California agencies have moved past AI exploration—the challenge now is scaling safely. While early pilots show promise, leaders face a critical inflection point: how do you balance federal acceleration directives with strict state compliance (EO N-12-23, SB 896) without creating operational bottlenecks?
Join Linxar.ai and Darwin AI as we move beyond frameworks to show you exactly how to operationalize AI governance. We will walk through a real California agency usecase from intake to production, breaking down actual decision gates, timelines, resource requirements, and cost structures.
What You Will Learn & Take Away:
- Tailored Governance Models: Build a structure that fits your agency's specific size, maturity, and operational budget.
- Prioritization Scorecard: Evaluate which automation use cases (benefits, permits, or internal ops) justify their implementation cost and risk.
- Compliance Playbook: Run risk assessments and vendor evaluations that satisfy state and federal mandates without creating bureaucratic friction.
- Cost & ROI Realities: Look at transparent cost structures and ROI timelines for the 4 most common agency automation types.
- "First 100 Days" Action Plan: Get immediate templates for executive sponsorship, funding alignment, and team upskilling.
