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Compliance · RBI-aligned AI calling

RBI-compliant AI calling, enforced on every dial.

RBI's Digital Lending Directions make regulated entities accountable for the conduct of every recovery agent — including AI. Agni turns your compliance policy into campaign configuration: calling windows, DND/NCPR scrubbing, consent logs, retry caps, and complete recordings with audit trails.

RBI-aligned call windowsDND/NCPR scrubbingDPDP-ready consent design30+ Indian languages
The controls

The workflow controls RBI accountability requires.

Each control maps to a real platform feature — enforced automatically on every call, and documented as evidence.

Calling-window enforcement

Campaigns dial only inside the contact hours your compliance team configures. The window is enforced on every call automatically — never left to an agent's discretion.

DND/NCPR scrubbing

Every contact list is scrubbed against DND/NCPR registries before a single dial goes out, so you don't call numbers that shouldn't be called.

Consent logging

Consent events are captured and stored against each contact, with workflows designed for the DPDP Act's notice and withdrawal requirements.

Retry caps & stop-calling honor

Attempts are capped per day and per cycle, retries are spaced, and a stop-calling request halts outreach immediately and is recorded against the contact.

Recordings & audit trails

Every conversation is recorded, transcribed, and retrievable — the evidence trail regulated entities need for review, dispute handling, and audit.

Conduct guardrails

The agent states dues clearly, avoids pressure on hardship and dispute cases, and hands sensitive situations to your team with full context.
Accountability, by design

Your policy. Enforced in code. Documented for audit.

A vendor can't hand you a compliance certificate for your own recovery program. What it can do is make the right behavior the only behavior: windows that can't be crossed, lists that are always scrubbed, retries that are always capped, and a recording of every word for when you're asked to show it.

That is how Agni approaches RBI, TRAI/DLT, and DPDP-era requirements — as product requirements, not disclaimers.

Digital Lending DirectionsAgent-conduct accountability sits with the regulated entity — Agni gives you the controls and the evidence to meet it.
TRAI / DLT workflowsDND/NCPR scrubbing and calling-window enforcement, with DLT-registered template and header workflows per campaign.
DPDP Act 2023Consent captured and logged per contact; stop-calling honored and recorded; retention under your policy.
Audit-ready recordsRecordings, transcripts, dispositions, and timestamps retrievable for any review or dispute.
FAQ

RBI, TRAI & DPDP — answered straight.

Is Agni RBI compliant?
Compliance belongs to the lender's program, not to a vendor checkbox — RBI's Digital Lending Directions make regulated entities accountable for the conduct of every recovery agent, including AI. What Agni provides is the workflow controls that accountability requires: calling-window enforcement, DND/NCPR scrubbing, retry caps, consent logs, and complete recordings with audit trails. Your compliance team defines the policy; Agni executes it on every dial and documents the evidence.
How does Agni handle DND / NCPR and TRAI rules?
Contact lists are scrubbed against DND/NCPR registries before every campaign, and calling windows are enforced so outreach stays inside approved contact hours. Where you run commercial communications through DLT-registered templates and headers, those workflows are configured per campaign so your telephony stays inside TRAI's framework.
Is it DPDP Act 2023 ready?
Agni's consent workflows are designed for the DPDP Act's notice and withdrawal requirements: consent is captured and logged against each contact, stop-calling requests are honored and recorded, and recordings and transcripts are retained under your policy. See the Trust Center for the current data-handling posture.
Which languages can compliant calls run in?
30+ Indian languages with native Hinglish and 100+ accents & dialects, set per borrower segment — so a Pune book and a Patna book each hear a natural conversation, not a script read in the wrong accent, while the same compliance controls apply on every call.
Where do call records and dispositions go for audit?
Through after-call webhooks and REST APIs: structured dispositions, promise-to-pay data, recordings, transcripts, and summaries flow into your LMS or CRM. GoHighLevel is supported natively, and any system with an API can consume the payload.

Run a compliant AI calling program with the evidence to prove it.

See calling-window enforcement, DND/NCPR scrubbing, consent logging, and audit-ready records shaped around your own policy and book.

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