AI Integration Sprint

Ship Your AI Feature Into Production in 28 Days

Fixed scope. Fixed price. If it's not live in your product in 28 days, you don't pay.

Book a 15-minute call

For Series A/B B2B SaaS teams that have committed to an AI feature and need it shipped, not researched.

You told your board AI was on the roadmap. Your team is heads-down on the core product. The AI feature has been "two weeks away" for three months — and every week it slips, a competitor closes the gap.

What you get in 28 days

  • A retrieval pipeline tuned against your actual data
  • A vector store configured for your scale — pgvector, Pinecone, or your existing stack; we work with what you have
  • Auth and per-tenant permissions wired into your existing identity layer, so users only retrieve what they're allowed to see
  • An evaluation harness so your team can measure retrieval quality and catch regressions before users do
  • Integration into one user-facing surface in your product
  • Full documentation and a 90-minute handoff so your engineers own it the day we leave
Out of scope: agents, fine-tuning, model training, and new UI surfaces beyond the one scoped on day one. Tight scope is what makes the timeline real.

Price & guarantee

Price $25,000 flat

Billed 50% to start / 50% on ship. No hourly billing, no scope creep, no surprise invoices.

Guarantee

If the feature is not live in your production environment 28 days after kickoff, your deposit is refunded in full.

Why us

We've built and debugged this exact stack — vector retrieval, serverless handlers, auth boundaries, and the unglamorous integration work that breaks AI features between a clean demo and a live customer. You're not paying for someone learning on your codebase.

How it works

  1. Week 1 Scope & kickoff

    Lock the data sources, the target surface, and success criteria. Scope is fixed here and does not move.

  2. Week 2 Pipeline

    Stand up retrieval, vector store, and auth-aware filtering against your real data.

  3. Week 3 Quality

    Build the eval harness, tune retrieval, integrate into your product surface.

  4. Week 4 Ship & hand off

    Production deploy, documentation, and a 90-minute handoff to your engineers.

Beyond the sprint

Need something the sprint doesn't cover — agentic workflows, a custom multi-step pipeline, or ongoing AI engineering after launch? We take on a limited number of bespoke engagements. Same principles: tight scope, shipped code, clean handoff.

FAQ

What if our data isn't ready?

We assess data readiness on the kickoff call. If it's a blocker, we tell you before you pay.

We already have engineers — why not build it ourselves?

You can. The sprint exists for teams whose engineers are committed to the core product and where the AI feature keeps slipping. You get a working v1 your team then owns.

What stack do you work in?

We integrate into your existing stack rather than imposing one. Common: Postgres/pgvector, managed vector DBs, Go and Python services, modern auth providers.

What happens after 28 days?

Your engineers own a documented, tested feature. Optional ongoing support is available but never required.

28 days from kickoff, you either have a working feature or your money back.

Book the call