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Product

The engine behind every insight.

Finlytix reads unstructured customer conversations, whatever you point it at, and turns them into prioritized operational and compliance intelligence. Here is exactly how.

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How it reads a review

One review, four distinct signals.

A single piece of feedback usually contains more than one issue. Finlytix separates each one out instead of scoring the review as a whole.

Sample review

My HDFC credit card statement showed an interest rate change I was never notified about. When I tried to raise a dispute, the app kept crashing every time I opened the complaints section. I also had to complete a KYC video call that failed twice for no clear reason, and the OTP for resetting my password never arrived, so I couldn't even log back in to check my complaint status.

interest rate change, no notice
Taxonomy
Charge Transparency and Disclosure
SentimentNegative
Confidence94%
Central bank disclosure obligation flagged
app crashes on complaint section
Taxonomy
App Crashes or Malfunction
SentimentStrongly negative
Confidence96%
KYC video call failed twice
Taxonomy
VKYC or Offline KYC Rejection and Mismatch
SentimentNegative
Confidence91%
Central bank identification obligation flagged
OTP never arrived
Taxonomy
Activation and OTP Failure
SentimentStrongly negative
Confidence95%
Central bank access continuity obligation flagged
Extract→ Classify→ Root cause→ Compliance map→ Report
Data, your choice

Start external. Go deeper when you're ready.

No system integration or internal access is ever required. Public signal is the standard starting point, internal data is something you choose to add.

Standard

Public signal

  • App store and play store reviews
  • Public complaint forums and social posts
  • No integration, no internal access required
Optional

Your internal data

  • VOC surveys and complaint exports
  • Support ticket and call log exports
  • Shared as files for the engagement, never live access

Every engagement can run on public signal alone, or public plus whatever internal exports you choose to bring in.

Built for BFSI

A taxonomy that understands banking.

Not generic sentiment categories. A purpose-built label set covering cards, payments, lending, KYC, fraud and app experience. Five examples below.

Fraud_Risk

Fraudulent Transactions or Unauthourised Access

"money was debited without any transaction alert"

KYC_AML

VKYC or Offline KYC Rejection and Mismatch

"video KYC call disconnected twice mid verification"

Cards_Payments

Charge Transparency and Disclosure

"a fee was applied that was never shown at booking"

Lending

EMI Management & Issue Resolution

"EMI deducted twice this month for the same loan"

App_Experience

App Crashes or Malfunction

"app crashes every time I open my statement"

Root cause, mapped to compliance

Not just what broke. Why, and what it's tied to.

Every flagged issue carries its root cause and the specific regulatory obligation it touches, not a generic risk score.

Unauthorized transaction not yet credited back
Operational signal Fraud_Risk
TaxonomyFraudulent Transactions or Unauthourised Access
Sentiment / PolarityNegative · Strongly negative
Root causeFraud reversal pending beyond committed window
Compliance High priority
Regulatory obligationResponsible Business Conduct Directions 2025, Section D, customer liability in unauthorised electronic transactions
Owner attributionFraud Risk Operations
Video KYC call disconnected twice mid verification
Operational signal KYC_AML
TaxonomyVKYC or Offline KYC Rejection and Mismatch
Sentiment / PolarityNegative · Strongly negative
Root causeVKYC session drop during liveness check
Compliance High priority
Regulatory obligationRBI Master Direction on KYC, V-CIP provisions for video based customer identification
Owner attributionKYC and Onboarding Operations
Benchmarking

See where you actually stand.

Complete benchmarking of issues against named peers, where you're ahead and where you're behind, by category, and how that's moved over time.

Every mention gets classified into a category, then scored for polarity, positive, neutral, or negative. The metric below is the negative polarity rate: of every mention in that category, the percentage that carried negative polarity, for your company against three peers you'd choose to benchmark against.

Negative polarity rate by category
Share of category mentions carrying negative polarity, most recent month
Authentication & login
0%25%50%75%100%
You, 58%
Peer A, 39%
Peer B, 44%
Peer C, 51%
Fraud & disputes
You, 44%
Peer A, 47%
Peer B, 36%
Peer C, 42%
KYC & onboarding
You, 62%
Peer A, 35%
Peer B, 40%
Peer C, 33%
Billing & charges
You, 33%
Peer A, 41%
Peer B, 38%
Peer C, 45%
Your company Peer A Peer B Peer C
Flagged issue volume, six month trend
Number of complaints flagged as a negative issue each month, hover a point for detail

Illustrative sample. Real benchmarks are computed per engagement against named peers you select.

What you get

A standing intelligence function, not a one-off study.

Detailed reporting, continuous benchmarking, and regular leadership cadence, run as an ongoing program for your team.

0
Critical issues detected
0
Compliance items flagged
0%
Overall taxonomy confidence
0
Peers benchmarked against

Think of it as an embedded intelligence function for your product and CX teams, always on, reporting on your schedule, not a study that ends when the deck is delivered.

See the full pipeline run on a review from your own product.

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Finlytix

Two ways to work with Finlytix.

Start with a scoped, point-in-time diagnostic. Move to continuous intelligence once customer and operational signal becomes something you monitor, not something you react to.

Start here
Executive Intelligence Report
Point-in-time diagnostic, complete operational analysis
  • Complete operational analysis: issue prioritization, root cause analysis, work order and ownership attribution, estimated impact per issue
  • Built from public signal as standard, plus your internal data if you choose to share it, VOC, tickets, support logs, no system integration required either way
  • Root causes mapped to the specific operational or compliance driver behind each issue
  • Competitive benchmarking against named peers
  • Executive-ready brief
Delivery
  • Single company, complete analysis across the data sources you provide
  • Timeline and pricing reflect data volume, source mix, and depth of customization required

Decision-ready clarity on where the operational and compliance risk actually sits.

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Ongoing
Intelligence Advisory
Ongoing intelligence and decision support
  • 6 months continuous monitoring, same complete analysis refreshed monthly: priority, root cause, ownership attribution, estimated impact
  • Public signal as standard, plus internal data as you choose to bring it in over time
  • Competitive benchmarking maintained on an ongoing basis, not a single snapshot
  • Monthly intelligence briefs on shifts and emerging risks
  • Early-warning indicators with prioritized actions
  • Quarterly leadership reviews focused on priority shifts
Delivery
  • Ongoing advisory, up to 3 products
  • Pricing reflects data volume, source mix, and depth of customization required

Ongoing, decision-grade intelligence for leaders who treat customer and operational signal as a continuous advantage.

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Both engagements are scoped following an initial discovery call. Contact for pricing.

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