Studio Blueprint builds deterministic diagnostic engines. No product uses AI to generate its analysis. Every figure, risk score, maturity assessment, and structural finding is computed from rules derived from three decades of consulting practice and direct observation of what works and what fails.
This page explains the methodology behind the Consultancy Blueprint, the AI Operations Assessment, and the CRM & Customer Maturity diagnostic. It does not reveal the scoring algorithms or weighting rules, which are proprietary. It describes the thinking behind each tool so that users understand what they are getting and why it works the way it does.
Every financial figure in the output is computed from the user's specific inputs. Revenue targets, client counts, monthly burn rates, runway calculations. All derived, never assumed.
The diagnostic uses deterministic logic for all assessments. The same inputs always produce the same outputs. There is no randomness, no generative content, and no hallucinated figures.
The engine is designed to surface structural problems, not to validate decisions already made. If the model does not work, the diagnostic says so clearly and explains why.
A composite score from 0 to 100 measuring the structural viability of the consultancy model you are building.
Where you come from shapes what you can build. Someone leaving a holding company faces different structural challenges than someone leaving a consultancy or an in-house role. The engine maps these patterns: the advantages your background creates and the blind spots it introduces.
The shape of what you are building determines its structural requirements. A lifestyle practice serving three clients has fundamentally different economics from a growth-oriented agency targeting enterprise accounts. The engine identifies tensions between ambition and model.
Enterprise clients create long sales cycles and payment terms that strain cash flow. SME clients require volume that demands marketing spend. The engine computes the specific financial implications of your market choice and tests whether your runway can absorb the acquisition timeline.
Most consultancies that fail do so because of cash flow, not capability. The engine computes monthly burn rate, revenue requirements, client acquisition targets, and runway in weeks. It models the gap between when costs begin and when revenue arrives.
How you intend to work determines your capacity ceiling. The engine assesses whether your approach to AI augmentation and your operational structure can deliver the output volume your revenue target requires.
A composite score from 0 to 100. Not a prediction of success. A measure of structural viability: how well the configuration you have described holds together as a system.
A high Reality Index means the financial model is internally consistent, the market choice aligns with the revenue target, the runway can absorb the likely sales cycle, and the operating model can deliver what the client type demands.
The free diagnostic gives you the Reality Index, a financial summary, and the top structural risks. The premium blueprint (30+ pages, £59) extends this into actionable territory: financial projections, failure mode scenarios, pricing frameworks, AI tool stack recommendation, and a 90-day execution roadmap.
Every section uses only the figures computed from your answers. Two founders with different configurations will receive fundamentally different blueprints.
A composite maturity score from 0 to 100 measuring how well an organisation manages AI as a business capability.
Value realisation, deployment maturity, risk exposure, governance and controls, shadow AI visibility, workforce impact, and strategic positioning. Each assessed through targeted questions that map to specific criteria.
Responses are scored on a four-level maturity scale:
No capability exists. The organisation has not begun to address this area.
Early, ad-hoc efforts. Some awareness but no consistent process or governance.
Structured processes in place. Consistent execution with room for optimisation.
Mature, optimised capability. Continuous improvement embedded in operations.
Criteria scores are averaged within their sub-capability. Sub-capability scores are weighted by operational dependency. Governance is a prerequisite for sustainable deployment. A low score in a foundational dimension has more impact than a low score in a downstream dimension.
A composite maturity score from 0 to 100 measuring how well an organisation manages CRM as a business capability rather than a software tool.
The seven dimensions: CRM strategy and business alignment, customer data foundation, platform architecture and integration, adoption and operational usage, governance and ownership, customer value and revenue impact, and personalisation and predictive intelligence.
Scores are weighted to reflect operational dependency. Customer data foundation (18%) and CRM strategy alignment (16%) carry the highest weights because they constrain every other dimension. Personalisation intelligence carries the lowest weight (10%) because it depends on every other capability being mature first.
The Forge applies the same principles to any methodology you bring. Define your dimensions, set your scoring bands, and the engine applies deterministic logic identically to the diagnostics above. AI assists with question design and answer extraction. It never determines a score.
See how The Forge works →Understanding the methodology is not the same as knowing your number.
Most people who read this page now understand how the engines work. Very few have run their own diagnostic. The difference between understanding methodology and holding your number is the gap where structural problems persist unmeasured.
Run the Consultancy Blueprint diagnostic →