Imaduddeen Khan
See the 15 wins

For ISP founders, telecom NOCs & enterprise connectivity teams

Your customer churn isn't because of network. It's because of how you handle the ticket about the network.

From plan recommendations to outage explanations to enterprise SLA reports, AI lets a small ops team deliver carrier-grade service. These are 15 telecom & ISP workflows I rebuild with AI for Indian operators.

₹26.85 L / year saved
For a regional isp / managed-services provider · math shown below
Calculations are for this size of business
Type
Regional ISP / managed-services provider
Annual turnover
₹3–8 Cr / year
Team size
15–40 NOC + support
Locations
1 NOC + 1–3 PoPs

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
NOC copilotCustomer chatOutage commsField-tech AISLA reporting
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 connectivity. Your customers experience confusion.

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

Customers call NOC for outages — NOC has to repeat status 200 times.

Field engineers spend 30% of the day on the phone, not on towers.

Plan upgrades / downgrades take days because of manual back-end edits.

Enterprise SLA reports compiled in Excel monthly — clients angry.

Ticket categorisation done by humans; same ticket re-classified 3 times.

Cable / fibre cuts identified late because alarms drown in noise.

709 hrs
Hours wasted today
team time / month
108 hrs
Hours after AI
601 hrs returned
₹2.24 L
Monthly cost saved
79% reduction
₹26.85 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 ₹400/hr. The headline savings of ₹26.85 L/year at the top of the page are these per-task savings scaled down to the regional isp / managed-services provider described above. If your business is larger, multiply; if smaller, divide.

01 · Customer chat

Tier-1 customer support

Traditional way

CS reps handle plan info, slowness complaints, recharge issues, address change.

  • • Time: 4 min × 400 calls/day
  • • Volume: ≈ 10,000 / month
  • • Total: 666 hrs / month
AI way (what I build)

Voice + WA bot handles tier-1 with secure auth; escalates to humans for true outages or refunds.

  • • Time: auto
  • • Human in loop: Tier-2 humans
  • • Total: 100 hrs / month
Saves 566 hrs & ₹2,17,900 every month — (666 hrs × ₹400 → 100 hrs × ₹400 + ₹8,500 tools)
What you'll feel

Wait time drops from 6 min to instant. NPS climbs.

666h
manual / mo
100h
with AI / mo
₹2,66,400
costs you now
₹2,17,900
back in your pocket
02 · Outage comms

Outage communication & ETA

Traditional way

NOC posts to social, mass SMS, but individual calls flood in.

  • • Time: scattered ≈ 80 hrs / month
  • • Volume: across team
  • • Total: 80 hrs / month
AI way (what I build)

When alarm fires, agent identifies impacted geos, sends per-customer message with cause + ETA on WA.

  • • Time: auto
  • • Human in loop: NOC reviews critical comms
  • • Total: 12 hrs / month
Saves 68 hrs & ₹22,700 every month — (80 hrs × ₹400 → 12 hrs × ₹400 + ₹4,500 tools)
What you'll feel

Customer rage subsides. Refund tickets fall.

80h
manual / mo
12h
with AI / mo
₹32,000
costs you now
₹22,700
back in your pocket
03 · Field tech

Field engineer dispatch & guidance

Traditional way

Dispatcher assigns tickets manually; tech drives to wrong tower.

  • • Time: 8 min × 80 dispatches/day
  • • Volume: ≈ 2,000 / month
  • • Total: 267 hrs / month
AI way (what I build)

Optimiser routes tech with ticket context, parts, history; AI assistant guides on-site troubleshooting.

  • • Time: auto
  • • Human in loop: Dispatcher handles edge
  • • Total: 40 hrs / month
Saves 227 hrs & ₹84,300 every month — (267 hrs × ₹400 → 40 hrs × ₹400 + ₹6,500 tools)
What you'll feel

First-time-fix climbs. Truck rolls per ticket falls.

267h
manual / mo
40h
with AI / mo
₹1,06,800
costs you now
₹84,300
back in your pocket
04 · Alarms

NOC alarm correlation & noise reduction

Traditional way

Engineer chases every alarm; many false positives.

  • • Time: 15 hrs / shift × 30
  • • Volume: ≈ 450 hrs
  • • Total: 450 hrs / month
AI way (what I build)

Correlation engine groups alarms by root cause, suggests action, suppresses noise.

  • • Time: auto
  • • Human in loop: Engineer acts on root cause
  • • Total: 80 hrs / month
Saves 370 hrs & ₹1,39,500 every month — (450 hrs × ₹400 → 80 hrs × ₹400 + ₹8,500 tools)
What you'll feel

MTTR drops sharply. Engineers stop burning out on noise.

