Robo-advisory insurance

Category: Tech distribution · Reviewed by Taylor Watts, Broker · New Business · Last reviewed 2026-06-10

Robo-advisory insurance is the automated delivery of insurance recommendations, suitability assessments or guided product selection through digital tools — typically rules-based or machine-learning-driven web applications — that replicate or partially replicate the role of a human adviser within the framework of the FCA Handbook.

Robo-advice was the subject of HM Treasury and FCA’s Financial Advice Market Review (FAMR), whose Final Report was published in March 2016 and led to the FCA’s Advice Unit within Project Innovate. The terminology is most commonly associated with retail investment advice under COBS 9, but it has been adopted in general insurance and protection markets where the regulatory standard is different — ICOBS does not impose the full suitability obligation but requires identification of the customer’s demands and needs (ICOBS 5).

Definition

Robo-advisory insurance describes a spectrum of automated services, including:

• Demands-and-needs questionnaires with automated product matching.
• Guided buying journeys that filter products by stated need.
• Personal recommendations within the meaning of Article 53 of the Financial Services and Markets Act 2000 (Regulated Activities) Order 2001 (RAO).
• Hybrid models combining automation with human adviser hand-off.

The regulatory treatment depends on whether the firm crosses the line into giving a personal recommendation and whether the relevant rules are ICOBS, COBS or both. For protection products (e.g. life, income protection, critical illness) sold through investment-style advice firms, COBS 9 applies; for pure general insurance, ICOBS 5 is the principal rule.

Legal and regulatory basis

The applicable UK framework includes:

• FSMA 2000 (Regulated Activities) Order 2001, Article 53 — defines “advising on investments”.
• FCA Handbook ICOBS 5 — identifying the customer’s demands and needs in general insurance.
• FCA Handbook COBS 9 — suitability for retail investment business, including protection products sold through investment advisers.
• FCA Handbook PROD 4 — product governance.
• FCA Handbook PRIN and PRIN 2A — Principles for Businesses including the Consumer Duty.
• FAMR Final Report, March 2016 — joint HM Treasury and FCA review of advice supply gaps.
• FCA, Project Innovate and the Advice Unit — sandbox and feedback functions for innovative advice models.

How it works in practice

A robo-advisory insurance journey is typically:

1. Information capture — risk and need-based questions through a structured web interface.
2. Algorithmic processing — rule-based or model-based mapping of inputs to a product or product range.
3. Output — either a personal recommendation (with COBS 9 / ICOBS 5 implications) or guidance with the consumer making the final choice.
4. Documentation — recommendation report or demands-and-needs statement preserved by the firm.
5. Oversight — model governance under SYSC; human adviser escalation paths where appropriate.

The Consumer Duty requires firms to test outcomes by customer cohort, identify foreseeable harm and demonstrate that the automated journey delivers good outcomes.

Common variations and subsequent developments

• Decision-tree / rules-based engines — explainable, deterministic logic.
• Machine learning / large language model layers — emerging cover; FCA AI Update (2024) and the FCA / Bank of England AI Public-Private Forum work apply.
• Hybrid advice — algorithm proposes, human approves.
• Direct-to-consumer protection sales — life and protection through digital journeys (e.g. Anorak, DeadHappy historically).
• Consumer Duty implementation — heightened scrutiny of vulnerable-customer treatment in automated journeys.

Example

A UK protection adviser deploys a digital tool that captures a consumer’s circumstances and family situation, applies an algorithm to identify suitable level term assurance products from a panel, and produces a personal recommendation. The firm operates under COBS 9 suitability rules and Consumer Duty PRIN 2A. The algorithm is documented and subject to model governance under SYSC; outputs are sampled by a compliance team for accuracy. Vulnerable customer indicators trigger a human-adviser hand-off, in line with the FCA’s “Guidance for firms on the fair treatment of vulnerable customers” (FG21/1).

See also

• Algorithmic broker
• API marketplace insurance
• Aggregator insurance
• Price comparison website
• Consumer Duty
• ICOBS
• Principles for Businesses

References

• HM Treasury and FCA, “Financial Advice Market Review Final Report”, March 2016.
• FCA Handbook: ICOBS 5, COBS 9, PROD 4, PRIN, PRIN 2A, SYSC.
• FCA, “Project Innovate” and the Advice Unit feedback statements (2016–).
• FCA, FG21/1 “Guidance for firms on the fair treatment of vulnerable customers”, February 2021.
• FCA, “Artificial Intelligence Update”, April 2024.
• Financial Services and Markets Act 2000 (Regulated Activities) Order 2001 (SI 2001/544), Article 53.
• EIOPA, “Artificial Intelligence Governance Principles” (June 2021).

This entry is part of the Apex Insurance Wiki. Last reviewed by Matt Bartlett on 2026-06-10. Next review: 2026-12-10.

Apex Insurance Brokers Limited. Authorised and regulated by the Financial Conduct Authority, FRN 724952. Registered in England and Wales, Companies House 07014570. This entry provides general information about UK insurance concepts and is not regulated advice. Consult your insurance broker on your specific position.