AI Proof of Concept in 15 Days
Validate your AI idea with a working prototype — not a feasibility study. Our 15-day AI Sprint delivers a functional proof of concept you can demo, test, and use to make real decisions.
$9,000. 15 days. A working AI prototype.
The Smartest AI Investment You Can Make
Most AI projects fail not because the technology doesn't work — but because teams build the wrong thing, for too long, with too much budget committed upfront.
An AI proof of concept changes the equation:
Validate before you commit
Know whether AI solves your specific problem with your actual data — before spending $100K+ on a full build.
Get stakeholder buy-in
A working demo is worth a thousand slides. Show your board, your customers, or your investors what AI looks like in your product.
De-risk your roadmap
Discover technical blockers, data quality issues, and integration challenges in 15 days — not 6 months into a project.
Inform your architecture
The proof of concept becomes the blueprint for your production system. Every technical decision is grounded in what actually works.
What's Included in Our AI Proof of Concept
A Working Prototype (Not a Mockup)
A browser-accessible AI application that demonstrates your use case with real or representative data. Functional enough to test with users and demo to stakeholders.
Technical Feasibility Report
Honest assessment of what works, what doesn't, and what would need to change for production. Model performance benchmarks, latency measurements, and cost projections.
Architecture Recommendations
How to take this from prototype to production. Technology choices, infrastructure requirements, data pipeline design, and estimated timelines for a full build.
Common AI Proof of Concept Projects
Intelligent Document Processing
Prove that AI can extract, classify, and route information from your documents — invoices, contracts, support tickets, medical records — with the accuracy your business requires.
AI-Powered Search & Retrieval
Demonstrate that natural language search over your internal knowledge base, documentation, or product catalog delivers results that keyword search can't match.
Agentic Workflow Automation
Build an AI agent that handles a specific business process end-to-end — customer onboarding, data reconciliation, report generation — and measure the time savings.
Predictive Analytics
Show that your historical data can predict outcomes that matter — churn risk, demand forecasting, maintenance needs — with enough accuracy to drive decisions.
LLM-Powered Product Features
Prototype an AI feature for your existing product — summarization, recommendations, content generation, conversational interface — and test it with real users.
AI Proof of Concept vs. AI MVP — What's the Difference?
| Proof of Concept (15 Days) | MVP (30 Days) | |
|---|---|---|
| Goal | Validate feasibility | Ship to real users |
| Output | Working prototype + feasibility report | Production-deployed application |
| Data | Representative/sample data | Connected to real data sources |
| Infrastructure | Development environment | Production infrastructure with CI/CD |
| Users | Internal demo | Early adopters / beta users |
| Investment | Starting at $9,000 | Starting at $9,000 (Phase 2) |
Most clients start with a proof of concept, then move to a full MVP build once the approach is validated. This two-phase approach is the most capital-efficient way to build AI products.
Ready to Validate Your AI Idea?
15 days. $9,000. A working AI proof of concept that tells you everything you need to know before committing a larger budget.
Start Your AI Sprint
AI Proof of Concept — FAQ
What is a proof of concept in AI?
An AI proof of concept is a small-scale, functional prototype that validates whether a specific AI approach works for your use case. It answers the question "can AI solve this problem?" with working software rather than theoretical analysis.
How long does an AI proof of concept take?
Our AI Sprint delivers a working proof of concept in 15 days. Some complex use cases may require additional time, which we'll identify during the scoping phase.
How much does an AI proof of concept cost?
Our AI Sprints start at $9,000 CAD.
What happens after the proof of concept?
You decide. Most clients move to a 30-day production build (Phase 2). Some take the feasibility report and architecture recommendations to build internally. Either way, you have everything you need.
Do I need to prepare data before we start?
Ideally, yes — but we can work with sample or synthetic data if your production data isn't ready. We'll discuss data requirements during the scoping call.
What if the proof of concept shows AI won't work for my use case?
That's a valid and valuable outcome. You'll have saved months and hundreds of thousands of dollars. We'll recommend alternative approaches if they exist.