Insurance
We work with insurance teams to understand how underwriting, claims, and distribution processes actually need to run — then build AI-accelerated software around that reality. Not another 5-year core system replacement. A glide path to modern operations.
The Problem
Launching a new product shouldn't take 6-12 months of vendor configuration. Your underwriting team knows what the market needs — the process should let them move at that speed. When product configuration, rating, and issuance run on a flexible, modern layer, new products launch in weeks.
Policyholders are waiting weeks for claims that should take days. Adjusters re-key data across 4-6 systems. Document intake is manual. Fraud detection is reactive. The claims process your team needs is simple: documents processed at intake, cases routed intelligently, and straight-through processing for the claims that don't need human judgment.
Agents and brokers want self-service quoting and binding. Policyholders expect the same digital experience they get from their bank. The distribution process shouldn't require a phone call and a PDF — it should meet producers and customers wherever they are, with real-time data flowing back to core.
The same evolution, tuned for carriers and MGAs: merge policy, claims, and billing data into one pool you own, stand up the custom platform that runs the book, build the roster of agents — and retire the modules that drag loss-adjusted expense.
The book runs on a legacy policy admin core, a separate claims system, a rating engine from another decade, and spreadsheets. The data is trapped — and straight-through processing is impossible.
First, policy, claims, and billing data merge into one governed pool you own. Not a sync — a migration. Watch the silos drain.
On that pool we stand up a custom platform — the purpose-built software that runs quote, bind, and servicing the silos used to.
A roster of AI agents runs the work, with underwriters and adjusters in the loop. We surround first, substitute, then sunset — the legacy modules go away, the book's data never does.
What We Do
Slingr embeds with your underwriting, claims, and operations teams to map the processes that drive your book of business — then builds AI-accelerated software around them.
Product configuration, rating, and issuance tools designed around how your underwriting team actually works — so new products launch in weeks, not months.
Intelligent document intake, automated triage, fraud scoring, and adjuster workbenches — built into the claims workflow, not bolted on as a separate layer.
Agent portals, broker APIs, and policyholder self-service built around your products and your distribution model — not a generic quoting engine.
Multi-state filing, compliance tracking, and audit-ready documentation automated into the workflow — so regulatory changes don't bottleneck your product launches.
The Value
How It Works
AI parses every conversation, document, and data source exchanged during kickoff to generate a structured scope and development roadmap — cutting weeks of back-and-forth into days.
We translate the roadmap into architecture and specs using AI to model workflows, identify integration points, and surface edge cases before a single line of code is written.
Our engineering pods use AI-assisted development to ship production-ready software in two-week cycles — writing, testing, and reviewing code at a pace traditional teams can't match.
After launch, AI monitors usage patterns, flags issues, and recommends optimizations. Your dedicated team stays on to iterate and scale based on real data, not guesswork.
Book a 15-minute strategy call. We'll map the process bottlenecks between your policy, claims, and billing systems — and show you how AI-accelerated software can modernize your operation without the risk of a full core replacement.
Book a strategy call