The program greenlit the initiatives and set the priority. The blueprint designs them: what each solution does, which models and agents run it, how it integrates, how it’s secured, and what “done” means — one specification a delivery team can implement from without guessing.
Which business objective does the solution support?
How will users interact with it?
Which business process will change?
Which models should be used? Which AI agents are required?
Which workflows should be automated?
What level of autonomy is acceptable — and how do humans stay in the loop?
How will it integrate with existing systems?
Which interfaces, APIs and services are required?
How should data flow through the solution?
How should authentication, permissions and data protection be implemented?
Which compliance requirements must be met, and how is sensitive data protected?
How will success be measured?
Which acceptance criteria must be met before production — and what defines production readiness?
One package — the AI Solution Blueprint — covering the initiatives your program greenlit. Six groups of documents, one build-ready design:
The one document the sponsor who approves the build actually reads: what each solution does, what it costs, when it’s ready — the whole design in a page, without the spec underneath. It’s what turns a hundred-page blueprint into a decision leadership can sign.
What the solution does, from the user’s side.
The decisions a delivery team can’t improvise — model choice, agent boundaries, autonomy, human-in-the-loop, guardrails.
How it’s built and how it connects.
What “good” and “done” mean, in measurable terms.
How it reaches production.
One design document per greenlit initiative, each signed off as its own implementation baseline — here’s one of them. Sample — form, not real data.
Phases 1–4 were the Assessment and the Program — the blueprint continues the same track, one greenlit initiative at a time.
Using the AI Adoption Program as the input, we take each greenlit initiative in turn and refine it into an implementation-ready scope. With business and technical stakeholders we define business objectives, solution scope, users & stakeholders, functional requirements, business rules, success criteria and integration boundaries.
The decision to proceed has already been made — this phase removes the remaining ambiguity before design begins.
Our team develops the Functional Specification, Technical Specification, AI Workflow Design, Solution Architecture, Integration Design, Security Requirements, Non-Functional Requirements and Acceptance Criteria. This is where the whole blueprint is created.
We review the blueprint with business and technical stakeholders and validate the solution against business objectives, architecture, security, integrations and acceptance criteria. Approved documents become the implementation baseline.
No assumptions remain before implementation starts.
Priced from $15,000 — visible on purpose. What stands behind it:
The AI Adoption Program greenlights the initiatives; the blueprint turns them into build-ready specifications. With the baseline approved, implementation begins — models, integrations, infrastructure — by your team or ours.
About implementation →Start with a 30-minute scoping call — or go straight to a proposal. From $15,000, priced for your portfolio.
Normally yes — the blueprint designs initiatives the program already greenlit and prioritized, using its portfolio and roadmap as input. If you arrive with a clearly defined, already-decided initiative, we can scope a blueprint directly — the scoping call sorts that out.
No — deliberately. The blueprint is the design; nothing is implemented. That separation is the point: you approve exactly what will be built, and its cost and criteria, before a delivery team starts.
Anyone competent can. The blueprint is written to be executable by your team, ours, or a third party. That’s what makes it a specification rather than a sales hook.
The portfolio the program greenlit — each initiative gets its own functional and technical design, scoped and priced together. Bundling the pricing doesn’t blur the work: every solution is specified to its own build-ready bar, because each is a distinct system with its own models, integrations and acceptance criteria.
Then the blueprint says so — better here than mid-build. Occasionally the right output is “this needs rescoping” or “a prerequisite isn’t closed yet.” Finding it in design is the cheapest place to find it.
Implementation. The approved blueprint is the baseline a delivery team works from — models, integrations, infrastructure. If you build with us, delivery picks up directly from the package.