2-Week AI MVP Sprint
From concept to live production AI prototype in exactly 14 calendar days.
Engagement Overview & Philosophy
The 2-Week AI MVP Sprint is our signature high-velocity engagement designed to bypass enterprise inertia. In exactly 14 calendar days, our senior engineers take your product hypothesis, design the technical architecture, integrate production-grade LLM models, and deploy a live, testable web or mobile application.
Unlike traditional agency discovery phases that produce theoretical slide decks, our sprint delivers functioning, production-hosted software with complete source code ownership, vector database integration, and strict security guardrails. You walk away with a working platform ready for stakeholder demonstrations, customer trials, or board approval.
Phase-by-Phase Execution Timeline
Architecture, Data Ingestion & Model Wiring
We establish the repository, configure the Next.js 16 front-end and FastAPI microservices, set up the vector database, and ingest initial knowledge corpora.
- Technical architecture schema & database ERD
- Clean vector database cluster (Pinecone/Qdrant) with test embeddings
- Working model routing endpoint with initial prompt guardrails
- Day 7 live engineering demo of end-to-end data pipeline
Generative UI, Testing & Production Cutover
We build out the user interface, implement streaming generative components, conduct security penetration tests, and deploy to a production Vercel edge environment.
- Sub-second streaming generative user interface
- Full adversarial testing report (prompt injection & PII filters)
- Live production URL on your custom domain
- 100% intellectual property transfer and repository handover
Contractual Deliverables & Asset Handover
Startups, Founders, and Enterprise Innovation Leads launching new AI ventures.
Commercial Assurance
Live, tested production deployment within 14 calendar days or an immediate fee rebate.
Ready to Transition from Legacy Operations to Autonomous AI Efficiency?
Schedule a 45-minute confidential architectural consultation with our London Principal AI Architect. We will dissect your bottlenecks, assess feasibility, and outline an actionable implementation roadmap.