450h
manual / mo
80h
with AI / mo
₹1,80,000
costs you now
₹1,39,500
back in your pocket
05 · Plan changes

Plan upgrade / downgrade / port-in

Traditional way

CS rep manually edits CRM, billing, IPTV — multi-system juggle.

  • • Time: 8 min × 200 changes/day
  • • Volume: ≈ 5,000 / month
  • • Total: 666 hrs / month
AI way (what I build)

Self-serve flow with auth; AI executes across systems and confirms.

  • • Time: auto
  • • Human in loop: Humans for billing edge
  • • Total: 100 hrs / month
Saves 566 hrs & ₹2,19,900 every month — (666 hrs × ₹400 → 100 hrs × ₹400 + ₹6,500 tools)
What you'll feel

Customers get changes in minutes, not days.

666h
manual / mo
100h
with AI / mo
₹2,66,400
costs you now
₹2,19,900
back in your pocket
06 · Enterprise SLA

Enterprise SLA reports

Traditional way

Account manager compiles uptime + ticket reports per client monthly.

  • • Time: 4 hrs × 40 enterprise clients
  • • Volume: monthly
  • • Total: 160 hrs / month
AI way (what I build)

Auto SLA report from probes + tickets + maintenance windows; sent to client.

  • • Time: auto + 1 hr review
  • • Human in loop: Account manager signs
  • • Total: 18 hrs / month
Saves 142 hrs & ₹51,800 every month — (160 hrs × ₹400 → 18 hrs × ₹400 + ₹5,000 tools)
What you'll feel

Clients renew because reports are credible and timely.

160h
manual / mo
18h
with AI / mo
₹64,000
costs you now
₹51,800
back in your pocket
07 · Network planning

Local growth / coverage planning

Traditional way

Planner uses Excel + maps to plan new POPs / towers.

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

Demand model overlays leads, churn, competition, civic permissions; suggests sites.

  • • Time: auto + review
  • • Human in loop: CTO signs site list
  • • Total: 10 hrs / month
Saves 50 hrs & ₹14,500 every month — (60 hrs × ₹400 → 10 hrs × ₹400 + ₹5,500 tools)
What you'll feel

Capex goes where ARPU actually lives.

60h
manual / mo
10h
with AI / mo
₹24,000
costs you now
₹14,500
back in your pocket
08 · Compliance

DOT / TRAI compliance reporting

Traditional way

Compliance officer prepares filings manually.

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

Engine pulls usage / quality / fault data, drafts filings, alerts owners.

  • • Time: auto + 5 hr
  • • Human in loop: Compliance signs
  • • Total: 6 hrs / month
Saves 24 hrs & ₹6,600 every month — (30 hrs × ₹400 → 6 hrs × ₹400 + ₹3,000 tools)
What you'll feel

Penalty notices stop. Audits get easier.

30h
manual / mo
6h
with AI / mo
₹12,000
costs you now
₹6,600
back in your pocket
09 · Billing

Bill disputes & adjustments

Traditional way

CS rep checks usage logs, computes prorated refunds, adjusts bill.

  • • Time: 10 min × 100 disputes/day
  • • Volume: ≈ 2,500 / month
  • • Total: 416 hrs / month
AI way (what I build)

Agent investigates dispute against usage logs, drafts adjustment with explanation.

  • • Time: auto + 2 min review
  • • Human in loop: Supervisor approves > ₹X
  • • Total: 60 hrs / month
Saves 356 hrs & ₹1,37,400 every month — (416 hrs × ₹400 → 60 hrs × ₹400 + ₹5,000 tools)
What you'll feel

Disputes close in minutes, not weeks. Trust metrics climb.

416h
manual / mo
60h
with AI / mo
₹1,66,400
costs you now
₹1,37,400
back in your pocket
10 · Acquisition

Local lead capture & onboarding

Traditional way

Tele-callers convert leads from ads / referrals; many lost in week 1.

  • • Time: 4 min × 150 leads/day
  • • Volume: ≈ 3,750 / month
  • • Total: 250 hrs / month
AI way (what I build)

WA agent qualifies, books install, sends e-KYC + payment link, hands off only confirmed.

  • • Time: auto
  • • Human in loop: Sales for high-ARPU plans
  • • Total: 40 hrs / month
Saves 210 hrs & ₹79,000 every month — (250 hrs × ₹400 → 40 hrs × ₹400 + ₹5,000 tools)
What you'll feel

Cost per new connection drops. Time to first revenue shrinks.

