Step 01 · Set the context

Tell us about your BFSI operation.

Voice AI creates value across collections, KYC, and customer service tracks. Pick what matters here.

What does your operation handle?

Pick all that apply. Each has different math.

Collections / dunning

Recovery uplift + operational cost reduction. The biggest BFSI lever.

KYC / verification calls

Pure cost reduction, voice AI handles standard verification flows.

Customer service

Balance enquiries, card services, simple disputes. Augment + automate.

Operation size

Headline scale, drives most calculations.

Total agents in voice ops

400

SME bank: 20-100 · Mid bank: 100-800 · Top-tier: 800+

Loaded cost per agent / month

Financial services typically 30-50% higher than generic BPO

Step 02 · Plug in the numbers

Your current performance.

Inputs adapt to the tracks you picked. Voice AI uplifts modeled against your current baseline.

Track · Collections

Your collections book

The accounts currently in active collection or dunning.

Accounts in active collection

50,000

Bank size shorthand: Mid bank 20-80K · Top-tier 100K-500K

Avg outstanding per account

Credit card collections: $2-5K · Personal loan: $5-15K · Mortgage: $50K+

Current recovery rate

22%

Industry typical: 15-30%. Voice AI uplift adds 4-8 percentage points.

Recovery uplift from voice AI (pts)

+5 pts

Benchmark uplift: 3-7 points. Higher with multilingual + 24/7 coverage.

Track · KYC / verification

KYC & verification volume

Voice-based identity, address, employment verification.

KYC calls per month

20,000

Each onboarded customer typically needs 1-2 KYC voice touchpoints

% voice AI can fully automate

70%

Standard KYC flows are highly scriptable, 65-80% automatable

Track · Customer service

Inbound customer service

Balance, card services, simple disputes, account info.

CS calls per month

200,000

% voice AI can handle

45%

Complex CS: 25-40% · Tier-1 CS (balance, status): 50-70%

Realisation rate · Year 1

Real deployments capture 55-75% of theoretical impact in year 1. Adjust to your appetite. The hero number on stage 3 reflects this.

65%

Conservative: 50-60% · Realistic: 60-75% · Aggressive: 80%+. CFOs respect a haircut over heroic numbers.

Step 03 · Projected impact

Here's what voice AI does for your bank.

Each track contributes separately. The recovery uplift typically dominates for banks with active collections.

Year 1 realistic impact

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Total annual impact

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Net of RE platform cost

Payback period

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Including setup

Return on investment

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Annual basis

Where the impact comes from

Collections, agent cost saved

Touchpoint automation × loaded cost

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Collections, recovery uplift

Uplift pts × outstanding book

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KYC automation savings

Automated KYC calls × cost

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Customer service automation

Automated CS calls × cost

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RE platform & deployment cost

Minutes × $0.09 + setup

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Total annual impact

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The single sentence to send your CFO

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Additional debt recovered / yr

—

From recovery rate uplift

—

Agents released to higher-value work

—

Of — total

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Cost per touchpoint

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Current vs blended with RE

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Next step

"Run a 90-minute workshop with our team. Walk away with a deployment plan tailored to your operation."

Book the workshop →