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 build the assessment around specific questions, audiences and markets. These examples show the kinds of journeys we can examine; the final scope follows 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?
How SWLR can help
Evaluate representation and prepare accountable workflows.
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 define the business questions, references, AI surfaces and teams involved. Access requirements and dependencies are agreed before the assessment begins.
02
Review the evidence together
Findings distinguish observed answer behaviour from the underlying content, data or workflow issue. Your teams help establish which changes are material and feasible.
03
Choose the next action
The roadmap sets out priorities, owners, dependencies and validation. Where a pilot makes sense, we scope the implementation and evaluation work with the relevant teams.
Evaluation
Measure the changes that matter.
We agree the criteria before making changes. Answer samples are recorded with their questions, market, surface and date. Repeat checks help show patterns within that scope; commercial outcomes and internal workflow gains need their own evaluation 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 brings an AI visibility and readiness remit to Ayima's enterprise search background. We connect the business question to the content, data, access and technical work behind it, then help teams prioritise the next steps.
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.