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Magier AI
Move Innovation Into Production Without Losing Control
Insurance organizations are rapidly modernizing claims, underwriting, customer operations, and internal workflows with AI, automation, and a growing ecosystem of technology vendors.
The challenge is no longer finding innovative technology. It is getting that technology safely approved, deployed, and scaled across a highly regulated enterprise.
Magier provides the governance, security, and evidence infrastructure that helps insurance organizations move new technology from evaluation to production with confidence.
Magier gives technology, security, risk, and compliance teams a shared control layer to govern applications, AI models, agents, APIs, vendors, and enterprise workflows without adding unnecessary friction to innovation.
With Magier, organizations can:
• Accelerate Technology Adoption: Reduce the governance and security friction that slows new AI and automation initiatives.
• Operationalize Governance: Turn organizational policies and requirements into enforceable controls across live workflows.
• Streamline Risk & Vendor Review: Maintain visibility into systems, vendors, ownership, approvals, and risk as your technology ecosystem grows.
• Automate Evidence & Compliance: Generate evidence from real control decisions to support audits, procurement reviews, customer questionnaires, and regulatory requirements.
• Protect Critical Workflows: Apply approval, routing, access controls, masking, redaction, or blocking when required while keeping business workflows moving.
For AI deployments, Magier supports employee copilots, internal applications, RAG systems, model APIs, and agentic workflows, with controls and evidence that can support frameworks including NIST AI RMF, ISO 42001, HIPAA, and SOC 2.
Backed by Zeal Capital Partners, MARL Fund III, the Northwestern Mutual Accelerator powered by gener8tor, Techstars, and Prosper HealthTech, Magier has also been recognized as a TechCrunch Startup Battlefield 200 company.
Meet Magier at Booth GR-7 to see live runtime controls in action and discuss how your organization can move AI and automation into production with greater confidence.