Imaduddeen Khan
See the 15 wins

For rooftop solar EPCs, IPPs, energy consultants

You install panels in days. The paperwork takes months. AI fixes the paperwork.

From lead qualification to subsidy applications to DISCOM net-metering and O&M ticketing, AI compresses the bureaucracy that throttles solar adoption in India. Below are 15 plays I deploy for solar EPCs, IPPs and energy consultants.

₹37.51 L / year saved
For a solar epc / energy consultancy · math shown below
Calculations are for this size of business
Type
Solar EPC / energy consultancy
Annual turnover
₹4–12 Cr / year
Team size
10–25 engineers + ops
Locations
1 office + project sites

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.

Talk to Imad on WhatsAppSee the 15 automations
Site survey AISystem sizingSubsidy paperworkDISCOM appsAMC / monitoring
Imad Khan · AI Automation

Built & shipped by Imaduddeen Khan — same engineer behind the heavy-haul AI platform

If this sounds like your week

You sell 100 systems / month. Your subsidy team is the bottleneck — not your installers.

Read it honestly. If even three of these hit, you are bleeding hours and money you will never get back.

Lead qualification uneven; engineers visit unviable rooftops.

System sizing done in Excel — quotes vary by sales rep.

Subsidy applications under PM Surya Ghar take weeks.

DISCOM net-metering apps stuck for 60-90 days.

O&M tickets logged on WA, often forgotten.

Generation reports promised to clients rarely sent.

785 hrs
Hours wasted today
team time / month
125 hrs
Hours after AI
661 hrs returned
₹3.13 L
Monthly cost saved
80% reduction
₹37.51 L
Annual savings
compounds every year

The 15 automations

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 ₹500/hr. The headline savings of ₹37.51 L/year at the top of the page are these per-task savings scaled down to the solar epc / energy consultancy described above. If your business is larger, multiply; if smaller, divide.

01 · Leads

Lead qualification & site shortlisting

Traditional way

Tele-callers ask roof type, bill, location; engineers still visit unviable sites.

  • • Time: 8 min × 100 leads/day
  • • Volume: ≈ 2,500 / month
  • • Total: 333 hrs / month
AI way (what I build)

Bot collects bill image, roof photo, location; AI computes preliminary viability & savings.

  • • Time: auto
  • • Human in loop: Sales calls hot
  • • Total: 50 hrs / month
Saves 283 hrs & ₹1,36,500 every month — (333 hrs × ₹500 → 50 hrs × ₹500 + ₹5,000 tools)
What you'll feel

Engineers visit only viable sites. Cost per closed system drops.

333h
manual / mo
50h
with AI / mo
₹1,66,500
costs you now
₹1,36,500
back in your pocket
02 · Site survey

Rooftop survey from photos

Traditional way

Engineer site visit takes half a day; manual measurements.

  • • Time: 4 hrs × 200 surveys/month
  • • Volume: ≈ 200
  • • Total: 800 hrs / month
AI way (what I build)

AI estimates roof area, shading, tilt from drone / satellite + customer photos.

  • • Time: 30 min × 200
  • • Human in loop: Engineer confirms onsite
  • • Total: 100 hrs / month
Saves 700 hrs & ₹3,42,500 every month — (800 hrs × ₹500 → 100 hrs × ₹500 + ₹7,500 tools)
What you'll feel

Survey cycle drops from days to hours.

800h
manual / mo
100h
with AI / mo
₹4,00,000
costs you now
₹3,42,500
back in your pocket
03 · Sizing

System sizing & quote

Traditional way

Sales engineer fills Excel sizing sheet; quotes inconsistent.

  • • Time: 1 hr × 200 quotes/month
  • • Volume: ≈ 200
  • • Total: 200 hrs / month
AI way (what I build)

Engine takes load, roof, tariff, subsidy; outputs system, BOM, quote, payback.

  • • Time: 10 min × 200
  • • Human in loop: Sales reviews
  • • Total: 33 hrs / month
Saves 167 hrs & ₹79,000 every month — (200 hrs × ₹500 → 33 hrs × ₹500 + ₹4,500 tools)
What you'll feel

Quote-to-customer drops from days to minutes.

200h
manual / mo
33h
with AI / mo
₹1,00,000
costs you now
₹79,000
back in your pocket
04 · Subsidy

Subsidy application (PM Surya Ghar)

Traditional way

Subsidy exec fills portal forms manually for each customer.

  • • Time: 2 hrs × 150 / month
  • • Volume: ≈ 150
  • • Total: 300 hrs / month
AI way (what I build)

Agent pre-fills forms, assembles docs, submits, tracks status, nudges customer for OTPs.

  • • Time: 20 min × 150
  • • Human in loop: Exec signs
  • • Total: 50 hrs / month
Saves 250 hrs & ₹1,19,500 every month — (300 hrs × ₹500 → 50 hrs × ₹500 + ₹5,500 tools)
What you'll feel

Subsidy realisation accelerates by weeks. Cash flow eases.

