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TRAI DND Rules for Outbound Calling in India: A Practical Guide for AI Calling Campaigns

AC
Azmth CMS
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Any business that makes commercial calls in India operates under rules set by the Telecom Regulatory Authority of India (TRAI). The current framework is the Telecom Commercial Communications Customer Preference Regulations, 2018 (TCCCPR), which replaced the older 2010 regulations and introduced blockchain-based registration of senders, headers and consent. AI voice agents do not get an exemption: an automated call that promotes a product or service is commercial communication just like a call from a human agent.

This guide explains the parts of the framework that matter when you plan an AI calling campaign, and how to set up the campaign so the rules are built into it rather than checked afterwards. It is a practical summary, not legal advice. Have your compliance team or counsel confirm how the rules apply to your specific calls.

The two kinds of commercial calls

TRAI distinguishes between two categories, and the category decides what you are allowed to do.

  • Promotional (unsolicited commercial communication, UCC): calls that promote or advertise a product or service to someone who has not asked for them. These may only be made to subscribers who have not registered a preference against them, and only through a registered telemarketer route.
  • Transactional and service calls: calls that relate to an existing relationship or a transaction the customer has initiated. Order confirmations, appointment reminders, EMI due reminders, delivery scheduling and account alerts fall here. These can be made to DND-registered numbers because the customer has a relationship with you.

Most AI calling use cases that work well in practice are on the transactional and service side: confirmations, reminders and follow-ups to people who already gave you their number for that purpose. First-touch sales calls to a purchased or scraped list are promotional and carry the most restrictions.

What DND means for your contact list

Subscribers can register on the National Customer Preference Register (NCPR), commonly called DND, either fully blocking promotional calls or blocking specific categories. Before a promotional campaign, your list must be scrubbed against the register so DND numbers are removed. Telecom operators provide scrubbing through the DLT (distributed ledger technology) platforms that came with the 2018 regulations; registered telemarketers and enterprises access it through their operator.

Practical implications for a campaign:

  • Keep the scrubbing record for the campaign. If a complaint is raised, the record shows the number was clear at the time of calling.
  • Scrub close to the calling date. Registrations change, and an old scrub does not protect you.
  • Transactional calls to your own customers do not require scrubbing, but they must actually be transactional. A reminder call that pivots into an upsell pitch becomes promotional.

Consent and the DLT registration

Under TCCCPR 2018, a business sending commercial communication registers as a Principal Entity on an operator's DLT platform. Consent from customers who agreed to receive promotional communication is recorded there, and the content of promotional messages is registered as templates. The regime was designed primarily around SMS, but the registration and consent principles apply to voice as well.

For an AI calling campaign to a list of people who opted in, keep these three things ready:

  1. Evidence of how each contact consented, with date and the purpose they agreed to.
  2. The identity you use on the call, which should match the entity the customer consented to hear from.
  3. A working opt-out. If a person asks not to be called again, the request must be honoured and the number removed from future campaigns.

Permitted calling hours

Promotional calls are restricted to 9 AM to 9 PM. Calling outside that window is one of the most common triggers for complaints because it is easy to prove. Service and transactional calls are not bound by the same window, but calling someone at 7 AM about a delivery is still a customer experience problem.

In an AI calling platform this becomes a configuration setting rather than an operational discipline. In Azmth CMS, for example, calling windows are saved per weekday in your own time zone, and campaign calls only dial inside those windows. Set the windows to 10:00 to 19:00 IST for promotional campaigns and the platform will not dial outside them even if a campaign is started late in the evening.

Identification on the call

The person receiving the call must be able to tell who is calling and why. For an AI voice agent, put this in the first message: the company name, the reason for the call, and a plain statement that it is an automated call. Beyond the regulatory reason, an honest opening improves completion rates: customers hang up on calls that sound evasive and stay on calls that state their purpose.

A first message that satisfies this looks like: "Hello, this is an automated call from Sunrise Clinic about your appointment tomorrow at 11 AM with Dr. Mehta. Do you have a moment to confirm it?"

Configuring an AI campaign to stay compliant

Put the rules into the configuration so every call inherits them.

  • List: for promotional campaigns, scrub against DND and keep the record. For transactional campaigns, load only customers with an active relationship for that purpose.
  • Calling windows: 9 AM to 9 PM at the widest for promotional calls; narrower is better for answer rates anyway.
  • First message: identify the company, the purpose and that the call is automated.
  • System prompt: instruct the agent to stop and end the call politely when the person asks not to be called, not to discuss the matter with anyone other than the named person, and never to pressure, threaten or repeat the pitch after a refusal.
  • Post-call analysis: add a field such as `do_not_call_requested` to your analysis schema so opt-out requests are captured as data and can be removed from future lists automatically.
  • Records: keep the transcript and recording of each call. They are your evidence if a complaint is raised, and they are also how you find prompt problems early.

Penalties and why it matters

TRAI's framework provides for graded financial disincentives for entities that send unsolicited commercial communication, escalating with repeat violations, and operators can disconnect the telecom resources of senders who persist. The enforcement burden falls on the telecom operators, who act on subscriber complaints. Complaint volume is therefore the practical measure: a compliant campaign generates few complaints because it calls the right people, at the right time, with a clear purpose.

Checklist before you press start

  1. Is this call promotional or transactional? Configure accordingly.
  2. Has the list been scrubbed against DND (promotional) or restricted to active customers (transactional)?
  3. Are calling windows set inside 9 AM to 9 PM?
  4. Does the first message identify the company, purpose and automated nature of the call?
  5. Does the prompt handle "do not call me again" by ending the call and flagging the contact?
  6. Are recordings and transcripts retained?
  7. Has someone accountable for compliance reviewed the prompt and the list source?

Regulations change and TRAI has proposed amendments to the 2018 framework more than once. Check the current text on trai.gov.in and confirm with your compliance team before launching a large campaign.