01
Use-Case Mapping
Identify high-ROI workflows ready for AI automation.
Service 01
AI Strategy and Implementation in India
Most firms skip the homework. We map the workflows that actually pay, check whether internal data can support them, and write a cost-benefit case before anyone spends on development. This is AI strategy and implementation for operators—not a mural of forty use cases. We do this work for mid-market companies in India that already feel the cost of a stalled program. If the data is personal, DPDP is part of the homework—not a later layer.
Typical duration
3–4 weeks
Typical investment
Starting at ₹4.5L
Led by
Founder, hands-on
Output
Feasibility report + prioritized use-case roadmap
When this is the right engagement
- You have a pile of AI ideas and no ranking by return.
- Data lives in inboxes, PDFs, and six systems nobody trusts.
- Leadership wants a build; finance wants a number first.
- A previous pilot never made it past the demo.
The work
What we actually do
02
Data Readiness
Evaluate if internal data is clean and structured.
03
Feasibility Studies
Build cost-benefit models before clients invest in development.
Cadence
How the weeks go
Week 1
Workflow map and operator interviews
We sit with the people who do the job today and write down the steps, handoffs, exceptions, and cost of being wrong.
Week 2
Data reality check
We inspect whether the records, labels, and access actually exist. If the data cannot support the job, the idea dies on paper.
Week 3
Cost-benefit and a first bet
A written model of cost, return, and kill criteria. You leave with a yes, a no, or a “not now”—not a mural of forty use cases.
What you leave with
- A ranked map of workflows with explicit “no” and “not now”
- A data-readiness note: what is clean, what is missing, what would block a build
- A cost-benefit model for the first bet
- Kill criteria and a ninety-day sequence with owners
What we will not do
This is how you tell a builder from a firm selling AI as a mood. If you need one of these, we are the wrong partner—and we will say so.
- AI transformation roadmaps with no first system
- Vendor bake-offs dressed up as strategy
- Use-case workshops that end in a mural and no owner
- Recommendations we would not staff ourselves
Also
Questions operators actually ask
Questions about this engagement.
How long does AI strategy take in India?
A typical AI strategy and implementation audit for mid-market Indian companies is 3–4 weeks. We map the workflows that actually pay, check data readiness—including DPDP when the records are personal—and write a cost-benefit case. We do not sell a twelve-month transformation roadmap.
What does a strategy engagement cost?
Strategy starts at ₹4.5L. That is a starting range for a 3–4 week founder-led engagement in India, not a quote. Exact fees sit in a statement of work after we know the job.
Do you deliver a list of forty AI use cases?
No. We rank the workflows that will pay and kill the ones that will not. You leave with a first bet, kill criteria, and an owner—not a mural of use cases.
What do we leave with after strategy?
A ranked map of workflows, a data-readiness note, a cost-benefit model for the first bet, and a ninety-day sequence with named owners. If the idea cannot be staffed, it dies on paper.
Tell us the job that already hurts.
We’ll tell you honestly if we can help and what it would take.