Updated At Apr 18, 2026

For Indian insurers & BFSI leaders 7 min read

Insurance Journeys: Consent for Underwriting, Wellness, and Marketing

How Indian insurers can design a unified consent fabric across underwriting, wellness programmes, and marketing while staying aligned with DPDP, IRDAI, RBI, and TRAI expectations.
Key takeaways
  • Consent is now a board‑level capability for Indian insurers, shaped simultaneously by DPDP, IRDAI, RBI’s AA framework, and TRAI’s commercial communication rules.
  • Mapping consent across the full insurance lifecycle exposes high‑risk points in underwriting, wellness, and marketing where proof of informed, granular consent is critical.
  • Underwriting and wellness journeys demand strict data‑minimisation, separate purposes, and clear boundaries so wellness data is not silently repurposed for pricing or claims.
  • Marketing and re‑engagement flows must combine DPDP‑grade consent with TRAI‑compliant subscriber preferences and easy opt‑outs across all outbound channels.
  • A shared consent fabric, often anchored by a DPDP‑native consent platform, reduces regulatory risk, improves audit readiness, and supports smoother digital journeys.
Consent is no longer a simple checkbox for Indian insurers. The DPDP Act redefines valid consent as specific, informed, unambiguous and given through a clear affirmative action, and requires that it be freely given rather than bundled with unrelated purposes. It also allows individuals to withdraw consent as easily as they give it, and to receive notices and consent requests in English or any Eighth Schedule language, raising the bar for journey design and record‑keeping.[1]
  • Regulatory convergence: DPDP, IRDAI’s policyholder protection and wellness norms, TRAI’s commercial communication rules, and RBI’s Account Aggregator ecosystem all touch the same customer data.
  • Sensitivity of data: underwriting, claims, and wellness use health, financial, and behavioural data that regulators expect to be strictly purpose‑bound and well‑protected.
  • Customer expectations: customers increasingly expect transparency, easy opt‑outs, and channel‑wise preferences, especially for high‑trust products like insurance.
  • Technology spend: consent design drives architecture choices for CRMs, policy administration systems, martech, and partner integrations, making it a board‑visible investment question.
A typical Indian insurance lifecycle spans lead capture, digital proposal, KYC, data pulls from account aggregators, underwriting, policy issuance, servicing, wellness engagement, claims, renewals, and cross‑sell. In each step, consent may be captured or reused across multiple systems, while the Account Aggregator framework adds its own layer of explicit, electronic consent and non‑repudiable audit trails for financial data sharing.[3]
High‑level consent touchpoints across the Indian insurance lifecycle.
Lifecycle stage Key data & actions Consent focus Risk level
Lead capture & quote Contact details, demographics, and product interest captured via web, app, call centre, or field sales. Consent to be contacted, channel‑wise marketing preferences, and privacy notice acknowledgement. Medium – risk of unsolicited outreach and TRAI complaints if consent is vague.
Proposal & e‑application Detailed personal, health, and financial disclosures; document uploads and declarations. Explicit consent to process personal and health data for underwriting and policy issuance, separate from optional marketing consent. High – sensitive data, central to DPDP scope and IRDAI scrutiny.
KYC & data pulls (including AA) PAN/Aadhaar details, bank statements, and income data fetched via third parties or Account Aggregators. Just‑in‑time consent for each data source, duration, and purpose; clear partner disclosures and mirroring of AA consent artefacts in internal logs. High – external data sources and multi‑party flows.
Underwriting decision Risk scoring, rules‑engine decisions, and potential manual review by underwriters. Evidence that data used for decisions was within the consented scope and not repurposed from unrelated journeys (e.g., wellness apps). High – direct customer impact if a decision is challenged.
Policy issuance & onboarding Policy document generation, welcome communications, and account setup on portals or apps. Clarity on operational communications versus optional consent for wellness enrolment and marketing programmes. Medium – risk of mis‑bundling operational and promotional messaging.
Servicing & engagement Address/contact changes, endorsements, mid‑term alterations, and service requests. Maintaining up‑to‑date channel preferences and ensuring that service communications do not drift into unconsented marketing. Medium – ongoing risk of consent drift over long policy durations.
Wellness enrolment & ongoing data Activity data, self‑reported health metrics, device/app integrations, coaching interactions, and reward redemptions. Granular consent for data collection, sharing with wellness partners, use for rewards, and any permitted influence on underwriting terms. High – sensitive health data and IRDAI wellness constraints.
Claims Medical records, hospital bills, investigation reports, and repair invoices submitted for claim assessment or fraud checks. Use of additional documents only for claim adjudication and fraud control, with clear retention and sharing rules. High – emotionally charged interactions and strong regulatory sensitivity.