250h
manual / mo
40h
with AI / mo
₹1,00,000
costs you now
₹79,000
back in your pocket
11 · Quality

Per-customer link quality monitoring

Traditional way

Engineer eye-balls dashboards; many silent QoS drops missed.

  • • Time: 15 hrs / week
  • • Volume: 4 weeks
  • • Total: 60 hrs / month
AI way (what I build)

Anomaly detection on per-link RX/TX/loss, drafts proactive alert + free credit.

  • • Time: auto
  • • Human in loop: Engineer acts on real issues
  • • Total: 8 hrs / month
Saves 52 hrs & ₹16,800 every month — (60 hrs × ₹400 → 8 hrs × ₹400 + ₹4,000 tools)
What you'll feel

Customers find out you fixed it before they noticed it broke.

60h
manual / mo
8h
with AI / mo
₹24,000
costs you now
₹16,800
back in your pocket
12 · Renewals

Renewal & winback campaigns

Traditional way

Marketing sends generic offers; conversion poor.

  • • Time: 20 hrs / month
  • • Volume: marketing
  • • Total: 20 hrs / month
AI way (what I build)

Personalised offers per usage, NPS, payment history; tracked and tuned.

  • • Time: auto
  • • Human in loop: Marketing reviews
  • • Total: 4 hrs / month
Saves 16 hrs & ₹2,900 every month — (20 hrs × ₹400 → 4 hrs × ₹400 + ₹3,500 tools)
What you'll feel

Churn drops by a few points. Revenue compounds.

20h
manual / mo
4h
with AI / mo
₹8,000
costs you now
₹2,900
back in your pocket
13 · Knowledge

Internal NOC / field engineer Q&A bot

Traditional way

Junior engineers call seniors for OLT, ONT, BNG, OSPF questions at night.

  • • Time: scattered ≈ 40 hrs / month
  • • Volume: across team
  • • Total: 40 hrs / month
AI way (what I build)

RAG bot trained on vendor docs, RFCs, SOPs; cited answers in seconds.

  • • Time: instant
  • • Human in loop: Seniors for nuance
  • • Total: 6 hrs / month
Saves 34 hrs & ₹10,100 every month — (40 hrs × ₹400 → 6 hrs × ₹400 + ₹3,500 tools)
What you'll feel

Night-shift quality stops depending on who is on duty.

40h
manual / mo
6h
with AI / mo
₹16,000
costs you now
₹10,100
back in your pocket
14 · Vendor

Vendor RFP & rate-card analysis

Traditional way

Procurement evaluates vendor quotes, builds comparison.

  • • Time: 20 hrs × 4 RFPs/quarter
  • • Volume: amortise → 27 hrs / month
  • • Total: 27 hrs / month
AI way (what I build)

Agent extracts line items, normalises specs, builds TCO comparison.

  • • Time: 3 hrs × 4 / quarter
  • • Human in loop: Procurement signs
  • • Total: 4 hrs / month
Saves 23 hrs & ₹6,200 every month — (27 hrs × ₹400 → 4 hrs × ₹400 + ₹3,000 tools)
What you'll feel

You buy smarter, faster.

27h
manual / mo
4h
with AI / mo
₹10,800
costs you now
₹6,200
back in your pocket
15 · Analytics

CXO live dashboard

Traditional way

MIS pulls reports weekly; CXO acts late.

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

Live dashboard: ARPU, churn, MTTR, NPS, ticket SLA — daily WA digest.

  • • Time: auto
  • • Human in loop: CXO decides
  • • Total: 4 hrs / month
Saves 26 hrs & ₹7,400 every month — (30 hrs × ₹400 → 4 hrs × ₹400 + ₹3,000 tools)
What you'll feel

CXO leads with daily numbers, not monthly surprises.

30h
manual / mo
4h
with AI / mo
₹12,000
costs you now
₹7,400
back in your pocket

The honest math

₹26.85 L back every year.
7207 hours your team gets to live again.

Add a one-time build of ₹1.12 L and a small monthly run-cost of ₹4,400 for tools. Payback shows up in 1 months. Everything after that is profit.

WhatsApp Imad now See Imad's portfolio
One-time build
₹1.12 L
Monthly run-cost
₹4,400
Monthly savings
₹2.24 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 ISP founders, telecom NOCs & enterprise connectivity teams actually ask

Frequently asked questions

Q.Can AI triage NOC alarms?

Yes. AI clusters duplicate alarms, predicts the likely root cause, and drafts an incident note — engineers act on signal, not noise.

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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