Foundation · Custom AI Blueprint

Stop guessing. Start with the math.

A 2–6 week engagement where an AI Solutions Architect and an AI Engineer plug into your operation, map where AI can actually create value, and hand you a build-ready plan — with or without us.

The plan, the math, and the architecture — yours to keep.

Every Custom AI Project starts here, but the Blueprint stands on its own. You leave with a complete plan you can hand to any engineering team — including your own.

2–6 weeks
Architect + engineer embedded
3-way ROI
Conservative · expected · aggressive
Build-ready
Spec, architecture, work breakdown

What's actually in your hands
at the end.

Five documents and (often) a working artifact. Each one battle-tested across 60+ deployments.

01

Business case + opportunity ranking

Every opportunity in your business, sorted by ROI. Current-state pain mapped. Stakeholders. Risks. Change management. Success metrics — all in one executive-ready document.

02

A three-scenario ROI model

Conservative, expected, and aggressive projections with the math shown. No black-box outputs. Your CFO can pressure-test every number.

03

A comprehensive requirements spec

User journeys per persona, functional + non-functional requirements, UX flows, integration points, data + privacy constraints, and acceptance criteria. Everything a build team needs.

04

The technical architecture package

C4 system diagrams, BPMN workflow diagrams, end-to-end data flows, API specs, the data model, and the infrastructure topology. Production-grade artifacts, not napkins.

05

A work breakdown + sprint plan

Phases with entry and exit criteria, milestones with dependencies, sprint-level work packages traceable back to the spec, a resource plan, a risk register, and a communication cadence.

06

Often: a working POC or wiki

For the highest-ROI opportunity, we usually ship something real — a working proof-of-concept, an internal wiki, or a minimum viable build. Real proof, not slides.

How the Blueprint runs.

Two to six weeks. Two senior practitioners embedded in your operation. Weekly readouts, never radio silence.

01

Diagnose

Week 1
+

We embed with your operators — not just leadership. We trace workflows at the task level, map where data lives and where it dies, and identify every opportunity AI could affect.

  • Operator shadowing
  • Workflow tracing
  • Data + tool inventory
  • Opportunity catalog
02

Model the math

Week 2–3
+

Every viable opportunity gets ROI modeled three ways. We pressure-test assumptions with your finance team. We rank by impact, not novelty. By end of this phase, the highest-leverage build is obvious — and defensible.

  • Three-scenario ROI
  • Finance pressure-test
  • Ranked opportunities
  • Success metrics
03

Design the system

Week 3–5
+

For the prioritized opportunity, we design the full system — requirements, UX flows, integrations, the technical architecture, the data model. The spec is detailed enough to hand to any competent engineering team.

  • Full requirements spec
  • C4 + BPMN diagrams
  • API + data model
  • Acceptance criteria
04

Plan the build

Week 5–6
+

Work breakdown structure, sprint plan, resource allocation, risk register, and communication cadence. You leave with a build-ready plan and (usually) a working POC for the top opportunity.

  • Sprint-level plan
  • Resource + risk plan
  • Working POC or wiki
  • Build-ready handoff

Is this the right fit?

Right for you if...

  • You've identified one or more areas where AI might create real value, but want the math before committing.
  • You're willing to invest mid-five-figures to de-risk a much larger build downstream.
  • You want a deliverable that can stand alone — even if you decide to build it elsewhere.
  • Your operators are willing to spend a few hours on workflow mapping with our team.

Maybe not yet if...

  • You haven't yet aligned your exec team on AI — start with the Workshop first.
  • You're hoping for a quick three-page memo or a sales deck.
  • You're looking for tool recommendations, not a custom plan.

Ready to become
AI-Native?

Book a 30-minute conversation. We'll map the highest-leverage workflows in your business and tell you whether AI is the right answer.