300h
manual / mo
50h
with AI / mo
₹1,50,000
costs you now
₹1,19,500
back in your pocket
05 · DISCOM

DISCOM net-metering applications

Traditional way

Liaison officer files applications; chases for weeks.

  • • Time: 3 hrs × 150 / month
  • • Volume: ≈ 150
  • • Total: 450 hrs / month
AI way (what I build)

Agent fills DISCOM portal, attaches drawings & docs, tracks, escalates aging.

  • • Time: 30 min × 150
  • • Human in loop: Officer signs
  • • Total: 75 hrs / month
Saves 375 hrs & ₹1,82,000 every month — (450 hrs × ₹500 → 75 hrs × ₹500 + ₹5,500 tools)
What you'll feel

Net-metering days fall from 90 to 30. Customer happiness climbs.

450h
manual / mo
75h
with AI / mo
₹2,25,000
costs you now
₹1,82,000
back in your pocket
06 · Procurement

BOM procurement & vendor PO

Traditional way

Procurement team raises POs to multiple vendors per system.

  • • Time: 1 hr × 150 systems/month
  • • Volume: ≈ 150
  • • Total: 150 hrs / month
AI way (what I build)

Auto-PO from quote BOM; vendor matching by stock, price, lead time.

  • • Time: 10 min × 150
  • • Human in loop: Procurement signs
  • • Total: 25 hrs / month
Saves 125 hrs & ₹59,000 every month — (150 hrs × ₹500 → 25 hrs × ₹500 + ₹3,500 tools)
What you'll feel

Stock-out delays drop. Cash tied in unused inventory shrinks.

150h
manual / mo
25h
with AI / mo
₹75,000
costs you now
₹59,000
back in your pocket
07 · Crew dispatch

Install-crew scheduling

Traditional way

Project manager assigns crews on WA / paper.

  • • Time: 30 hrs / month
  • • Volume: PM
  • • Total: 30 hrs / month
AI way (what I build)

Optimiser assigns crews by skill, geography, system size.

  • • Time: auto + 5 hr
  • • Human in loop: PM approves
  • • Total: 7 hrs / month
Saves 23 hrs & ₹8,000 every month — (30 hrs × ₹500 → 7 hrs × ₹500 + ₹3,500 tools)
What you'll feel

Installations / day climb without bigger team.

30h
manual / mo
7h
with AI / mo
₹15,000
costs you now
₹8,000
back in your pocket
08 · Commissioning

Commissioning checklist & handover

Traditional way

Engineer fills paper handover; signed photo sent on WA.

  • • Time: 1 hr × 150 systems
  • • Volume: ≈ 150
  • • Total: 150 hrs / month
AI way (what I build)

App captures photos, IV curves, tests; AI verifies; handover PDF auto-generated.

  • • Time: 15 min × 150
  • • Human in loop: Engineer signs
  • • Total: 38 hrs / month
Saves 112 hrs & ₹52,500 every month — (150 hrs × ₹500 → 38 hrs × ₹500 + ₹3,500 tools)
What you'll feel

Commissioning quality consistent. Disputes drop.

150h
manual / mo
38h
with AI / mo
₹75,000
costs you now
₹52,500
back in your pocket
09 · Monitoring

Generation monitoring & fault prediction

Traditional way

O&M engineer checks plant logs weekly; faults caught late.

  • • Time: 60 hrs / month
  • • Volume: O&M
  • • Total: 60 hrs / month
AI way (what I build)

Anomaly detection on inverter logs; predicts module / inverter faults.

  • • Time: auto + 8 hr
  • • Human in loop: Engineer dispatched
  • • Total: 12 hrs / month
Saves 48 hrs & ₹19,500 every month — (60 hrs × ₹500 → 12 hrs × ₹500 + ₹4,500 tools)
What you'll feel

Plant uptime climbs. Customer trust climbs.

60h
manual / mo
12h
with AI / mo
₹30,000
costs you now
₹19,500
back in your pocket
10 · AMC tickets

AMC ticketing & site dispatch

Traditional way

Customer messages WA; tickets get lost.

  • • Time: 5 min × 30 tickets/day
  • • Volume: ≈ 750 / month
  • • Total: 62 hrs / month
AI way (what I build)

WA bot logs ticket, requests photos, dispatches engineer with parts.

  • • Time: auto
  • • Human in loop: Coordinator follows
  • • Total: 9 hrs / month
Saves 53 hrs & ₹23,500 every month — (62 hrs × ₹500 → 9 hrs × ₹500 + ₹3,000 tools)
What you'll feel

AMC renewals climb because service is felt.

62h
manual / mo
9h
with AI / mo
₹31,000
costs you now
₹23,500
back in your pocket
11 · RFP

B2B / commercial RFP responses

Traditional way

Sales team builds RFP responses for commercial roof tops manually.