Renewals & cross‑sell Risk re‑evaluation, renewal notices, upsell and cross‑sell offers across products and channels. Fresh or reaffirmed marketing consent where purpose or channel scope has changed; strict adherence to TRAI/DND and DPDP withdrawals. Medium to high – repeated contact and potential for complaints.
Use this checklist to turn the lifecycle map into an actionable consent inventory.
  1. Assemble a cross‑functional mapping squad
    Include product, CX, distribution, IT/architecture, legal/compliance, and information security so you capture every channel, partner, and variant journey in scope.
  2. Document every touchpoint that collects or uses personal data
    For each journey step, record what data is collected, from which systems or partners, and where consent is currently taken (if at all).
    • Tag touchpoints that use health or financial data or rely on external data providers.
    • Note whether consent text, language, or channel scope differs across web, app, branch, and agent flows.
  3. Mark high‑risk journeys and consent gaps
    Highlight underwriting, wellness, and marketing flows that rely on legacy forms, verbal scripts, or disconnected checkboxes, and where proof of consent is hard to retrieve or reconcile.
  4. Draft target‑state patterns and templates
    Define standard consent language, scopes, and retention rules for each purpose and channel, and agree which system is the source of truth for consent. Use this as the blueprint for tooling and integration decisions.
Underwriting and wellness journeys are where insurers handle the most sensitive customer data. These flows must demonstrate data minimisation, clear purpose specification, and the ability to prove that only data within the consented scope was used to make decisions or issue rewards. The challenge is to make these controls visible in front‑end journeys and enforceable across back‑end systems and partners.
  • Underwriting design patterns. Separate consent for processing health and financial data for underwriting, for data pulls from AAs or other providers, and for any onward sharing with reinsurers or group entities. Avoid bundling marketing or analytics purposes into the same consent.
  • Limit collection to what is reasonably required to assess risk and issue the policy, rather than hoovering up all available data because it is technically possible. Make these limits explicit in both the notice and the internal data model.
  • Wellness programme patterns. Offer wellness enrolment as an optional, clearly described programme, with transparent terms for what data will be collected, how rewards work, which partners see the data, and whether any aggregated metrics might influence underwriting terms in future.
  • Keep technical segregation between wellness data stores and core underwriting systems so that wellness data cannot be reused for underwriting, pricing, or claims handling without explicit, fresh consent and appropriate governance approvals.
Underwriting and wellness consent considerations across common insurance use cases.
Use case Typical data processed Consent emphasis Key risk if mishandled
Retail health or life underwriting Medical questionnaires, diagnostic reports, lab results, financial declarations, and lifestyle information. Clear notice and consent describing processing of health data, potential sharing with reinsurers or medical examiners, and retention periods. Challenges to declinatures or loadings if consent scope or disclosures are later questioned by customers or regulators.
Motor/telematics‑based programmes Location, driving behaviour, and vehicle usage data from telematics devices or apps, possibly combined with claims history. Explicit consent covering continuous data collection, how scores are calculated, and whether they affect pricing, rewards, or renewals. Perception of surveillance or unfair pricing if data use is not well explained or appears to exceed the consented purpose.
App‑based wellness with device integration Step counts, sleep data, heart‑rate trends, self‑reported questionnaires, and programme engagement metrics, sometimes captured via third‑party apps or wearables. Granular consent for each integration, clear partner naming, and unambiguous limits on whether data is used only for rewards or also in aggregate for product design and pricing decisions. Regulatory concern if customers feel coerced into sharing wellness data or if data flows to underwriting systems without adequate disclosure or consent.
Employer‑sponsored group wellness Participation metrics, programme completion status, and sometimes aggregated health risk scores across employer groups. Individual consent for participation and data sharing with the insurer, plus clear separation between aggregated employer‑level reporting and individual medical confidentiality. Tension between employer expectations and employee privacy rights if individual data is exposed or used beyond clearly agreed purposes.
Key takeaways
  • Treat underwriting and wellness as distinct, clearly described purposes, each with its own notices, scopes, and retention rules rather than a single generic consent.
  • Avoid silent repurposing of wellness or behavioural data for underwriting, pricing, or marketing; where you need new uses, obtain fresh, explicit consent and update disclosures.
  • Implement technical segregation, field‑level controls, and partner contracts that make it hard—not easy—for sensitive data to be misused or over‑shared.
  • Document how any wellness‑linked metrics influence rewards or pricing so those rules can be explained and defended to customers, auditors, and regulators.

