Imaduddeen Khan
See the 15 wins

For branch heads, RM teams, treasury & capital-markets ops

Your branch staff are filing paperwork that AI now does in 30 seconds.

From KYC stacks to trade reconciliations to RM productivity, AI compresses entire ops floors into supervised workflows. These are 15 places I deploy AI inside Indian banks, NBFCs, broking houses and AMCs — without rebuilding your core systems.

₹37.80 L / year saved
For a branch / nbfc ops unit · math shown below
Calculations are for this size of business
Type
Branch / NBFC ops unit
Annual turnover
₹10–30 Cr book size
Team size
15–40 ops + RMs
Locations
1–3 branches

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
KYC AITrade reconciliationRM copilotCompliance reportingCustomer service
Imad Khan · AI Automation

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

If this sounds like your week

Your branch is staffed by graduates spending eight hours a day on data entry. They will leave. AI won't.

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

Account opening still drags through 4 days because of manual KYC, V-CIP, signatures.

Loan files reviewed line-by-line by credit officers — bottleneck on every disbursement.

Treasury reconciliations crash through month-end with 3 AM Excel battles.

Customer service calls a same-issue loop: balance, cheque book, mandate, statement.

RMs spend 60% of their week on prep, not in front of customers.

Suspicious transaction reports prepared by hand — costly fines if missed.

551 hrs
Hours wasted today
team time / month
81 hrs
Hours after AI
470 hrs returned
₹3.15 L
Monthly cost saved
82% reduction
₹37.80 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 ₹700/hr. The headline savings of ₹37.80 L/year at the top of the page are these per-task savings scaled down to the branch / nbfc ops unit described above. If your business is larger, multiply; if smaller, divide.

01 · Onboarding

Account opening, V-CIP & document KYC

Traditional way

Branch staff verifies Aadhaar, PAN, address, signs forms, books V-CIP slot.

  • • Time: 35 min × 50 cases / day
  • • Volume: ≈ 1,250 / month
  • • Total: 729 hrs / month
AI way (what I build)

Self-serve flow: liveness, doc OCR, CKYC pull, e-sign, V-CIP if mandated; staff only handles exceptions.

  • • Time: 5 min × 1,250
  • • Human in loop: Branch officer signs
  • • Total: 105 hrs / month
Saves 624 hrs & ₹4,24,800 every month — (729 hrs × ₹700 → 105 hrs × ₹700 + ₹12,000 tools)
What you'll feel

Account active in 30 minutes, not 3 days. Branch traffic shifts to advisory.

729h
manual / mo
105h
with AI / mo
₹5,10,300
costs you now
₹4,24,800
back in your pocket
02 · Credit

SME / retail loan file underwriting

Traditional way

Credit officer reads ITR, GSTR, bank statement, project report, builds CAM manually.

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

Agent extracts financials from ITR / GSTR / bank statement, computes ratios, drafts CAM with risk notes.

  • • Time: 20 min × 200
  • • Human in loop: Credit officer signs every CAM
  • • Total: 70 hrs / month
Saves 730 hrs & ₹5,00,000 every month — (800 hrs × ₹700 → 70 hrs × ₹700 + ₹11,000 tools)
What you'll feel

TAT to sanction collapses. NPAs improve because flags surface earlier.

800h
manual / mo
70h
with AI / mo
₹5,60,000
costs you now
₹5,00,000
back in your pocket
03 · Compliance

STR / CTR / FATCA reporting prep

Traditional way

AML team reviews flagged txns, builds STR PDFs, files via FINnet.

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

Engine ranks alerts using behavioural patterns, drafts STR with narrative, attaches evidence.

  • • Time: auto + 10 min/case
  • • Human in loop: Compliance officer signs
  • • Total: 12 hrs / month
Saves 48 hrs & ₹27,100 every month — (60 hrs × ₹700 → 12 hrs × ₹700 + ₹6,500 tools)
What you'll feel

False positives shrink, real risks surface, regulator audits get easier.

60h
manual / mo
12h
with AI / mo
₹42,000
costs you now
₹27,100
back in your pocket
04 · Reconciliation

Nostro / inter-system / trade recon

Traditional way

Ops compares files from CCIL, NPCI, custodian, internal — break investigation by hand.

  • • Time: 200 hrs / month
  • • Volume: ops floor
  • • Total: 200 hrs / month
AI way (what I build)

Recon engine matches at txn level, classifies break causes, suggests journal entries, drafts confirmations.

  • • Time: auto
  • • Human in loop: Ops investigates exceptions
  • • Total: 35 hrs / month
Saves 165 hrs & ₹1,07,000 every month — (200 hrs × ₹700 → 35 hrs × ₹700 + ₹8,500 tools)
What you'll feel

Month-end stops being a war room. Auditor stops shouting.

