AI Product Strategy & Technical Roadmap
Turn an AI product idea into a concrete, technically realistic plan — what to build, what not to build, where AI creates value, and how it reaches production.
An AI product idea with no realistic technical plan — unsure what to build, where AI actually adds value, which architecture fits, or how it ever reaches production.
AI Product Strategy & Technical Roadmap helps founders turn an AI product idea — or an existing product — into a concrete, technically realistic plan for development. We work across product requirements, AI opportunities, system architecture, LLM and agent strategy, data and integrations, technology selection, MVP scope, team requirements and implementation planning. The goal is to answer the critical questions before development begins: what should be built, what should not, where AI actually creates value, which architecture is appropriate, and how the product should evolve toward production.
- The critical questions answered before you start building.
- A clear line between what to build and what to skip.
- Where AI genuinely creates value, backed by a realistic architecture.
- A development roadmap with team, risks and estimates attached.
A bounded, phased engagement. Each bar below is proportional to its estimated duration on a shared calendar.
Understand product requirements, data, integrations and AI opportunities.
Define MVP scope, system and AI/LLM architecture and the stack.
Deliver the roadmap, team needs, risks and estimates.
Concrete artefacts you keep — delivered in editable, open formats your team owns.
Product & Technical Discovery
The product requirements and technical landscape, understood.
DiscoveryAI Opportunity Analysis
Where AI actually creates value in the product.
AnalysisMVP Scope & Priorities
What to build first — and what to leave out.
ScopeSystem & AI/LLM Architecture
An appropriate system and AI/LLM architecture.
ArchitectureTechnology Stack & Build-vs-Buy
Stack recommendations and where to build or buy.
RecommendationDevelopment Roadmap
A roadmap toward production with team and capability needs.
RoadmapRisks & Implementation Estimates
Major technical risks, mitigations and high-level estimates.
Register
The edges of this engagement, and what we’ll need from you to run it.
- Building the product or the MVP (see R-001).
- Writing production code or models.
- Ongoing technical leadership (see S-007).
- Guarantees of a specific AI model's accuracy.
- The AI product idea or existing product.
- The business goals and target users.
- Access to any data, systems and integrations involved.
- A decision-maker to agree scope and priorities.
Fixed-scope and outcome-priced — one agreed figure for a defined set of deliverables, with no hourly billing.
Fixed-scope engagement; scales with product complexity.
- Fixed scope, agreed before we start — no open-ended hourly billing.
- One figure covers the full set of deliverables listed alongside.
- The number only moves with system complexity, and only by agreement.
- Product & Technical Discovery
- AI Opportunity Analysis
- MVP Scope & Priorities
- System & AI/LLM Architecture
- Technology Stack & Build-vs-Buy
- Development Roadmap
- Risks & Implementation Estimates
Answers to the questions we hear most about this engagement.
Is this for a new idea or an existing product?
Both — we turn an AI product idea or an existing product into a concrete, technically realistic development plan.
Do you build the product?
No — this answers what to build before development begins. The build follows, e.g. as a PoC (R-001) or against an Architecture Design (RE-002).
How is it priced?
A fixed-scope engagement from $9,000, scaling with product complexity.
How is it different from Discovery Phase (RE-006)?
RE-009 is AI-product-specific — LLM/agent strategy, AI architecture and where AI creates value — whereas RE-006 is general product discovery.