Automate the manual work around old or fragmented systems — no full replacement required.
Many companies run valuable but outdated systems that are risky or expensive to replace — so employees become the integration layer between them. We design AI workflows that connect to existing systems and automate the manual work around them: reading documents, checking statuses, preparing responses, creating tasks, updating records.
Practical AI before transformation: a path to AI adoption with measurable pilots — while critical systems stay untouched.
Agent Layer is the productized execution foundation; this direction delivers discovery, integration, and client-specific implementation on top of it.
Core systems remain in place; automation grows around them in controlled steps.
Find the process where manual effort is highest and value easiest to measure.
Where information lives and how work actually moves.
What AI reads, extracts, prepares, updates — and what stays under human approval.
A focused workflow, team, and system scope with measurable indicators.
Expand to more processes and teams — gradual and controlled.
Claims intake, status updates, policy servicing, broker communication around legacy cores.
Email classification, response drafting, ticket creation, approval routing.
Faster operational execution, reduced manual workload, lower transformation risk — a practical path to AI adoption without replacing critical systems.
Yes — that is the point. AI workflows connect around the legacy system: reading documents, checking statuses, preparing responses, updating records via existing interfaces. The core stays untouched.
RPA replays clicks and breaks when screens change. This is AI-driven automation with understanding: document extraction, intent classification, cross-system reasoning — with human approval on judgment calls and an audit trail.
The automation survives the replacement: workflows, extracted data structures, and process knowledge transfer to the new core. Many clients use it as a controlled bridge — value now, lower-risk migration later.
AI agents on top of your existing systems — no core replacement.
Open Agent LayerAI applied across claims, underwriting, policy servicing, and call centers — where it creates measurable impact.
Open AI + InsurTechTailored AI workflows for document-heavy, multi-system business processes.
Open AI Custom