Discover
We sit with the people who do the work, map your data and systems, and hand you a ranked list of AI use cases with a business case for each. Including the ones you should not build.
Typical situations, not quotes from clients.
Most AI budgets are wasted before a line of code is written, by picking the wrong problem. The Sprint exists to pick the right one.
We interview 6 to 12 stakeholders and run 2 to 3 working workshops. We spend time with your support agents, underwriters, accountants, plant supervisors or store managers. Not just leadership. We watch the real workflow, count the volumes and time the steps.
Where the data lives (Tally, SAP, Zoho, Salesforce, core banking, Excel on a shared drive), how clean it is, who owns it, and what the DPDP Act and your regulator allow you to do with it.
Each use case scored on value, feasibility, risk and time to first result. Each one gets a rough business case: what it saves or earns, what it costs to build, and what it costs to run each month.
The Sprint is the Discover step. It takes 2 to 3 weeks.
Kick-off with the sponsor. Interviews with 6 to 12 stakeholders, and the first of 2 to 3 working workshops with the teams. System and data walkthroughs with IT.
We turn what we heard into a long list, then score it. We test the top ideas against samples of your real data so the feasibility score is not a guess.
Read-out to leadership. A recommended first pilot, written up with its success metric, evaluation set and fixed price, ready for the Prove step if you choose to go ahead.
You are under no obligation to build anything with us afterwards.
The Sprint itself is measured on decisions, not activity. We agree with you at the start that it will produce:
A shortlist of three to five use cases, each with a value estimate you can check against your own numbers.
A clear “do not build” list, with the reason for each item.
One pilot defined well enough to sign: scope, success metric, evaluation set, timeline and price.
If the Sprint finds that a rule, a report or a spreadsheet solves your problem better than AI, the roadmap will say so.
Indicative price
₹1.5 lakh to ₹5 lakh
excluding GST.
The price depends on how many teams and processes are in scope. A single-function Sprint sits at the lower end. A multi-division Sprint sits at the upper end. You get a fixed price in writing before we start.
40% advance, the balance on delivery of the read-out, due within 15 days of invoice. If you sign a pilot with us within 60 days of the read-out, 50% of the Sprint fee is credited against it. If any external tools or cloud usage are needed for data tests, they are passed through at cost plus a 10% handling margin when we hold the accounts (no margin if you pay the providers directly).
No. The roadmap and pilot proposal are yours. You can build it in-house, with your IT vendor, or with us.
Then we say so, and we tell you what to fix first. Often that is data quality or access, and the fix is cheaper than any AI project.
Usually no. We work with samples or anonymised extracts. If personal data is needed, we sign an NDA and a data processing agreement first and work inside your environment.
Yes. Many Sprints focus on one function, such as customer support or finance operations. A narrower scope costs less and moves faster.
A founder leads every Sprint, with an engineer for the data and systems work.
A 30-minute call with a founder. We will tell you whether a Sprint is worth it for you, and if not, what is.