Marketing, re‑engagement, and customer preferences under DPDP and TRAI

Marketing and re‑engagement journeys for insurance products sit at the intersection of data protection and telecom regulation. Promotional SMS, calls, and other outreach require not just DPDP‑grade consent and withdrawal options, but also compliance with TRAI’s commercial communication rules, which mandate explicit subscriber consent and straightforward revocation for promotional messages from registered senders.[5]
  • Distinguish clearly between operational communications (policy status, statutory notices, OTPs) and promotional or cross‑sell messages, and avoid reusing operational consent for marketing by default.
  • Offer channel‑wise consent (SMS, voice calls, email, WhatsApp, in‑app) with plain‑language explanations of what customers will receive and how often.
  • Respect TRAI customer preferences and DND status in addition to DPDP withdrawals; ensure dialers, SMS gateways, and martech tools enforce both sets of rules consistently.
  • Capture and store consent artefacts that can be linked back to the exact message template or campaign, simplifying investigations and reducing the risk of disputes.
A practical way to operationalise these expectations is to build a single preference and consent centre that surfaces across channels.
  1. Define a clear set of consent purposes and message types
    Agree the purposes you will seek consent for, such as policy servicing, wellness engagement, cross‑sell/upsell, reminders, and surveys, and map actual message templates to these buckets.
  2. Map each purpose to channels and regulatory rules
    For each purpose, list which channels you will use (SMS, calls, email, WhatsApp, push) and which regulatory constraints apply, including TRAI commercial communication requirements for telecom channels.
  3. Design customer‑friendly interfaces for giving and withdrawing consent
    Provide simple toggles and explanations in web, app, and assisted channels, and ensure that withdrawing consent is at least as easy as giving it—for example, via a single click or tap in the same interface.
  4. Wire the preference centre into your martech, CRM, and outbound systems
    Expose preferences through APIs or events so that dialers, SMS/email platforms, and agent tools can query the latest status before any communication is sent, and log proof of checks for auditability.
  • Customers complain of “spam” despite opting out: Often caused by inconsistent consent data between CRM, dialer, and SMS gateway. Fix by centralising consent, enforcing near real‑time sync, and running reconciliation reports across systems.
  • Underwriting is stalled because required consents are missing: Typically occurs when KYC or AA consents are captured offline or in separate portals. Fix by embedding just‑in‑time consent screens into core journeys and ensuring consent artefacts are pushed back to policy and CRM systems.
  • Wellness partners collect more data than expected: Results from vague contracts or one‑way APIs. Fix by tightening partner agreements, enforcing data‑minimisation, and implementing field‑level whitelists in integration flows.
  • Auditors cannot trace how a specific decision used data: Indicates weak linking between consent records, data pulls, and decision logs. Fix by designing identifiers and logs that tie these artefacts together end‑to‑end.
Many insurers are treating consent modernisation as a strategic technology programme, not a minor legal update. Industry commentary points to rising investment in DPDP‑aligned data protection and consent systems, including the effort needed to build consent mechanisms, map data flows, and give customers better visibility into how their data is used.[4]
  • Governance and ownership: Establish a cross‑functional consent council that owns policies, approves templates, and monitors risk, with clear RACI across product, legal/compliance, security, and IT.
  • Reference consent data model: Standardise how you represent data principals, purposes, lawful uses, data categories, channels, timestamps, expiry, and revocation events so that all systems can interpret consent consistently.
  • Integration patterns: Decide how front‑end channels, policy admin, CRM, wellness platforms, martech, and AA interfaces will create and query consent records—preferably via APIs or events, not ad‑hoc batch uploads.
  • Operational processes: Define how new products, campaigns, and partners are onboarded into the consent fabric, including checklists, approvals, and regression tests for existing journeys.
Comparing building consent capabilities in‑house versus buying a DPDP‑native consent platform.
Decision dimension Build in‑house Buy platform
Time to implement Longer; requires custom data model, APIs, UI components, and reporting, often across multiple release cycles and teams. Shorter if the platform offers ready SDKs, prebuilt widgets, and configurable templates tuned for Indian regulations.
Adaptability to regulatory change Depends on internal bandwidth and expertise to track and implement DPDP, IRDAI, and TRAI updates across multiple systems and journeys. Specialised vendors can often ship updates faster if they continuously track regulatory change and encode it into configuration rather than custom code.
Audit trails and reporting Needs deliberate design for immutable logs, versioned consent notices, and audit‑ready reports that combine consent, data usage, and decision artefacts. Mature platforms provide system‑generated audit trails and structured regulatory reports out of the box, reducing manual effort during audits and investigations.
Multi‑channel orchestration Risk of fragmented implementations across web, app, branch, call centre, agency, and partner channels, each with slightly different consent behaviours. Centralised orchestration of consent journeys with consistent UX and logic across touchpoints, often via shared components and SDKs.
Total cost of ownership High upfront engineering cost plus ongoing maintenance, security reviews, and compliance overhead across multiple internal teams. Subscription fees balanced against reduced build effort, vendor roadmap leverage, and potential savings in audit and remediation work.
Skills and focus Consumes scarce architecture, security, and compliance expertise that might otherwise focus on core insurance product innovation and differentiation. Lets teams focus on product and journey innovation while leveraging a specialist consent platform with dedicated security and compliance focus.

