The same proven methodologies Big 4 firms use (strategic frameworks, structured interviews, multi-perspective analysis, calibrated scoring) at a speed and cost that makes consulting-grade strategy accessible to every Australian organisation.
A Big 4 consulting engagement follows a well-established process: research the organisation, interview stakeholders, apply analytical frameworks, score against benchmarks, identify threats and opportunities and synthesise findings into deliverables. The methodology is proven. What varies is who executes it, how long it takes and how consistent the output is.
Mireto follows the same process at every step. The difference is execution. Strategic frameworks are applied in parallel rather than sequentially, each purpose-prompted to its analytical lens. Every score is calculated against calibrated rubrics with hard boundaries, not estimated by an analyst having a good or bad day. Every finding carries a confidence tag so you know what is verified and what needs validation. The strategy workshop then puts six specialist AI Advisors in the room with you, each working through different facets of your position. And every deliverable is reviewed by an automated quality agent that checks for ten specific failure modes before you see it.
A consulting team assigns specialists to different workstreams because strategy, technology, finance, workforce, revenue and leadership require fundamentally different analytical lenses. A single generalist (human or AI) cannot hold all six perspectives at once without compromising depth.
Each of our six advisors operates from a distinct knowledge base with defined expertise, communication style and analytical frameworks. They do not simply agree with each other. When the Strategy advisor identifies an opportunity, the Finance advisor stress-tests the business case. When Technology proposes an investment, People assesses the workforce impact. This cross-perspective tension is what separates a robust strategy from a slide deck.
The most common failure in AI-generated assessments is that scores sound plausible but are not grounded in anything reproducible. An AI model asked to “rate this company's AI exposure on a scale of 1–10” will produce a number. It will not produce the same number twice, and it cannot explain why it chose 7 instead of 6.
Our scoring model uses calibrated rubrics with hard boundaries for each dimension. A workforce replaceability score above 7 requires evidence that more than 50% of the organisation's work is knowledge work. A market velocity score above 7 requires evidence of sub-annual peer-adoption cycles and visible AI-native peers. These boundaries are not suggestions; they are constraints that prevent score inflation and ensure that different organisations receive meaningfully different scores.
Maturity scores derived from the strategy workshop use calibrated rubrics applied to your responses. Each dimension is scored against hard boundary rules (for example, a workforce score above 7 requires evidence that more than 50% of work is knowledge work). Adjustments are clamped to prevent score inflation. You can review and adjust scores before strategy generation.
Every finding in your assessment carries one of three confidence tags:
When you provide validated data through the strategy workshop (confirming or correcting an inference) the confidence tag upgrades and the underlying data changes across every analysis and deliverable. This is how a desktop assessment becomes a grounded strategy.
Before any deliverable reaches you, an automated quality agent reviews it against ten specific failure modes:
Findings that fail the review are corrected automatically. Narrative tone is actively moderated. Language severity is calibrated to each disruption band to prevent the analysis from being more alarming than the evidence supports.
Government organisations do not have “customers”; they have citizens. They do not have “revenue”; they have appropriations. Universities measure enrolment, not sales. Not-for-profits track mission impact, not profit margins.
Our analysis adapts every dimension (language, metrics, benchmarks, scoring weights and policy context) based on whether the organisation is a company, government agency, university, SME or not-for-profit. Government analysis is grounded in current Australian policy frameworks including the National Framework for Assurance of AI in Government and the DTA's Policy for Responsible Use of AI. This is not a cosmetic word replacement. It reshapes how threats and opportunities are framed, what benchmarks are used and what language appears in your deliverables.
Our analysis is built on six proprietary strategic frameworks developed from established consulting methodologies:
These frameworks are applied to every assessment automatically, weighted for your industry and entity type. They provide the analytical structure that transforms raw data into strategic insight.
The sections below describe the specific steps, scoring dimensions and generation process in detail.
The initial scan produces an AI Disruption Snapshot based entirely on publicly available information. No organisational data is required at this stage.
The AI Disruption Score is calculated across eight weighted dimensions. Four measure exposure, one measures opportunity and three measure defensibility. Weights reflect relative importance and sum to 10.0, so a perfect score across all dimensions equals 100.
After Phase 1, two paths diverge. Both start from the same AI Disruption Snapshot.
Skips the strategy workshop. A guided intake confirms which threats and opportunities matter most, validates your SWOT and captures your objectives. The platform generates a focused playbook across four areas:
A synthesis identifies the most important moves for this quarter. No workshop, no four-deliverable suite, no senior review. Fast Track applies as dollar-for-dollar credit if you upgrade to Complete AI Strategy.
Runs the full pipeline described in Phase 2 below: a 20–30 minute strategy workshop with four AI Advisors, optional document uploads, an AI Maturity Assessment, four additional deliverables and senior strategist review before release.
The sections below cover Phase 2, which describes the Complete AI Strategy path only.
When an organisation upgrades to AI Strategy, the AI readiness assessment is enriched with organisational data through three inputs: document uploads (or the Quick Business Profile), a guided strategy workshop and AI maturity self-assessment.
The AI.Mireto is powered by Anthropic's Claude. Three model tiers are used deliberately, each matched to the cognitive load of the task:
Data sent to the Claude API is processed by Anthropic and is not retained for model training, per their published commercial terms. All customer data is stored in Australia (AWS Sydney, ap-southeast-2). Full data-handling details are in our security overview and privacy policy.
The agentic framework.The six AI Advisors aren't a single model with different prompts. Each runs as an independent agent with a distinct system prompt, defined area of expertise and access to the analytical frameworks relevant to its discipline. They work through your scan and workshop responses sequentially during the workshop, their findings are reconciled by an automated quality reviewer and a senior strategist signs off on every paid deliverable before release.
Meet the six AI Advisorsfor detail on each persona's background, focus areas and the kinds of questions they specialise in.
Your role in the analysis. The initial industry classification is inferred from public web data, ABN registration and your website content. Industry-level taxonomies are imperfect: an organisation with a niche focus, a peak body or a government agency by portfolio area can land in the wrong category. After your scan completes, you can confirm or correct the classification on the AI Disruption Snapshot page; the peer benchmarks, dimension scores and headline disruption score are re-run against your corrected category. The narrative summary refreshes when you next progress to AI Strategy.
Every AI Strategy engagement is reviewed and signed off before your deliverables are released. This isn't a platform that runs unattended: a senior strategist reads what the AI Advisors produce, checks it against your context and stands behind it with a signed cover letter.
For methodology questions, guided sessions or partnership conversations, get in touch. We respond within one business day.