Faster quotes, cleaner claims, tighter compliance.
Submissions arrive as email attachments, claims triage is manual, and renewal season eats the team alive.
70%+
of submission data extracted automatically
hours to minutes
first-notice-of-loss triage
100%
of renewals contacted on time
8
documented automations for this sector
Where insurance teams lose hours, and what replaces it.
Each one is a system we have specified and built before.
Submission intake and data extraction
- The manual process today
- Broker submissions arrive as varied spreadsheets and PDFs, rekeyed by underwriting assistants.
- What we build
- Automatic ingestion, extraction into your schema, completeness checking and an auto-reply requesting missing information.
- Typical impact
- Underwriters see clean, comparable submissions on day one.
First notice of loss triage
- The manual process today
- Claims are triaged in the order they arrive, not by severity.
- What we build
- Classification by severity, complexity and fraud signal, with routing to the right adjuster and an instant acknowledgement to the claimant.
- Typical impact
- Serious claims reach the right desk in minutes.
Claims document review
- The manual process today
- Adjusters read repair estimates, medical reports and invoices line by line.
- What we build
- Extraction and cross-checking against policy limits and coverage, surfacing inconsistencies for adjuster judgement.
- Typical impact
- Review cycles shortened; leakage reduced.
Renewal campaign automation
- The manual process today
- Renewals are worked from a spreadsheet and some clients are contacted late.
- What we build
- Automatic renewal pipeline with market comparison packs drafted per client and multi-channel outreach on a schedule.
- Typical impact
- Retention protected; brokers spend time on negotiation, not admin.
Coverage question assistant
- The manual process today
- Staff read long wordings to answer routine coverage questions.
- What we build
- An assistant grounded in your policy wordings and endorsements that answers with clause-level citations.
- Typical impact
- Answers in seconds with the source attached.
Complaints and regulatory reporting
- The manual process today
- Complaint logging and root-cause coding are inconsistent.
- What we build
- Automatic detection of complaints across channels, structured logging, root-cause classification and regulatory report drafting.
- Typical impact
- Regulatory deadlines met with an evidenced trail.
Fraud signal detection
- The manual process today
- Fraud is spotted only when an adjuster has a hunch.
- What we build
- Cross-claim pattern analysis over networks, documents and text, escalating scored cases to SIU with the reasoning attached.
- Typical impact
- Suspicious clusters surfaced that manual review would miss.
Quote comparison packs
- The manual process today
- Producing a client-facing comparison of five markets is a manual formatting job.
- What we build
- Automatic normalisation of quotes into a like-for-like comparison with a plain-English summary of coverage differences.
- Typical impact
- Comparison packs produced in minutes, consistently branded.
What insurance teams ask us.
Every automated classification stores its inputs, score and reasoning, and human decisions stay attached to the record so you can evidence any outcome to a regulator.
Yes. We deploy into your cloud tenancy where required, including private model endpoints and no data leaving your region.
Audits are a fixed fee and are credited against a build. Single-workflow builds typically land in the low five figures, multi-workflow programmes higher, and ongoing running and support is a fixed monthly fee. You get the number before we start, not a rolling hourly bill.
A first pilot on your real data usually runs within two to four weeks of the kickoff call. Full deployment with integrations and training normally lands between weeks four and eight.
Tell us what your insurance team keeps doing by hand.
Thirty minutes, no pitch deck. We map the process, tell you whether automation pays back, and give you a rough cost before you commit to anything.