Engagement 02

2+ weeks · ₹2,00,000+

AI MVP Build

One AI workflow. Production-ready. In weeks.

An AI MVP is not a demo notebook. We ship one high-value workflow end-to-end: ingestion, model path, operator UI, deploy, and a clear definition of done.

Core AI system + dashboard

  • 01

    A live AI system your team can operate

  • 02

    Evidence that the workflow works on real inputs, not toy data

  • 03

    A base you can extend into a full product without a rewrite

Best for

  • 01Funded startups validating an AI wedge
  • 02Teams that need a production proof, not a slide deck
  • 03Founders who can name one workflow and one success metric

Out of scope

  • Multi-product platforms, billing, or multi-tenant SaaS (see Full Product Build)
  • Heavy ERP / multi-department workflows (see Enterprise Platform)
  • Open-ended research with no ship target
  • Unlimited feature additions mid-sprint without a change order

What you get

01

Core AI system

  • Single primary workflow (e.g. generate, classify, extract, summarize, or agent step)
  • Prompt / model configuration with a basic eval or acceptance set
  • Error handling, retries, and logging for the happy path and common failures
02

Operator surface

  • Dashboard or console to run, review, and re-run jobs
  • Auth for your team (invite-only or simple role)
  • Status, history, and export of outputs where relevant
03

Ship package

  • Production deploy (your cloud or ours, agreed in the spec)
  • Environment config, secrets handling, and runbook
  • Handoff docs: architecture, how to operate, how to change prompts

Scope of work

  1. 01

    Scope lock

    We force one workflow, one user, one done state before code starts.

    • Discovery call + written MVP spec
    • Input types, success metric, and acceptance criteria
    • List of integrations required for v1 (usually 0–1)
  2. 02

    Build

    Focused sprint on the pipeline and the operator UI that makes it usable.

    • Pipeline / agent path implementation
    • Dashboard and job lifecycle
    • Eval set or sample corpus for acceptance
    • Weekly check-ins on a shared board
  3. 03

    Deploy & handoff

    You own the repo and the running system from day one of handoff.

    • Production deploy and smoke tests
    • Docs + walkthrough
    • Optional maintenance retainer for model and prompt drift

How it runs

  1. I

    Discovery

    One workflow, one metric, constraints.

  2. II

    Spec + quote

    Fixed scope, timeline, and price in writing.

  3. III

    Build sprint

    Pipeline + dashboard with weekly visibility.

  4. IV

    Ship

    Deploy, docs, handoff. Optional retainer.

Payment

50% upfront, 30% at milestone, 20% on delivery.

  1. 01

    50%

    Upfront

    Due to start the build

  2. 02

    30%

    Milestone

    Due at the agreed mid-build checkpoint

  3. 03

    20%

    Delivery

    Due on ship and handoff

Related work

Other engagements

Ready to scope this?

Tell us the workflow, constraints, and timeline. We’ll come back with a written plan.

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