AUD 150,000 to 500,000 over 3 to 12 months. Fractional executive diagnostics run AUD 10,000 to 50,000 over 4 to 12 weeks. Activity-level diagnostics like the CMO Evaluation start from AUD 750 and scale to AUD 5,000 to 50,000 depending on scope. The question is the same. The economics are a 10x choice.

McKinsey's transformation research shows top-quartile programmes capture 28 percent of value by month 3 and 57 percent by month 6. Programmes ready in under 18 months are 1.6 times more likely to succeed. Speed changes the maths. A diagnostic that takes 2 to 6 weeks and produces executable decisions (not a report of recommendations) compresses the path from question to action.

6: Pre-scale diagnostic vs financial audit vs offshore readiness check

A financial audit looks backward: it verifies historical records against standards. A pre-scale operating model diagnostic looks forward: it decides how your activities should be allocated across AI, offshore and local layers before scaling. Both have a place. They answer different questions at different moments in the business lifecycle.

An offshore readiness check, typically offered by BPO providers, asks a narrower question still: which roles can be filled offshore? It operates at the role level and considers one layer only. The CMO Evaluation considers all three layers and works at the activity level because a single role almost always contains activities that belong in different layers.

The distinction matters because scaling businesses often encounter these three conversations in sequence but treat them as substitutes. They are not. A financial audit confirms your numbers are right. A pre-scale diagnostic decides how your operating model should be structured. An offshore readiness check tells you which roles to fill. The sequence is: diagnose first, structure second, fill third.

7: Where the CMO Evaluation fits alongside Big 4 operating model work and fractional C-suite engagements

PwC Australia's October 2025 Organisation Design for the Digital Age service, supported by Orgvue, integrates AI impact analysis, separability analysis, and retained-activity redesign. KPMG AU's Workforce AI Advisory covers AI and retention. At the enterprise level, integrated three-layer thinking exists. The CMO Evaluation does not claim otherwise.

What the CMO Evaluation offers is a different answer for a different buyer. Three differences:

Segment. Enterprise operating model reviews serve CFOs and COOs at organisations with hundreds or thousands of employees. The CMO Evaluation serves business owners and founders at ANZ businesses with 10 to 100 employees. The buyer is different, the decision context is different, and the outputs need to be directly executable by someone who runs the business, not handed to an implementation team.

Pricing. Enterprise reviews start in the hundreds of thousands. The CMO Evaluation starts from $750 for a basic assessment and scales to $5,000 to $50,000 depending on scope and complexity. Progressive commitment: free calculator, free Activity Analysis Session, paid evaluation.

Productisation. Enterprise reviews are partner-led, open-ended advisory engagements. The CMO Evaluation is a fixed-fee, structured-output diagnostic. The output is an activity-by-activity decision map with cost per activity, quality thresholds, and re-recruitment guarantee context. Not a narrative report. A map of decisions.

8: A worked example for an ANZ business at 15 million in revenue

Consider a hypothetical ANZ professional services firm at $15 million revenue, 45 employees. The owner knows payroll is 62 percent of revenue. The firm is profitable but the owner is working 55-hour weeks and every significant decision still routes through them.

A CMO Evaluation maps 340 discrete activities across the firm. The diagnostic reveals that 38 percent of those activities are rule-based and high-frequency (candidates for AI augmentation: scheduling, data entry, template generation, compliance form preparation). Twenty-two percent are structured and recurring with clear specifications (candidates for offshore restructuring: accounts processing, report formatting, client onboarding documentation). The remaining 40 percent are judgement-heavy, client-facing, or regulatory-sensitive (retained locally: client advisory, strategic planning, compliance sign-off, business development).

The three-layer allocation shows the firm can restructure its cost model while the owner's direct involvement drops from 340 activities to the 136 that actually require their expertise. Not a headcount reduction. A reallocation that matches each activity to its optimum layer.

The decision map is the output. The owner decides. The 180-day placement guarantee and zero-markup pricing provide the commercial protection around the decision.

9: Common questions about the CMO Evaluation

Q: What does CMO stand for in the CMO Evaluation?

A: CMO stands for Cost Model Optimisation. The CMO Evaluation is not related to Chief Marketing Officer, Chief Medical Officer, Contract Manufacturing Organisation, or the academic Context-Mechanism-Outcome methodology. It is Outrun's branded pre-scale operating model diagnostic for ANZ businesses.

Q: Who is the CMO Evaluation designed for?

A: The CMO Evaluation is designed for ANZ business owners and founders running businesses with 10 to 100 employees in the $5 million to $50 million revenue range. It suits businesses considering scaling, offshore augmentation, or AI integration that want a structured diagnostic before committing.

Q: How long does a CMO Evaluation take?

A: A basic CMO Evaluation takes 2 to 4 weeks. Comprehensive evaluations with deeper activity mapping and scenario modelling take 4 to 6 weeks. Both are significantly faster than enterprise operating model reviews, which typically run 6 to 24 months.

Q: What does a CMO Evaluation cost?

A: The CMO Evaluation starts from $750 for a basic assessment and scales to $5,000 to $50,000 depending on scope and complexity. The progressive pathway is: free Task Savings Calculator, free Activity Analysis Session, then paid CMO Evaluation.

Q: How is the CMO Evaluation different from hiring a fractional CFO or COO?

A: A fractional executive diagnoses one function. The CMO Evaluation diagnoses the entire operating model at the activity level, mapping all three layers (AI-augmented, offshore-restructured, locally-retained) before any hiring decision. It is the upstream decision that fractional hires execute downstream.

Key Takeaways

1. The biggest gap in most scaling ANZ businesses is not cost. It is visibility. Leadership cannot see how work actually flows across their operating model.

2. The CMO Evaluation (Cost Model Optimisation) is a pre-scale diagnostic that maps activities across three layers: AI-augmented, offshore-restructured, and locally-retained.

3. Activity-level analysis reveals cost patterns that role-level budgeting hides. A single role almost always contains activities that belong in different layers.

4. The diagnostic produces a decision map, not a recommendation report. The output is directly executable.

5. Sequence matters: diagnose first, structure second, hire third. An operating model audit before a fractional hire saves the cost of paying someone to discover what the diagnostic would have surfaced for less.

Next Step CTA

Ready to see what your operating model is actually doing?

Start with the free Task Savings Calculator. If the numbers raise questions worth answering, book a free Activity Analysis Session. And if the session confirms what you suspect, the CMO Evaluation gives you the map.

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