For FPOs, agri input cos, agritech & agri-export businesses
Indian farming has every problem AI was made to solve. We just haven't shown up.
From farmer onboarding to crop advisory in the local language to mandi price intel and procurement, AI helps FPOs, input companies and agritech founders serve farmers at scale. Below are 15 agri workflows I rebuild with AI.
₹4.56 L / year saved
For a farmer producer organisation / agri-input company · math shown below
Calculations are for this size of business
Type
Farmer Producer Organisation / agri-input company
Annual turnover
₹2–8 Cr / year
Team size
10–30 staff serving 1,000–10,000 farmers
Locations
1 head office + 2–6 collection centres
Bigger setup? Multiply the numbers by your scale (e.g. 3 clinics ≈ 3× savings). Smaller? Divide. The ratio of savings to cost stays the same.
Traditional way → AI way, with the math on the table
Every line below is a real workflow I have built or could ship inside 2–6 weeks. The per-task numbers describe a reference setup at the upper end (busy clinic, full QSR week, etc.) using a loaded labour rate of ₹250/hr. The headline savings of ₹4.56 L/year at the top of the page are these per-task savings scaled down to the farmer producer organisation / agri-input company described above. If your business is larger, multiply; if smaller, divide.
01 · Onboarding
Farmer onboarding & KYC
Traditional way
FPO field officer fills paper form; data entry days later.
• Time: 20 min × 30 farmers/day × 25 days
• Volume: ≈ 750 / month
• Total: 250 hrs / month
AI way (what I build)
Field officer captures photo + voice; AI fills form, validates land record, syncs to ledger.
You'll be hiring an engineer who already shipped this.
The same systems described above — agentic workflows, document extraction, voice agents, secure APIs, deployment — are running today inside a logistics company I built for. Not slides. Production.
Production-grade systems
13 modules, real users, real money flowing through them — see the heavy-haul case study.
Industry-aware design
Workflows are designed around how your domain actually moves, not generic ChatGPT wrappers.
Fast turnaround
First working slice in 7–14 days, full build in 2–6 weeks for most workflows.
Honest pricing
Fixed-scope quotes. You see the calculation, the build cost, and the payback month before signing.