WHAT OUTSANE DOES

• Target state architecture
• Operating models for technology teams
• Capability and component maps
• Migration plans that avoid chaos
• Cloud, data, and integration blueprints
• Architecture for underwriting, claims, pricing/risk, and speciality insurance systems

Outcome:

A system landscape you can actually run, grow, and govern.

• Design AI-ready data structures
• Establish governance that isn’t theatre
• Define AI operating models
• Integrate agentic workflows safely
• Align automation with actual business constraints
• Move beyond AI veneer and into the real leverage

Outcome:

AI that reduces work instead of increasing it.

• API-first modernisation
• Real-time event pipelines
• Pricing & risk engine upgrades
• Integration with cloud services
• Blueprinting and stabilising core systems
• Data platform architecture (Azure, Databricks, Snowflake, SQL)

• Boards and ExCos facing complex technology decisions
• CTOs needing an honest external architecture view
• Organisations evaluating vendors or platforms
• Teams stuck in analysis paralysis
• AI governance and operating model design