200h
manual / mo
35h
with AI / mo
₹1,40,000
costs you now
₹1,07,000
back in your pocket
05 · Customer service

Tier-1 customer service across IVR, app, WA, branch

Traditional way

Same questions: balance, cheque book, mandate, statement, last txn — handled by humans.

  • • Time: 3 min × 1,000 / day
  • • Volume: ≈ 25,000 / month
  • • Total: 1250 hrs / month
AI way (what I build)

Voice + WA agent handles tier-1 fully with secure auth, escalates only complex grievances.

  • • Time: auto
  • • Human in loop: Tier-2 humans
  • • Total: 200 hrs / month
Saves 1050 hrs & ₹7,20,500 every month — (1250 hrs × ₹700 → 200 hrs × ₹700 + ₹14,500 tools)
What you'll feel

AHT drops, IVR drop-off shrinks, branch queues actually thin out.

1250h
manual / mo
200h
with AI / mo
₹8,75,000
costs you now
₹7,20,500
back in your pocket
06 · RM copilot

Relationship Manager prep & meeting notes

Traditional way

RM pulls statements, MF holdings, life events, prepares per-client decks; notes scribbled.

  • • Time: 1.5 hr × 60 meetings / month
  • • Volume: ≈ 60
  • • Total: 90 hrs / month
AI way (what I build)

Copilot drafts pre-meeting brief, post-call summary, next-best-action; auto-logs to CRM.

  • • Time: 10 min × 60
  • • Human in loop: RM personalises
  • • Total: 10 hrs / month
Saves 80 hrs & ₹51,500 every month — (90 hrs × ₹700 → 10 hrs × ₹700 + ₹4,500 tools)
What you'll feel

RM spends 2× more time face-to-face. Wallet share grows.

90h
manual / mo
10h
with AI / mo
₹63,000
costs you now
₹51,500
back in your pocket
07 · Lending ops

Borrower communication & follow-up

Traditional way

Ops calls/mails borrowers for missing docs, renewals, EMI bounces.

  • • Time: 200 calls / day @ 3 min
  • • Volume: ≈ 5,000 / month
  • • Total: 250 hrs / month
AI way (what I build)

Voice + WA bot handles routine follow-ups in regional language, escalates real cases.

  • • Time: auto
  • • Human in loop: Recovery for hard cases
  • • Total: 40 hrs / month
Saves 210 hrs & ₹1,41,500 every month — (250 hrs × ₹700 → 40 hrs × ₹700 + ₹5,500 tools)
What you'll feel

EMI bounce recoveries climb; collection cost per file falls.

250h
manual / mo
40h
with AI / mo
₹1,75,000
costs you now
₹1,41,500
back in your pocket
08 · Trade ops

Trade-finance LC / BG document checking

Traditional way

Trade ops checks LC docs against UCP 600 manually; discrepancies cost money & time.

  • • Time: 90 min × 120 files / month
  • • Volume: ≈ 120
  • • Total: 180 hrs / month
AI way (what I build)

Agent reads BL, invoice, packing list, insurance against LC terms; flags discrepancies with UCP cite.

  • • Time: 10 min × 120
  • • Human in loop: Trade officer signs
  • • Total: 24 hrs / month
Saves 156 hrs & ₹1,02,700 every month — (180 hrs × ₹700 → 24 hrs × ₹700 + ₹6,500 tools)
What you'll feel

Discrepancy rate drops; corporate clients renew limits with you.

180h
manual / mo
24h
with AI / mo
₹1,26,000
costs you now
₹1,02,700
back in your pocket
09 · Markets

Equity research note drafting

Traditional way

Analysts read filings, transcripts, build models, write notes manually.

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

Agent ingests filings + transcripts, builds first-draft model & note; analyst critiques & adds view.

  • • Time: 5 hrs × 8
  • • Human in loop: Analyst signs every note
  • • Total: 40 hrs / month
Saves 120 hrs & ₹75,500 every month — (160 hrs × ₹700 → 40 hrs × ₹700 + ₹8,500 tools)
What you'll feel

Analysts cover more names without burning out.

160h
manual / mo
40h
with AI / mo
₹1,12,000
costs you now
₹75,500
back in your pocket
10 · Surveillance

Trade surveillance & insider pattern detection

Traditional way

Compliance reviews exception reports manually; many alerts unactioned.

  • • Time: 80 hrs / month
  • • Volume: compliance
  • • Total: 80 hrs / month
AI way (what I build)

Pattern model ranks risky behaviour by trader, instrument, timing; drafts case files.

  • • Time: auto + review
  • • Human in loop: Compliance signs
  • • Total: 15 hrs / month
Saves 65 hrs & ₹38,500 every month — (80 hrs × ₹700 → 15 hrs × ₹700 + ₹7,000 tools)
What you'll feel

SEBI inspections become a victory lap, not a fire drill.

