AI Sprint. A working AI system shipped to production in two weeks.

Best for

• Replacing one specific manual workflow with an AI system
• Standing up a custom agent or copilot on your data
• Proving out a use case before scaling further

What you get

• ✓Production-deployed AI system in your stack (cloud or self-hosted)
• ✓Source code, prompts, and eval harness — no vendor lock-in
• ✓Monitoring + cost dashboard wired into your existing tooling
• ✓Runbook documenting prompts, fallbacks, and escalation paths
• ✓One round of revisions inside the sprint window
• ✓Walkthrough recordings for your team

How it runs

1. Day 0Free 30-min scoping call. Written scope back inside 24 hours.
2. Day 1Kickoff. Access to data, accounts, and any blocking integrations.
3. Day 5Working demo on your data. We adjust scope based on what we learn.
4. Day 8Production deploy + monitoring. Eval harness running.
5. Day 10Handoff: code, runbook, walkthrough recording, retro.

Not included

We are honest about scope so engagements stay sharp. These items live elsewhere or are deliberately out of scope for this engagement type.

• Ongoing operations or 24/7 on-call (move to Embedded for that)
• Multi-team rollout coordination (do that as a follow-on sprint)
• New product surfaces requiring 6+ weeks of design and engineering

Common questions

• What if the workflow is too big for two weeks?+

  We split it. Most large initiatives become a series of two-week sprints, each one shipping its own production capability. You keep optionality between sprints — pause, redirect, or stop entirely.

• Do you work with our existing engineers?+

  Yes. Most of our best work is co-built. We pair, lead, or just review — and document the patterns so your team keeps shipping after we leave.

• What if we need changes after the sprint ends?+

  You own the code. Your team can iterate, or you can re-engage us for a follow-on sprint at the same fixed-fee model. No retainer required.

Other engagements