AI transformation · Insurance
AI transformation in insurance: from the first workflow to an AI-native operation
AI transformation in insurance means rebuilding how underwriting, claims and distribution work so agents handle the volume and people handle the judgement. It starts with one high-volume workflow in production within weeks and reaches every department within months. The insurers that move first set the turnaround everyone else is measured against.
Featuring insights fromShaun Devan · Founder & CEOUpdated · 3 min read
What changes when an insurer becomes AI native
In most insurance operations, people move files: they read a submission, key it into the policy system, check a database, write a note and pass it on. In an AI-native operation, agents do the moving and the checking, and people spend their day on the decisions only they can make.
The org chart barely changes. What changes is what each role does with its time, how fast a file moves, and how much the business can write without adding headcount to keep up.
| Today | AI native | |
|---|---|---|
| Submissions | Keyed by hand, worked in arrival order | Read on arrival, pre-filled, ranked by appetite |
| Endorsements | Wait hours behind new business | Decided in under a minute where the rules allow |
| Underwriters | Split between data entry and judgement | Work only the files that need judgement |
| Claims intake | Re-keyed from emails and calls | Captured, classified and routed with the policy attached |
| Management | Monthly reports, assembled by hand | Every decision and its reasoning on record, live |
The roadmap, department by department
- Weeks 1 to 2: map. Every workflow in underwriting operations, claims and distribution, with its volume, wait time and the checks it involves, ranked by impact.
- Weeks 3 to 8: first workflow in production. Usually endorsements or submission intake, with written authority for the agent and a full record of every action.
- Months 3 to 6: the department. Every high-volume workflow in underwriting operations running with agents; underwriters trained to review, override and extend them.
- Months 6 to 12: the business. Claims, renewals, distribution and finance follow the same pattern, on shared foundations for documents, data and approvals.
Governance regulators and boards will ask about
Insurance regulators expect insurers to govern how they use AI. The NAIC's model bulletin on insurers' use of AI systems, adopted in December 2023 and taken up by a growing number of states, asks for a written program covering accountability, risk management, documentation and oversight of third-party systems.
An AI-native operation is easier to govern than a manual one, if it is built that way from the start. Each agent works within written authority, every decision is logged with its inputs and reasoning, people can review and reverse any action, and the system is tested against historical decisions before it goes live.
Bringing your people with you
Transformation fails when it happens to a team rather than with it. Underwriters help define what the agents may decide, review their work in the first weeks, and own the rules after handover. Champions in each team learn to extend the agents themselves.
The outcome is a team that writes more business with the same people, and spends its time on the work it was hired for.
How to measure the transformation
- Share of decisions made with no underwriter involved, by line and workflow
- Quote turnaround and hit ratio with retail agents and brokers
- Premium written per underwriter
- Expense ratio movement attributable to operations
- Hours of queue time returned to the business each month
Case study · TIE
TIE decides transportation insurance endorsements in under a minute.
Native helped TIE, a US transportation insurance MGA, put agents on every submission and endorsement pack. They check each one and either decide it or hand the underwriter a pre-filled decision, and 74% of decisions now need no underwriter.
Frequently asked questions
What is AI transformation in insurance?
It is the move from people moving files between systems to agents doing that work, with people making the decisions that need judgement. It covers underwriting, claims, distribution and finance, one workflow at a time.
How long does AI transformation take for an insurer or MGA?
The first workflow is usually in production within weeks. A whole department, such as underwriting operations, runs with agents within months, and the rest of the business follows over the year.
How do regulators view AI in insurance?
Regulators expect a written governance program. The NAIC's model bulletin asks insurers to document accountability, risk controls and oversight of AI systems, which a well-built agent system makes easy: written authority, logged decisions and human review.
Does AI transformation mean fewer underwriters?
It usually means the same underwriters writing more business, because their time goes to judgement instead of data entry. Growth no longer requires hiring at the same rate.
Where should an insurer start its AI transformation?
With the highest-volume workflow that follows clear rules, which is usually endorsements or submission intake. It shows impact within weeks and builds the foundations the next workflows reuse.
