OptimusWay

AI Solutions

AI Blueprint Sprint

Design architecture, data models, and security scope before development — for AI and classic software projects alike.

  • 9 yearsBuilding software since 2017
  • 1,431Projects delivered
  • 99.95%SLA on managed infrastructure
  • NestJS · pgvectorProduction AI stack we run daily

01

For whom

Founders without a technical co-founder, product teams before a dev RFP, and companies about to invest in AI or custom software who need a credible technical spec first.

02

Sprint process (2–3 weeks)

A structured engagement — not open-ended consulting — that ends with documents you can hand to an internal team or vendor.

  • Discovery workshop + 20 critical architecture questions
  • Data model and integration map
  • Security and compliance scope (PII, retention, access)
  • Technology stack recommendation with trade-offs
  • Delivery roadmap and effort estimates

03

Deliverables

Technical specification, architecture diagram set, and implementation backlog — ready for development kickoff or investor due diligence.

FAQ

Common questions

What does OptimusWay deliver for AI Blueprint Sprint?

Production-grade AI systems: RAG pipelines, vector search with pgvector, LLM orchestration, and optional managed operations — scoped in writing before build starts.

How long does an AI engagement take?

Blueprint and audit sprints run 2–3 weeks. Full build projects use two-week demo cycles; timeline depends on scope defined in the technical specification.

How do we start?

Book a 30-minute scoping call. We map your stack, risks, and goals — then propose a sprint or fixed project quote within days.

Tell us what you are building

30-minute scoping call — we map your situation and propose a sprint or project scope.

Written scope before build
Two-week demo cadence
NestJS + PostgreSQL stack
99.95% SLA on managed ops
[email protected]

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