AI DATA FOR YOU

PROOF, NOT PROMISES BUSINESS OUTCOME · HUMAN CONTROL

Show the operating result — not the volume of AI activity.

These are transparent illustrative cases, not claims about a named client. They show the standard of reasoning we apply: a measurable baseline, trusted evidence, a bounded AI role and a result that must survive its quality and risk guardrails.

The actual value case is built from the organisation's own volumes, unit economics and verified addressable rate.

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01ILLUSTRATIVE CASE · REGULATED OPERATIONSAUD 50k–250k p.a.
Aged Care & Community Services

Funding and claims confidence

BUSINESS CHALLENGE

Delivered services, participant funding rules, supporting notes and claim outcomes do not reconcile until a batch is rejected.

EVIDENCE REQUIRED

Service events, eligibility, code and rule versions, supporting evidence, rejection reasons and finance approval thresholds.

WHAT AI CAN DO

Prioritise likely claim exceptions, explain the fields behind each flag and prepare a correction checklist before submission.

HUMAN BOUNDARY

The authorised billing team verifies every recommendation. AI cannot reinterpret a plan, invent evidence or submit a claim.

PROOF MEASURES

First-pass acceptance, days from service to accepted claim, preventable leakage, rework hours and false alerts.

ILLUSTRATIVE CALCULATIONAUD 5m billable services × 1% preventable leakage = AUD 50k recovered before administration savings.
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02ILLUSTRATIVE CASE · COMMERCIAL VALUEAUD 70k–350k p.a.
Professional Services

Revenue leakage detection

BUSINESS CHALLENGE

Time, milestones, engagement scope and invoices sit across disconnected systems, leaving work delivered but not fully billed.

EVIDENCE REQUIRED

Client and engagement identity, approved rates, time, milestones, work in progress, invoice lines and outstanding exceptions.

WHAT AI CAN DO

Detect unusual billing gaps, group recurring causes and give the engagement owner a source-linked review queue.

HUMAN BOUNDARY

Partners and finance approve adjustments and client communication; AI cannot alter time, rates or invoices.

PROOF MEASURES

Recovered revenue, aged work in progress, days to invoice, exception closure and false-positive rate.

ILLUSTRATIVE CALCULATIONAUD 12m annual fees × 1% leakage × 60% realistic recovery = AUD 72k achievable annual benefit.
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03ILLUSTRATIVE CASE · EARLY WARNINGAUD 100k–500k p.a.
Construction & Property Development

True project margin

BUSINESS CHALLENGE

Commitments, variations, actuals and progress use inconsistent structures, so margin deterioration appears too late to act.

EVIDENCE REQUIRED

Governed project hierarchy, approved budget and variations, commitments, actuals, progress and forecast-to-complete history.

WHAT AI CAN DO

Forecast margin ranges, identify unusual package performance and explain which cost, progress or variation signals drive the warning.

HUMAN BOUNDARY

Commercial leaders approve assumptions and corrective action; AI does not certify progress or make contractual decisions.

PROOF MEASURES

Forecast error, days of actionable warning, validated interventions and margin protected.

ILLUSTRATIVE CALCULATIONAUD 25m delivery portfolio × 0.5% margin leakage identified early = AUD 125k recoverable value.
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SAMPLE DELIVERABLES

Evidence leadership can use.

Every deliverable has a decision purpose, an owner and a clear path into the next stage.

01

Executive decision brief

The business problem, baseline, value range, key risks and recommended decision on one page.

GO · PREPARE · STOP
02

Evidence and control register

Sources, owners, quality thresholds, permitted use, human checkpoints and unresolved exceptions.

TRACEABLE · OWNED
03

30–60–90 day plan

Sequenced work, acceptance gates, accountable roles and the measures needed to prove improvement.

ACTIONABLE · MEASURABLE
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