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Kompella Technologies

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.

The AI Build Sprint is 4 weeks at a fixed price of $18,000. Ganesh plus senior KT engineers pick one AI use case, prove it on de-identified data, and ship it live for real users by week 4, plus a 90-day AI roadmap. You pay 50% at signing and 50% after the week-2 prototype demo. It is for Seed to Series B healthtech, fintech, and SaaS teams with an engineering team and no senior AI lead.

The four weeks

One use case. Decided, proved, built, and shipped.

The team on the sprint is Ganesh plus senior KT engineers (Kompella Technologies). The work happens in your repo and your cloud, with your engineering team.

  1. 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).

  2. 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.

  3. 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.

  4. 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.

Open the checklist →

How it works

Call, proposal, signing, four weeks, then the review.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

Pricing

4 weeks. Fixed price $18,000.

50% at signing and 50% after the week-2 prototype demo. Model API usage, cloud, and vendor licenses are third-party costs. You pay those directly.

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

FAQ

Questions buyers ask before signing the sprint.

4 weeks, fixed price $18,000. You pay 50% at signing and 50% after the week-2 prototype demo. Third-party costs (model API usage, cloud, vendor licenses) are not in the fee. You pay those vendors directly. If repo, cloud, or data access slips, the clock pauses and the price does not change.
One AI feature live for real users, plus a 90-day AI roadmap. The week-4 handover also includes a handover pack and a board or investor one-pager. The roadmap has 3 measurable outcomes. The sprint covers one use case, not a program of them.
Seed to Series B healthtech, fintech, and SaaS companies that have an AI feature on the roadmap or in the board deck that is not live yet, or that is live and nobody trusts. You have an engineering team, in-house or vendor, and no senior AI leadership, and you can fund $8K to $25K a month of technical leadership after the sprint. It is not for idea-stage companies with no team, or "add a chatbot" requests with no business owner.
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, which you pay directly. Work outside your own repo and cloud.
Repo and cloud access, one named product owner, and sample data. The path is a call, a proposal within 2 working days, then signing. The sprint itself is 4 weeks, then a week-4 review where the retainer is proposed. If access slips, the clock pauses and the price does not change.
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. The retainer is month to month with 30 days' notice. The retainer is a team engagement, never one seat. The 90-day roadmap has 3 measurable outcomes, and the retainer is the plan to deliver them.
Advisory is $8K a month: roadmap ownership, eval and cost review, architecture calls, and vendor and hiring decisions. Fractional is $15K a month: Advisory plus embedded leadership of the AI roadmap and the team. Embedded is $25K a month: Fractional plus a KT engineering pod shipping the next AI features. When you are ready, we help you hire a full-time lead and step back to advisory.
Week 1 picks one model, Claude, GPT, Gemini, or open source, on quality, latency, cost, and compliance. The decision memo names the risks that apply, including HIPAA, SOC 2, PCI, and DPDP where they are relevant. The prototype in week 2 runs on real, de-identified data. The production build includes guardrails, human-in-the-loop review, logging, and cost tracking.

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.

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