03InsuranceLarge enterprise
Accelerating first notification of loss
A SAM digital employee guides policyholders through claim intake, document collection and triage across voice and messaging.
Illustrative scenarioAll results shown below are modelled, not verified client outcomes.
THE OPERATING CONTEXT
A realistic starting point.
Storm events create sudden demand, long waits and inconsistent first-notice information. Claims teams spend valuable time obtaining details that could have been captured at first contact.
THE AIIT SOLUTION DESIGN
A digital employee built around the work.
SAM conducts a structured first-notification journey, retrieves permitted policy context, captures loss details, requests supporting material and applies deterministic triage rules. Vulnerable customers, severe losses and uncertain coverage questions move immediately to specialists.
END-TO-END WORKFLOW
From first contact to a useful outcome.
- 01
Verify the policyholder using approved controls
- 02
Retrieve relevant policy and insured-property context
- 03
Capture event, damage and safety information
- 04
Request photographs and documents through a secure link
- 05
Apply rules for severity and specialist routing
- 06
Create the claim and hand over a concise case summary
MODELLED OUTCOMES
What a well-run scenario could change.
Planning estimates only. Not a promise, forecast or report of actual AIIT client performance.
Average intake time
Peak abandonment
Manual follow-ups
ASSUMPTIONS
The conditions behind the model.
These boundaries make the scenario interpretable. Change the demand, workflow mix, integration quality or adoption rate and the potential outcomes change as well.
Figures model a severe-weather month rather than annual averages
Coverage decisions and settlement authority remain with authorised claims staff
Triage uses insurer-approved rules, not unconstrained model judgement
Document completion excludes customers who choose assisted service
A CONTROLLED PATH TO VALUE
How this scenario could be implemented.
Map the first-notice data contract and escalation rules
Ground responses in approved policy and event information
Connect claim creation and secure document capture
Run catastrophe simulations before controlled release
DESIGN LESSONS
What matters beyond automation.
Completeness matters more than conversational length.
Severe-event language needs direct priority routing.
Human claims teams should see both captured facts and unresolved questions.
About this scenario: AIIT created this fictional, anonymised operating example to support planning conversations. The figures are calculations based on the assumptions shown above; they do not represent an existing client, testimonial or guaranteed result.
Model the opportunity in your organisation.
We can replace these assumptions with your contact volumes, workflows, service targets and operating costs.
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