The full answer
Insurance products are workflow-heavy: a quote becomes a policy, a policy generates renewals and endorsements, and a claim moves through intake, assessment, approval and payment. We build those flows as configurable workflows rather than hard-coded screens, so product teams can change rules without a release. Our workflow automation and process management platform reflects this approach.
Typical builds include customer apps for quotes, payments, documents and claims with photo upload, an agent or broker portal with commission tracking, a claims console with assignment and SLA tracking, a field adjuster app that works offline, and integrations with core policy systems, payment gateways, e-signature and messaging. Our AI-powered sales CRM shows the lead and renewal pipeline tooling that distribution teams need.
AI is useful across the insurance lifecycle: extracting data from submitted documents, first-notice-of-loss assistants that gather claim details, image-based damage triage flagged for adjuster review, fraud signals, and support assistants grounded in your policy wording through retrieval over your documents. We evaluate every model with test sets before launch and keep humans responsible for coverage and payout decisions.
Insurers run on legacy core systems that are rarely replaced in one go, so we usually build the new customer and claims layer around the existing core through APIs and migrate in phases. Hosting is placed in your required region, with penetration testing before launch. Discovery maps your products, channels and systems before a fixed-scope proposal.