Evaluate DPDP‑native consent management

Digital Anumati

Digital Anumati is an enterprise‑grade consent management platform focused on helping Indian organisations operationalise DPDP‑aligned consent governance, with a shared consent hu...
  • DPDP Act–compliant consent management tailored for Indian organisations, providing structured consent governance and re...
  • Rich feature set including dynamic consent orchestration, multilingual consent presentation, a self‑service user portal...
  • API‑first architecture with REST APIs and SDKs that support rapid integration into existing web, mobile, and back‑offic...
  • Emphasis on security and reliability with an enterprise‑grade security posture, a zero‑compromise security framework, h...
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  • Bundling underwriting, wellness, and marketing into a single, catch‑all consent statement that is neither specific nor easy for customers to understand or revoke selectively.
  • Assuming DPDP only applies to digital journeys and ignoring paper forms, agent scripts, branch processes, and inbound call flows where much consent is still captured.
  • Treating TRAI compliance as a separate telecom issue instead of integrating DND status and template‑level consents into your central consent and preference fabric.
  • Relying on channel logs (dialer, SMS gateway, email platform) as the only proof of consent, without a central, versioned record of the consent text and the customer’s action.
  • Running consent as a one‑off remediation project to meet immediate DPDP deadlines, instead of treating it as an ongoing programme with metrics, owners, and continuous improvement.
FAQs

Start with a cross‑functional mapping exercise: list all journeys and touchpoints that capture or use personal data, then identify where consent is taken and where it is only implied. Designate a single system as the system of record for consent and plan integrations so that other systems read from and write to this source of truth.

There is no one‑size‑fits‑all frequency. Many insurers use an event‑based approach: refresh or reconfirm consent when products are materially changed, when you introduce new purposes or channels (for example, wellness programmes or WhatsApp), or when a customer has been inactive for a long period. Work with legal and compliance to define triggers that balance regulatory comfort with customer experience.

In practice, no single checkbox can fully discharge all obligations. DPDP focuses on lawful, informed processing of personal data; IRDAI adds sector‑specific constraints around product design, wellness, and policyholder protection; TRAI governs how you use telecom channels for commercial communication. You can design a unified consent experience and data model, but you still need to meet each framework’s specific conditions behind the scenes.

Treat wellness data primarily as a tool to encourage healthy behaviour and engagement. If you plan to use it in underwriting or pricing, ensure this is clearly disclosed, aligned with applicable IRDAI guidelines, filed where required, and supported by explicit consent. Many insurers limit individual‑level use and instead rely on aggregated insights for product design to reduce regulatory and fairness concerns.

A strong audit trail links each consent to a data principal, journey, purpose, channel, timestamp, notice version, and source system, and records subsequent updates or withdrawals. It should also be possible to correlate consent records with data pulls (for example, via AA), underwriting or wellness decisions, and outbound campaigns. Auditors should be able to reconstruct the full story quickly without manual digging across systems.

Prioritise DPDP alignment, multi‑channel coverage (web, app, branch, agent, call centre, partner APIs), strong audit trails, multi‑language support, and the ability to model multiple purposes such as underwriting, wellness, and marketing. Look for an API‑first architecture that can plug into policy admin, CRM, martech, wellness platforms, and AA interfaces, with dashboards and reports that make it easy for business, risk, and compliance teams to govern consent over time.

Sources
  1. The Digital Personal Data Protection Act, 2023 - Government of India – India Code
  2. IRDAI Guidelines on Wellness and Preventive Features - TaxGuru (reproducing IRDAI circular)
  3. Regulatory framework for account aggregators - Bank for International Settlements / Reserve Bank of India
  4. DPDP norms nudge insurance firms to boost tech systems, consent frameworks - Business Standard
  5. TRAI curbs unwanted commercial calls, mandates subscribers' consent - Business Standard / IANS
  6. Promotion page

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