Both AI consultancies and AI MVP studios claim to help you build AI products. The outcome you get from each is dramatically different. Consultancies sell strategy; studios sell shipped code. This guide maps the real differences so you can choose correctly for your stage.
Disclosure: SpeedMVPs publishes this comparison and is one of the options compared.
The Comparison
AI Consultancy
Strategic advisory firms, including the AI arms of large management consulting firms, that deliver strategy documents, roadmaps, architecture recommendations, and proof-of-concept demos. Engagements typically start at $50k–$300k.
- Strong fit for large enterprises allocating multi-year AI budgets
- Board-level narrative and risk analysis before any code is written
- Vendor-neutral evaluation of AI platforms (Azure OpenAI vs AWS Bedrock vs Google Vertex)
- Documentation trail for regulated industries requiring architecture review
- Deliverable is a deck, not production code
- Engagements start at $50k–$300k for strategy phases alone
- 3–4 month timeline before any code is written
- Requires a separate vendor to actually build the product
- Optimized for enterprise timelines, not startup speed
AI MVP Studio (SpeedMVPs)
Execution-focused studios that ship production AI MVPs in 2–3 weeks at fixed price. SpeedMVPs starts where consultancies stop: working, deployed code with full source ownership transferred to you at close.
- Working, deployed application: not a recommendation for one
- Fixed-price delivery: know total cost before signing
- 2–3 week timeline to a production-ready MVP
- 100% source code ownership transferred at close
- AI engineers who build with LLMs, vector DBs, and agents every day
- Narrow scope: not right for multi-year enterprise platform strategy
- Smaller team than a large consultancy; capacity is finite
- Optimized for shipping, not for board-level governance documentation
- Best for startups and innovation teams, not heavily regulated enterprise rollouts
Cost, timeline, and deliverable comparison
| Factor | MVP Approach | Alternative |
|---|---|---|
| Strategy phase cost | Studio: included in build scope | Consultancy: $50k–$300k before code |
| Build timeline | Studio: 2–3 weeks to production | Consultancy: 3–6 months to first line of code |
| Primary deliverable | Studio: working deployed application | Consultancy: roadmap, architecture deck, POC demo |
| Code ownership | Studio: 100% to client | Consultancy: IP typically retained or shared |
| Team profile | Studio: AI engineers with LLM/agent experience | Consultancy: generalists, fewer hands-on engineers |
| Success metric | Studio: shipped product, live users | Consultancy: stakeholder satisfaction with strategy |
| Best fit | Studio: pre-seed to Series A, innovation teams | Consultancy: Series B+ enterprise platform investments |
Key Takeaways
- If you are pre-seed or seed stage and need a working AI product to show investors or customers, choose an AI MVP studio.
- If you are Series B+ and need to justify a multi-million AI platform investment to a board, a consultancy may be the right first step.
- The hidden cost of consultancy-first is time: 3–4 months of strategy before any code means competitors ship while you plan.
- AI MVP studios measure success by whether the product ships on time. Consultancies measure by stakeholder satisfaction with the strategy.
- Most founders reading this guide are in the studio category: pre-revenue, need speed, need code, not slides.
Who should choose which
Pre-seed / seed founder
AI MVP studio: you need traction, not a strategy deck. Fixed-price means no runway surprises.
Series B+ enterprise
Consultancy first for platform strategy and risk assessment, then studio or internal team for execution.
Corporate innovation team
Studio to validate the AI use case fast; consultancy to get board sign-off on the broader programme.
Non-technical founder
Studio is safer: fixed scope, fixed price, no T&M exposure to consultancy hourly rates.
Investor / partner
Prefers studio output (live users, code base) over consultancy output (slides). Funds traction, not strategy.