80h
manual / mo
15h
with AI / mo
₹56,000
costs you now
₹38,500
back in your pocket
11 · Cross-sell

Cross-sell to existing customer base

Traditional way

Marketing sends generic SMS / mail; RMs hand-pick lists.

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

Model finds next-best-product per customer, drafts personalised journey, books RM call.

  • • Time: auto
  • • Human in loop: RM closes
  • • Total: 10 hrs / month
Saves 50 hrs & ₹29,500 every month — (60 hrs × ₹700 → 10 hrs × ₹700 + ₹5,500 tools)
What you'll feel

Cross-sell ratio climbs; existing book funds growth.

60h
manual / mo
10h
with AI / mo
₹42,000
costs you now
₹29,500
back in your pocket
12 · Collections

Early-bucket collections & soft-recovery

Traditional way

Tele-collectors call delinquents in bucket-1; many lose patience and quit.

  • • Time: 300 calls / day @ 3 min
  • • Volume: ≈ 7,500 / month
  • • Total: 375 hrs / month
AI way (what I build)

Voice agent calls in regional language with empathy scripts; escalates only hard cases.

  • • Time: auto
  • • Human in loop: Hard cases to humans
  • • Total: 60 hrs / month
Saves 315 hrs & ₹2,12,500 every month — (375 hrs × ₹700 → 60 hrs × ₹700 + ₹8,000 tools)
What you'll feel

Bucket-1 cures climb. Soft-recovery cost per case drops sharply.

375h
manual / mo
60h
with AI / mo
₹2,62,500
costs you now
₹2,12,500
back in your pocket
13 · Disclosures

RBI / SEBI / BCBS reporting drafts

Traditional way

Reg-reporting team prepares quarterly/monthly returns from many systems.

  • • Time: 180 hrs / month
  • • Volume: reg returns
  • • Total: 180 hrs / month
AI way (what I build)

Reporting engine pulls data, drafts XBRL / templates, flags variance vs prior period.

  • • Time: auto + 30 min review
  • • Human in loop: CRO signs
  • • Total: 30 hrs / month
Saves 150 hrs & ₹97,500 every month — (180 hrs × ₹700 → 30 hrs × ₹700 + ₹7,500 tools)
What you'll feel

Compliance breathes again. Audit findings shrink.

180h
manual / mo
30h
with AI / mo
₹1,26,000
costs you now
₹97,500
back in your pocket
14 · Internal knowledge

Branch-staff product / process bot

Traditional way

Branch staff calls helpdesk for product details, charges, exceptions.

  • • Time: scattered ≈ 60 hrs / month
  • • Volume: across branches
  • • Total: 60 hrs / month
AI way (what I build)

RAG bot trained on circulars, product wordings; staff get cited answers in seconds.

  • • Time: instant
  • • Human in loop: Helpdesk for true edges
  • • Total: 10 hrs / month
Saves 50 hrs & ₹30,500 every month — (60 hrs × ₹700 → 10 hrs × ₹700 + ₹4,500 tools)
What you'll feel

Mis-selling drops because staff actually know the product.

60h
manual / mo
10h
with AI / mo
₹42,000
costs you now
₹30,500
back in your pocket
15 · Analytics

COO / CRO live dashboard

Traditional way

MIS team prepares board-pack monthly, surprises in CR.

  • • Time: 120 hrs / month
  • • Volume: MIS
  • • Total: 120 hrs / month
AI way (what I build)

Live dashboard: deposit/loan growth, NPA migration, fee income, NPS, ops SLAs — daily digest.

  • • Time: auto
  • • Human in loop: Leadership decides
  • • Total: 18 hrs / month
Saves 102 hrs & ₹65,900 every month — (120 hrs × ₹700 → 18 hrs × ₹700 + ₹5,500 tools)
What you'll feel

Strategy meetings stop being archaeology and start being decisions.

120h
manual / mo
18h
with AI / mo
₹84,000
costs you now
₹65,900
back in your pocket

The honest math

₹37.80 L back every year.
5638 hours your team gets to live again.

Add a one-time build of ₹1.80 L and a small monthly run-cost of ₹6,600 for tools. Payback shows up in 1 months. Everything after that is profit.

WhatsApp Imad now See Imad's portfolio
One-time build
₹1.80 L
Monthly run-cost
₹6,600
Monthly savings
₹3.15 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 branch heads, RM teams, treasury & capital-markets ops actually ask

Frequently asked questions

Q.Is AI safe for KYC and credit decisions in regulated finance?

Yes — when designed correctly. AI is used to extract, verify, and pre-score; final approval stays with the human officer with a full audit trail. We follow RBI digital-lending norms and DPDP guardrails.

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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