01 / Customer question
The commercial context
Cover explanations need the conditions that change the answer.
An explanation of cover changes when exclusions, limits, endorsements or eligibility are omitted. AI may mention an insurer without preserving the conditions that determine whether a product fits the customer's needs.
Personal lines, commercial insurance, life and protection, specialty and reinsurance require different journeys. We assess applicable wording and distribution information alongside permissioned colleague workflows. Underwriting, pricing and claims decisions retain their own accountable specialist owners.
Customer journeys
Evaluate cover, distribution and colleague questions.
We agree the questions, audiences and markets to assess. The examples below show what we can investigate, with the final scope based on your priorities.
02 / Customer question
Does a quote/provider comparison distinguish direct, broker and comparison-site routes?
03 / Customer question
Can an authorised underwriter or claims colleague retrieve relevant wording/documents with traceable support?
01
Coverage and journey research
We evaluate agreed scenarios against dated policy wording, endorsements and approved product information. The findings distinguish presence from material coverage errors and omissions.
You receive: Coverage/material-omission baseline and issue register.
02
Distribution and knowledge architecture
We review public direct or broker information separately from private underwriting and claims knowledge. Recommendations cover document applicability, update ownership, permissions and useful information architecture.
You receive: Information and document-access priorities.
03
Evaluated workflow pilots
We scope FNOL assistance, document summarisation or broker servicing with the relevant specialists. A pilot defines quality measures, review boundaries and escalation for decisions requiring human judgement.
You receive: Pilot specification, review boundaries and quality measures.
Internal AI readiness
Keep underwriting and claims decisions accountable.
Applicable policy versions and sensitive records need clear permissions and traceability. We assess document retrieval, audit records, reviewer roles and workflow changes before proposing internal assistance.
Faster handling is not a reason to automate a denial or pricing decision without appropriate authority. Reinsurance tasks may focus on treaty research and technical or broker knowledge rather than consumer quotes. Evaluation follows the selected line, task and specialist requirements.
A practical first engagement
Insurance AI Coverage & Workflow Assessment
We agree business lines, markets, channels, policy wording and endorsements, reviewer roles and candidate tasks. You receive coverage findings, document-access and evaluation gaps, workflow business cases and a prioritised roadmap for information improvements or an accountable pilot.
01
Agree the scope
We agree the business questions, reference sources, AI platforms and teams involved. Before the assessment begins, we confirm the access needed and any work it depends on.
02
Review the evidence together
We separate what the AI answer shows from the content, data or workflow issues behind it. Your teams help decide which changes matter and which are feasible.
03
Choose the next action
The plan identifies the priorities, who is responsible, what each change depends on and how it will be checked. If a pilot is worthwhile, we agree how to run and evaluate it with the teams involved.
Evaluation
Measure the changes that matter.
We agree how to evaluate results before making changes. Each answer is recorded with its question, market, AI platform and date. Repeat checks help identify patterns. We assess commercial results and improvements to internal workflows separately with your teams.
Coverage and exclusion accuracy
Policy-version applicability
Qualified quote demand where relevant
Handling and review quality
Part of Ayima
Technical search expertise. Practical enterprise thinking.
SWLR combines AI visibility and readiness consulting with Ayima's experience in enterprise search. We investigate the content, data and technical issues behind your business question, including access permissions, then help your teams decide what to do next.
Common questions
Before we begin.
Can we improve discovery without oversimplifying cover?
Yes. Scenario evaluation identifies the conditions that materially change an explanation. Approved wording and references inform clearer information. Representation is checked for exclusions and limits rather than measured only by recommendation volume.
Does this include automated underwriting or claims decisions?
Assistance and decision authority are separate scopes. Document retrieval, summarisation or FNOL support can be evaluated with defined review. Automated underwriting, pricing or claims decisions require additional authorisation, specialist assessment and controls.
How does the approach change for reinsurance?
Reinsurance may prioritise technical research, treaty information and broker workflows. We scope the knowledge, permissions and evaluation around those tasks instead of assuming a retail-customer quote or acquisition journey.
Signal → Evidence → Action
Start with the questions that matter.
Discuss the business lines, policy information and colleague workflows you want to assess.
Discuss your AI strategy