Typical starting point
- An idea or working demo needs to be turned into a professional product.
- An MVP built with AI tools demonstrates the business value, but not yet a robust product architecture.
- Before approving a budget or commissioning the work, you need a target vision, implementation slices, and effort ranges.
- It is unclear which parts of the prototype can be reused.
- Product scope, quality requirements, and technical decisions have not yet been prioritized together.
Blueprint objective
The Blueprint connects the demo’s visible behavior with the product you actually need. It makes assumptions, quality requirements, and technical uncertainties explicit, then turns them into an incremental implementation plan.
The result is not a deceptively precise fixed-price estimate for the entire implementation. It is a reliable basis for planning and investment, with transparent effort ranges.
Aligning the demo with product scope
The analysis separates demonstrated features from the required product scope. Key user flows, integrations, data responsibilities, operational requirements, and relevant quality goals are prioritized together.
Target architecture and system boundaries
You receive a technical target vision for the relevant components, responsibilities, data flows, and integrations. The architecture is made as concrete as needed for implementation decisions and meaningful work packages.
Reuse and build-or-buy
For important prototype parts, we determine whether they should be adopted, hardened, refactored, or replaced. For interchangeable capabilities, sensible build-or-buy decisions are documented along with their assumptions and consequences.
Incremental implementation slices
The Blueprint breaks product implementation into steps that are useful to the business and technically verifiable. Dependencies, risks, and early validation determine the sequence—not a generic division by technical layers.
What you receive
- Alignment between the demo and the actual product scope.
- Prioritized user flows and quality requirements.
- Target architecture and relevant system boundaries.
- Decisions about reusable prototype parts.
- Documented build-or-buy decisions.
- Incremental implementation slices with dependencies.
- Required roles and capabilities.
- Effort ranges with assumptions and uncertainties.
- A prioritized handoff backlog and a joint review of the results.
Prerequisites and scope
You will need a description of the target product, available demo or repository versions, the most important user flows, known integrations, and accessible business and technical contacts. Scope and level of detail are agreed upon before work begins.
Boundaries
- No deceptively precise fixed-price or delivery-date guarantee for complete product development.
- No complete implementation of the target product.
- No ongoing product leadership or staff augmentation.
- No preliminary detailed audit of every prototype part; if its technical viability is unclear, start with the AI Prototype Architecture Review.
- No legal, privacy, or licensing advice.
An internal team or another agency can implement the Blueprint. Later implementation is not part of the standard format.