AI PoC Cost
AI proof-of-concept cost in 2025: validate a use case in two to four weeks without committing to production build.
What drives Cost
AI PoC pricing exists to de-risk a real decision. A focused PoC with one workflow, one dataset, and a demo UI ships for eight to twenty thousand. A broader PoC across multiple use cases or departments runs thirty to fifty thousand. The tiers below reflect PoCs that actually produce a go or no-go decision - not vanity demos that die in the deck.
- 01Number of use cases under test
- 02Dataset availability and cleanliness
- 03Evaluation rigor
- 04Demo UI depth
- 05Stakeholder interview time
- 06Reusability of code for production
Typical pricing tiers
- Single workflow
- One dataset
- Demo app
- Decision memo
- 2-4 use cases compared
- Evaluation matrix
- Shared demo UI
- Cost and ROI model
- Security review
- Data-residency PoC environment
- Stakeholder workshops
- Pilot plan
No surprise line items
Every engagement is scoped against a written statement of work. Changes are logged weekly and priced transparently. You always know where the number is going before it gets there.
A statement of work with deliverables, acceptance criteria, and a timeline before we start.
Every scope change is logged and priced within a week of being raised. No end-of-quarter surprises.
You own the code, prompts, weights, and infra-as-code. Standard work-for-hire clauses, no lock-in.
Runbooks, architecture diagrams, and a support retainer so your team can take it from here.
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Pricing questions
Is PoC code reusable in production?
Yes. We write PoCs with the same patterns as production - no throwaway spaghetti.
What deliverable do we get?
A working demo, a decision memo with numbers, and a go-forward build plan.
What if the PoC fails?
Failing cleanly is a success. You save six-figure spend on a use case that would not have worked.
Can we run multiple vendor PoCs in parallel?
Yes. We often benchmark against two or three vendor options side by side.
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