  • • Time: 20 hrs × 8 RFPs/month
  • • Volume: ≈ 8
  • • Total: 160 hrs / month
AI way (what I build)

Agent reads RFP, drafts technical + commercial response from past wins.

  • • Time: 3 hrs × 8
  • • Human in loop: Sales signs
  • • Total: 24 hrs / month
Saves 136 hrs & ₹63,000 every month — (160 hrs × ₹500 → 24 hrs × ₹500 + ₹5,000 tools)
What you'll feel

Win-rate climbs. Sales bandwidth doubles.

160h
manual / mo
24h
with AI / mo
₹80,000
costs you now
₹63,000
back in your pocket
12 · Finance

Loan / financing facilitation

Traditional way

Sales mentions financing options; conversion poor.

  • • Time: scattered ≈ 30 hrs / month
  • • Volume: sales
  • • Total: 30 hrs / month
AI way (what I build)

Engine matches customer to finance partners, fills app, tracks sanction.

  • • Time: auto + 5 hr
  • • Human in loop: Sales closes
  • • Total: 7 hrs / month
Saves 23 hrs & ₹8,000 every month — (30 hrs × ₹500 → 7 hrs × ₹500 + ₹3,500 tools)
What you'll feel

Finance-attached deals climb. Average system size grows.

30h
manual / mo
7h
with AI / mo
₹15,000
costs you now
₹8,000
back in your pocket
13 · RECs

RECs / carbon-credit paperwork

Traditional way

Compliance team applies for RECs / IRECs manually for IPP / commercial.

  • • Time: 30 hrs / month
  • • Volume: compliance
  • • Total: 30 hrs / month
AI way (what I build)

Agent compiles generation, audits, submits applications, tracks issuance.

  • • Time: auto + 5 hr
  • • Human in loop: Compliance signs
  • • Total: 6 hrs / month
Saves 24 hrs & ₹9,000 every month — (30 hrs × ₹500 → 6 hrs × ₹500 + ₹3,000 tools)
What you'll feel

Extra revenue per MWh; reporting burden vanishes.

30h
manual / mo
6h
with AI / mo
₹15,000
costs you now
₹9,000
back in your pocket
14 · ESG

ESG / sustainability reporting

Traditional way

Sustainability team builds GRI / BRSR reports manually.

  • • Time: 60 hrs / quarter
  • • Volume: amortise → 20 hrs / month
  • • Total: 20 hrs / month
AI way (what I build)

Agent assembles indicators from operations, drafts report sections.

  • • Time: auto + 5 hr / month
  • • Human in loop: Sustainability head signs
  • • Total: 5 hrs / month
Saves 15 hrs & ₹4,500 every month — (20 hrs × ₹500 → 5 hrs × ₹500 + ₹3,000 tools)
What you'll feel

BRSR submissions easier. Investor questions get crisp answers.

20h
manual / mo
5h
with AI / mo
₹10,000
costs you now
₹4,500
back in your pocket
15 · Dashboard

Project & portfolio dashboard

Traditional way

Project office builds weekly status; insights stale.

  • • Time: 30 hrs / month
  • • Volume: PMO
  • • Total: 30 hrs / month
AI way (what I build)

Live dashboard: pipeline, installs, subsidies, DISCOM, O&M, financials — daily digest.

  • • Time: auto
  • • Human in loop: CXO decides
  • • Total: 4 hrs / month
Saves 26 hrs & ₹10,000 every month — (30 hrs × ₹500 → 4 hrs × ₹500 + ₹3,000 tools)
What you'll feel

Leadership leads with daily numbers; growth doesn't outpace operations.

30h
manual / mo
4h
with AI / mo
₹15,000
costs you now
₹10,000
back in your pocket

The honest math

₹37.51 L back every year.
7930 hours your team gets to live again.

Add a one-time build of ₹1.51 L and a small monthly run-cost of ₹5,544 for tools. Payback shows up in 1 months. Everything after that is profit.

WhatsApp Imad now See Imad's portfolio
One-time build
₹1.51 L
Monthly run-cost
₹5,544
Monthly savings
₹3.13 L
Payback period
1 mo

Why people remember Imad

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.

Questions rooftop solar EPCs, IPPs, energy consultants actually ask

Frequently asked questions

Q.How does AI help solar EPCs?

AI fills DISCOM and subsidy applications, tracks status, drafts BOQ + DPR, and answers customer queries on WhatsApp — collapsing weeks of paperwork into days.

Next step is small

Send one WhatsApp. Get a free workflow audit.

I'll look at one painful workflow in your business and tell you, in writing, what it would take to automate it. No deck, no obligation.

WhatsApp +91 91251 97678Back to Imaduddeen Khan's portfolio

Built by Imaduddeen Khan · AI Automation Engineer

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