Top agentic AI use cases for Insurance in H2 2026

Policy facts checked weekly across ChatGPT, Gemini and AI Overviews

Buyers now ask AI engines which health or term plan to choose, and Pew Research Center found Google users click fewer links when an AI summary appears. An agent checks what these engines say about your plans each week and fixes the source pages behind any wrong answer.

the workflow

1. Each week, run a fixed set of buyer prompts, such as the best health cover for parents over 60, across ChatGPT, Gemini, Perplexity and Google AI Overviews.
2. Record whether your plans appear, how they are described and which pages are cited.
3. Flag factual errors, such as a wrong waiting period, sum insured range or claim process.
4. Draft corrections to the cited pages, FAQs and structured data so the right fact is easy to find.
5. Human approval: The product owner and compliance approve each correction before it is published.
6. Re-run the prompts after publication and log whether the answers changed.

Guardrail. Corrections may only restate what the filed policy wording and Customer Information Sheet say and never add comparative claims about competitors.

Machine-readable quote and renewal data for AI shopping agents

McKinsey describes AI agents that watch a customer’s renewal date, query insurers in real time and recommend a switch. An agent keeps your product, premium and eligibility data structured and current so these comparisons read you correctly.

the workflow

1. Trigger on any rate revision, new plan, rider change or update to underwriting eligibility.
2. Update structured product data on the website, aggregator feeds and quote API documentation.
3. Test sample comparison journeys and assistant prompts to check the new premium and features come through correctly.
4. Human approval: The distribution head approves the data changes and which partners or agents may call the quote API.
5. Publish the changes and monitor quote requests by source, including aggregators and assistants.

Guardrail. Premiums shown to any machine must be the same filed rates shown to a person, with sample quotes clearly marked as illustrative.

Product data and explainers ready for Bima Sugam

IRDAI’s Bima Sugam marketplace launched in September 2025 as an information hub, with buying, renewal and claims to follow as insurers integrate. An agent keeps each product’s facts consistent across your site, partners and the marketplace so buyers see one version.

the workflow

1. Inventory every live product with its UIN, Customer Information Sheet, brochure and web page.
2. Compare the facts across those documents and the listings on partner and marketplace pages.
3. Flag mismatches in cover, exclusions, waiting periods or premium ranges.
4. Draft corrected summaries and plain-language explainers from the filed documents.
5. Human approval: The product compliance lead approves every corrected summary before it is shared.
6. Publish to your site and supply the approved versions for marketplace and partner listings.

Guardrail. Every listing must match the filed product and its Customer Information Sheet, under the IRDAI (Insurance Advertisements and Disclosure) Regulations, 2021.

Cashless claim updates for families during a hospital stay

IRDAI’s 2024 health insurance master circular asks insurers to decide cashless authorisation within an hour of the request and discharge within three hours. Convexa keeps the family informed on WhatsApp while the claim moves and brings in a person before any bad news.

the workflow

1. Trigger when the hospital or TPA logs a cashless authorisation or discharge request.
2. Send the nominated contact a WhatsApp update with the claim status and the next step.
3. Answer common questions on documents, room-rent limits and non-payable items from the policy wording.
4. Alert the claims supervisor when a request nears the regulatory timeline or a document is missing.
5. Human approval: A claims supervisor approves every message about a query, partial approval or denial.
6. Log the conversation against the claim and ask for feedback after discharge.

Guardrail. Convexa never decides or hints at a claim outcome; the insurer or TPA decides, and a person explains any denial.

Marketing audiences checked for consent before every upload

The DPDP Rules, notified in November 2025, bring consent manager provisions into force in November 2026 and most remaining obligations by May 2027. An agent checks every audience before it reaches an ad platform or dialler, so marketing uses only data with a matching purpose and consent.

the workflow

1. Trigger when a campaign audience is built for Google Ads, Meta, email or a tele-sales dialler.
2. Check each record’s consent source, purpose and date, and remove anyone who withdrew or consented only to servicing.
3. Separate service messages from promotional ones so each goes through the right channel and number series.
4. Produce an exclusion report showing what was removed and why.
5. Human approval: The data protection officer approves the audience and the exclusion report before upload.
6. Upload the approved audience and keep the consent evidence with the campaign record.

Guardrail. Data collected to service a policy is never reused for marketing without the consent the Digital Personal Data Protection Act, 2023 and its 2025 Rules require.

Mis-selling early warnings across bank and partner channels

Bank-led insurance selling has drawn public warnings from IRDAI and the finance ministry. An agent watches the signals that appear before complaints do, such as free-look cancellations, and gives the channel head a weekly review pack.

the workflow

1. Each week, pull new business, free-look cancellations, early surrenders and complaints by branch, partner and product.
2. Flag patterns such as older customers sold long-term savings plans, single-premium spikes or cancellations clustered in one branch.
3. Pull sample proposals and call verification notes for each flagged pattern.
4. Draft a review pack with the evidence and proposed actions, such as retraining or extra call verification.
5. Human approval: The channel head and compliance approve the actions taken with each partner.
6. Track whether the flagged patterns fall in the weeks after action.

Guardrail. A flagged pattern prompts review, not penalty: no partner is sanctioned and no customer is contacted on the agent’s finding alone.

Embedded cover offers inside partner checkouts

Travel, motor and device cover increasingly sells at a partner’s checkout, and India’s Sabka Bima Sabki Raksha Act, passed in December 2025, introduces managing general agents and perpetual intermediary licences once notified. An agent helps the partnerships team test how the offer appears and watches what happens after the sale.

the workflow

1. Trigger when a partner such as a travel site, vehicle dealer or electronics retailer goes live or changes its checkout.
2. Review the offer placement, wording and price display against the approved product summary.
3. Propose placement and wording variants within what compliance has already approved.
4. Human approval: The partnerships lead and compliance approve each variant before the partner deploys it.
5. Monitor attach rate, early cancellations and claims queries by partner.
6. Report weekly to the partner on what to keep and what to change.

Guardrail. Cover is always a separate choice the buyer makes, never pre-selected, and is sold only through a registered insurer or intermediary.

Consumer understanding checks on sales and service conversations

Regulators increasingly expect insurers to show customers understood what they bought: the FCA’s Consumer Duty says so explicitly, and US states adopting the NAIC model bulletin expect governance of AI used with consumers. Convexa reviews sales and service conversations for confusion or vulnerability and routes them to the people who can fix the cause.

the workflow

1. Each day, take a sample of recorded tele-sales calls, chats and service conversations.
2. Flag moments where a customer seemed not to understand exclusions, price or cancellation rights, or showed signs of vulnerability.
3. Group the flags by product, script and team, with the exact excerpts.
4. Human approval: The conduct risk lead approves which findings become script changes, coaching or customer follow-up.
5. Update scripts and help content, and schedule follow-up calls for affected customers.
6. Report outcomes monthly to the board’s Consumer Duty or conduct review.

Guardrail. AI flags conversations for people to review and never scores, prices or declines a customer, since risk assessment and pricing in life and health insurance are high-risk uses under the EU AI Act.

Frequently asked questions