The Actuary Lens

Insurance shopping moves into the conversation

Artificial intelligence (AI) assistants become a new route to insurance.

The executive takeaway

Conversational discovery and quoting can change acquisition routes.

Where the customer conversation moves

Journey schematic · completion and authority must be checked for each provider.

Direct journey

  1. Customer

    Searches and enters details

  2. Insurer or broker

    Presents a quote in its own journey

  3. Customer

    Chooses and completes the purchase

Assistant journey

  1. Customer

    States a need in a conversation

  2. AI assistant

    Finds options or requests a price

  3. Purchase boundary

    Who is authorised to buy, and where?

A conversation or quote does not establish a completed insurance sale.

See a documented journey: Aviva

UK · UK life insurance · documented 2026-06-01

Discovery
Reported
Indicative price
Reported
Personalised quote
On insurer site
Purchase in agent
Website handoff
Autonomous renewal
Not evidenced

Application and purchase on Aviva’s website.

Evidence limit: Aviva explicitly says customers cannot buy its insurance directly within ChatGPT. A final price may require further information.

Keep in mindAn app launch does not establish autonomous buying, UK availability or lower acquisition costs.

What supports this view?

Full interpretation: Conversational discovery and quoting can change acquisition routes. Intermediaries may adapt, and customer ownership may shift toward agent platforms.

Established: The evidence separates estimates, personalised quotes and purchase handoffs.

Evidence to change the assessment: Reassess when consented agent journeys produce incremental bound policies, lower fully loaded acquisition costs and acceptable retention, risk mix and customer outcomes.

Sigo opens agent-based motor quote-and-buy and InsuranceMCP directory

Evidence item dated 2026-10-01 · Announced

Sigo reports motor insurance quoting and in-agent purchase with selected carrier partners in Texas, plus an open InsuranceMCP directory.

Limit: Company claims, not independently tested. The release says Muse approval is pending; the Muse customer page describes web or WhatsApp completion. Preserve this journey discrepancy and Texas-only scope.

Sterling scales OpenDialog AI sales agent across 53 motor schemes after controlled conversion test

Evidence item dated 2026-10-01 · Announced

OpenDialog reports that Sterling Insurance Services, part of Adrian Flux Group, deployed its Selma AI sales agent across all 53 Private Car schemes and then Short Term Car. In a controlled A/B test running January–August 2026, customers using the AI journey showed a 31.4% relative lift in quote-to-purchase conversion and a 9.3% relative lift in add-on attachment. Conversion lift reached 39–41% versus control in July and August. Selma detects likely quote abandonment and answers using the customer’s live quote, policy wording and IPID through Sterling’s API.

Limit: The primary evidence is a vendor case study and company press release, not independently audited. The source does not disclose sample size, absolute conversion rates, confidence intervals, customer cohort mix, premium or claims quality, complaint outcomes, cancellation rates, vulnerability outcomes, or whether add-on attachment improved customer value. The 31.4% figure is the January–August relative lift; 39–41% relates only to July and August and should not be described as the full-period result. The deployment is an on-site sales agent inside Sterling’s controlled journey, not an external personal agent shopping across marketplaces.

Evidence dates & releaseExplainer changed 9 Oct 2026
Evidence period
Periods vary by sourceThe time measured. Publication and event dates appear with the individual sources.
Assessment changed
2 Oct 2026Last recorded material change to the insurance assessment.
Explainer changed
9 Oct 2026Last recorded change to its evidence or explanation. A routine source check does not reset it.
Source checks
2 Oct 2026 – 9 Oct 202618 of 18 sources have a check date in this release. These dates describe inspection, not new evidence.

Approved evidence published 9 Oct 2026This topic, its downloads and linked Data Lab views use the same selected release.

Inspect the sources and their dates
Read the explanation, evidence and limitations

Insurance shopping moves into the conversation

AI assistants can help people discover insurance and obtain prices. The important question is how far each journey actually goes, and who completes the sale.

Established: The evidence separates estimates, personalised quotes and purchase handoffs.

Developing: Delegated authority and transaction interfaces may support more complete journeys.

Still uncertain: An app launch does not establish autonomous buying, UK availability or lower acquisition costs.

Tuio / Lassie · Europe · 2026-09-09
Discovery: Reported · Estimate: Not specified · Quote: Reported · Purchase in agent: Not evidenced · Autonomous renewal: Not evidenced

Insurify · US · 2026-08-18
Discovery: Reported · Estimate: Superseded · Quote: Reported · Purchase in agent: Carrier-dependent · Autonomous renewal: Not evidenced

Aviva · UK · 2026-06-01
Discovery: Reported · Estimate: Reported · Quote: On insurer site · Purchase in agent: Website handoff · Autonomous renewal: Not evidenced

Simply Business · UK · 2026-04-23
Discovery: Reported · Estimate: Reported · Quote: On broker site · Purchase in agent: Website handoff · Autonomous renewal: Not evidenced

What changed in the evidence?

Sigo opens agent-based motor quote-and-buy and InsuranceMCP directoryEvidence item dated 2026-10-01 · Announced

Sigo reports motor insurance quoting and in-agent purchase with selected carrier partners in Texas, plus an open InsuranceMCP directory.

Limit: Company claims, not independently tested. The release says Muse approval is pending; the Muse customer page describes web or WhatsApp completion. Preserve this journey discrepancy and Texas-only scope.

Sterling scales OpenDialog AI sales agent across 53 motor schemes after controlled conversion testEvidence item dated 2026-10-01 · Announced

OpenDialog reports that Sterling Insurance Services, part of Adrian Flux Group, deployed its Selma AI sales agent across all 53 Private Car schemes and then Short Term Car. In a controlled A/B test running January–August 2026, customers using the AI journey showed a 31.4% relative lift in quote-to-purchase conversion and a 9.3% relative lift in add-on attachment. Conversion lift reached 39–41% versus control in July and August. Selma detects likely quote abandonment and answers using the customer’s live quote, policy wording and IPID through Sterling’s API.

Limit: The primary evidence is a vendor case study and company press release, not independently audited. The source does not disclose sample size, absolute conversion rates, confidence intervals, customer cohort mix, premium or claims quality, complaint outcomes, cancellation rates, vulnerability outcomes, or whether add-on attachment improved customer value. The 31.4% figure is the January–August relative lift; 39–41% relates only to July and August and should not be described as the full-period result. The deployment is an on-site sales agent inside Sterling’s controlled journey, not an external personal agent shopping across marketplaces.

The Zebra connects Muse to personalised insurance comparison resultsEvidence item dated 2026-10-01 · Announced

The Zebra announces an agent-to-agent connector that lets Muse or Instinct extract policy details and declaration pages from user-authorised files, pass them to The Zebra’s data harness and take the consumer to personalised US comparison results. Users can also ask the assistant to enrol them in automatic rate tracking.

Limit: US marketplace and company announcement; live end-to-end performance was not independently tested. The consumer lands on The Zebra’s results page, carrier data is shared only after active selection, and the source does not establish autonomous binding, renewal switching, UK availability or platform endorsement.

Insurance implication

Conversational discovery and quoting can change acquisition routes. Intermediaries may adapt, and customer ownership may shift toward agent platforms.

Current response: Test

Watch next: Reassess when consented agent journeys produce incremental bound policies, lower fully loaded acquisition costs and acceptable retention, risk mix and customer outcomes.

An app launch does not establish autonomous buying, UK availability or lower acquisition costs.

Released sources

Download the underlying released evidence