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AI WORKFLOW PILOT

Prove one AI workflow before scaling the investment.

Validate one bounded AI-assisted workflow before making a large implementation investment.

3–6 weeksFrom ₹2.5 lakh / $6,000
Review an AI Use Case Discuss your requirement

Who this is for

  • Teams with one repetitive, document- or knowledge-heavy process
  • Leaders who need evidence before approving an AI budget
  • Companies with AI prototypes that lack permissions, evaluation or ownership

The problem it solves

AI experiments often start without approved data, clear permissions or a way to measure quality—so nobody can say whether they are safe or worth scaling.

Business outcome

A working pilot on one workflow, with a reliability report, cost observations and a clear production decision.

Suitable use cases

  • Company-document assistant
  • Customer-support copilot
  • Proposal-drafting workflow
  • Document extraction and classification
  • Lead qualification
  • Recruitment-screening support
  • Operations assistant
  • Reporting and summarisation
  • Approval recommendation
  • Human-reviewed agent workflow

Deliverables

What you receive.

Workflow design

Trigger, steps, exceptions and owners

Working pilot

Bounded functional implementation

Data boundary

Approved sources and access rules

Evaluation set

Representative test scenarios

Reliability report

Successes, failures and limitations

Security notes

Permissions, sensitive data and logs

Cost observations

Model, infrastructure and usage considerations

Production roadmap

What is required for real deployment

Every pilot is bounded by

  • One workflow
  • One defined user group
  • Approved data sources
  • Limited tools and permissions
  • Clear success criteria
  • Evaluation cases
  • Human review where consequential
  • A cost ceiling
  • A production decision date

Not included

  • Production support, unless stated
  • Third-party AI and API usage costs
  • Workflows beyond the one agreed

Delivery process

Typical timeline: 3–6 weeks.

  1. 01

    Select the workflow and success criteria

  2. 02

    Agree the data boundary and permissions

  3. 03

    Build the bounded pilot

  4. 04

    Evaluate against representative cases

  5. 05

    Review results and decide

Starting investment

  • From ₹2.5 lakh
  • From $6,000

Starting price. The exact proposal follows a review of integrations, data, scope, security and team requirements. Taxes are additional as applicable.

Commercial terms

  • 50% before kickoff
  • 30% after the working-pilot review
  • 20% on final handover
  • Third-party AI/API usage billed separately

Your responsibilities

  • A workflow owner and a defined user group
  • Approved access to the data sources
  • Feedback on evaluation cases

Evidence and acceptance

The pilot is accepted against the success criteria and evaluation cases agreed at kickoff.

Demos, internal implementations and client cases are always labelled as such. Read the evidence policy.

Questions

Does the pilot go into production?
A pilot runs in a bounded scope with a defined user group. Production rollout, wider integrations and support are a separate phase described in the roadmap.
Which AI models do you use?
The model is chosen for the workflow's quality, cost and data-handling requirements, and the choice is documented.

Bring one workflow, product or engineering bottleneck.

Review an AI Use Case

Clear scope. Reviewable delivery. Secure handover.

Other ways to start

Delivered with

AI Engineering · Software Engineering · Product Engineering · Cloud and DevOps · Data Engineering · Platform Engineering · Security and Identity · Quality Engineering