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Methodology

How Trovavo's Financial Operating System works.

No magic. A 23-signal forensic read of your finances, a 4-agent AI pipeline that gates every answer, and a public scorecard you can hold us to. If a draft can't pass the critic, it doesn't ship — full stop.

In plain English

What this means for you.

What it does

Reads your financial data the way a forensic analyst would — checking 23 separate signals across five risk areas — and translates the findings into clear, actionable language powered by your AI guide.

Why it helps you

You stop guessing what's hurting your financial health, which obligation is draining you, and what to do next. Every recommendation is checked by a separate critic agent before you ever see it.

What you get

Your Financial Health Score, Resolution Opportunities, AI-guided communications, and a step-by-step roadmap — explained so you always know the next move.

The 23 parameters

23 signals. Five groups. One verdict.

Most "free credit checks" return a number. A Forensic Audit returns a verdict on each of the twenty-three signals below, plus the exact dispute or restructure action you can take next.

Group 01 · 4 checks

Identity & profile integrity

  • PAN ↔ CIBIL name match

    Exact-string + fuzzy match against PAN database to catch typos that block lender pulls.

  • DOB / gender consistency

    Cross-checked across TransUnion, Experian and Equifax records.

  • Address history vs. KYC trail

    Stale or contradicting addresses flagged as verification drag for new loans.

  • Phone & email linkage age

    How long each contact has been on file — recent changes trigger lender re-verification.

Group 02 · 5 checks

Account-level health

  • Active vs. closed split

    Total open lines, closed lines, and any 'closed' still incorrectly reporting.

  • Secured vs. unsecured ratio

    Exposure mix — too heavy on unsecured hurts pricing across the board.

  • Oldest tradeline age

    Depth of credit history. Closing your oldest card silently lowers the score.

  • Average account age

    Mean age across active lines — a quick proxy for credit maturity.

  • Enquiry density (90d)

    Hard pulls clustered in 90 days flagged as loan-shopping behaviour.

Group 03 · 4 checks

Repayment behaviour

  • DPD heat-map (36 months)

    Every late payment, with lender, amount, and bucket (1–30, 31–60, 60+).

  • Settled / WO / Suit-filed

    Auto-reject triggers at most lenders — surfaced first with exact wording.

  • Restructured / OTS markers

    Post-COVID and current-cycle restructures flagged for narrative repair.

  • Revolver vs. transactor

    Card behaviour pattern — revolvers price worse on new unsecured products.

Group 04 · 4 checks

Utilisation & exposure

  • Aggregate utilisation

    Total balance vs. total limit across all cards — 30% is the safe ceiling.

  • Per-card outliers (>80%)

    Individual cards near limit even when aggregate looks fine.

  • EMI-to-take-home (FOIR)

    Banks reject above 50–55%. We compute against your real net pay.

  • Unsecured leverage

    Unsecured-to-secured ratio — the single biggest driver of personal-loan APR.

Group 05 · 6 checks

Bureau-data hygiene · dispute candidates

  • Duplicate tradelines

    Same loan reported under two lender codes — common after portfolio sales.

  • Stale 'closed' accounts

    Loans you closed years ago still reporting as active or running.

  • Wrong DPD vs. statements

    Bureau says you were late; statements prove you weren't. Letter-ready.

  • Mis-tagged ownership

    Joint loans showing as sole, or vice-versa — affects your borrowing headroom.

  • Enquiries you didn't authorise

    Unrecognised hard pulls flagged for an RBI dispute and bureau takedown.

  • Pre-CIBIL-2.0 legacy flags

    Old defaults that should have aged out but didn't — disputable under current norms.

The pipeline

Four agents. One answer. Critic has veto power.

Step 01

Router

  • Intent classification

    Audit · dispute draft · settlement · restructure — picked by a cheap model.

  • Track selection

    Routes to the right persona and depth tier before any user-facing token is spent.

  • No output to user

    Silent step. Logged for analytics so we can tune intent classes monthly.

Step 02

Specialist

  • The actual draft

    Expert persona — CIBIL auditor, RBI-dispute drafter, settlement strategist, or restructure analyst.

  • Cited reasoning

    Every claim ships with the rule, circular, or statement line it leans on.

  • Token-budgeted

    Bounded output length — no rambling, no fabricated padding.

Step 03

Compliance critic

  • Hard gate

    If a draft can't pass, it doesn't ship. Full stop. The user sees a retry, not a bad answer.

  • Citation verifier

    Refuses fabricated RBI / CIBIL references — every cite is matched against our circular index.

  • Outcome-promise blocker

    Anything implying a guaranteed score bump or settlement is killed at this step.

Step 04

Synthesiser

  • Plain-language pass

    Tightens hedging, removes jargon, formats for human reading.

  • Only post-critic

    Never runs on a draft the critic flagged — prevents polishing a bad answer into believability.

  • Final format

    PDF-ready letters, markdown for the app, structured JSON for the API.

The critic is not cosmetic. Every model run is logged to signals with critic_passed and critic_flags. A provider that fails too often is demoted automatically from the router — visible in our internal provider scorecard.

What we won't do

Promises we refuse to make.

We won't promise a guaranteed CIBIL score increase. No one can — and anyone claiming to is lying.
We won't pull your bureau report without an OTP-verified soft-pull authorisation from you.
We won't sell your PAN, contact, or report data. Documents are deleted within 24 hours.
We won't generate a dispute letter the critic can't justify against RBI / CIBIL rules.
We won't take a cut from any lender, NBFC, or DSA. The price you pay is the only thing we earn.
We won't bill you per token. Tier price is final.