4 weeks, fixed price $18,000
AI Build Sprint
One AI feature live for real users by week 4, plus a 90-day AI roadmap. For Seed to Series B healthtech, fintech, and SaaS teams that have an engineering team and no senior AI leadership.
Week 1
Decide
Audit the current product, data, and AI stack. Pick one AI use case on ROI versus risk. Choose the model (Claude, GPT, Gemini, or open source) on quality, latency, cost, and compliance. Deliverable: a written decision memo covering use case, model, architecture, success metric, and risks (HIPAA, SOC 2, PCI, DPDP where relevant).
Week 2
Prove
Build the golden dataset and eval harness before the feature. A working prototype on real, de-identified data. Deliverable: the eval harness in the repo, baseline scores, and a prototype demo to leadership.
Week 3
Build
The production build with your team, covering integration, guardrails, human-in-the-loop review, logging, and cost tracking. Deliverable: the feature behind a flag in staging, with evals running in CI.
Week 4
Ship
Release to a real user group, watch the evals and cost, fix issues, and write governance notes for procurement and investors. Deliverable: the feature live for real users, a 90-day AI roadmap, a handover pack, and a board or investor one-pager.
Before you book
Free 12-point AI Engineering Audit checklist
A free read on the current stack before a sprint is the right next step.
- 01
Strategy call
A call to look at the feature on the roadmap or in the board deck, the team you already have, and whether a 4-week sprint is the right shape. We say so either way.
- 02
Proposal
A written proposal within 2 working days of the call. It names the commercial terms: 4 weeks, fixed price $18,000, 50% at signing and 50% after the week-2 prototype demo.
- 03
Signing and kickoff
We need repo and cloud access, one named product owner, and sample data. If access slips, the clock pauses and the price does not change.
- 04
Four sprint weeks
Decide, Prove, Build, Ship. The team is Ganesh plus senior KT engineers, working in your repo and your cloud, with your engineering team.
- 05
Week-4 review
The feature is live for real users, and you have a 90-day AI roadmap with 3 measurable outcomes. This is the review where the retainer is proposed.
AI Build Sprint
$18,000
4 weeks, fixed price
One AI feature live for real users by week 4, plus a 90-day AI roadmap. If you sign a retainer within 14 days of the week-4 review, 50% of the sprint fee ($9,000) is credited across the first 3 months of the retainer.
Follow-on retainers
The 90-day roadmap has 3 measurable outcomes, and the retainer is the plan to deliver them. It is a team engagement, never one seat. Month to month with 30 days' notice. When you are ready, we help you hire a full-time lead and step back to advisory. Ongoing AI leadership after the sprint is a Fractional AI Officer engagement, on these tiers.
Advisory
$8K a month
Roadmap ownership, eval and cost review, architecture calls, and vendor and hiring decisions.
Fractional
$15K a month
Advisory plus embedded leadership of the AI roadmap and the team.
Embedded
$25K a month
Fractional plus a KT engineering pod shipping the next AI features.
Need help thinking this through? Book a 30-min call.
Who this is for
The feature is already on the roadmap. It is not live, or nobody trusts it.
You have an engineering team and no senior AI leadership. You can fund $8K to $25K a month of technical leadership after the sprint. If that is the company, the sprint is the way to get one feature into real users' hands.
- Seed to Series B healthtech, fintech, and SaaS companies
- An AI feature on the roadmap or in the board deck that is not live yet
- An AI feature that is live and nobody trusts
- An engineering team, in-house or vendor, and no senior AI leadership
- Budget for $8K to $25K a month of technical leadership after the sprint
Not a fit
Two requests we turn down.
- Idea-stage companies with no team
- "Add a chatbot" requests with no business owner
Out of scope
One use case, in your repo. Nothing else is in the $18,000.
- More than one AI use case
- Training or fine-tuning foundation models
- Rebuilding the core product, or non-AI backlog work
- Data labelling at scale, regulatory filings, and hiring done for you
- Third-party costs (model API usage, cloud, vendor licenses), which you pay directly
- Work outside your own repo and cloud
One feature, live in 4 weeks.
Fixed price $18,000. 50% at signing and 50% after the week-2 prototype demo. Proposal within 2 working days of the call.
Book a Free 30-Min Strategy Call →