The governance layer
every AI deployment needs
Enterprises are racing to deploy AI agents. But boards, regulators, and CISOs are pumping the brakes — because no one has solved governance. Until now.
Why SageOS, why now
$47B TAM
Enterprise AI governance and agent orchestration market, growing 34% CAGR. Source: Gartner, IDC projections.
Governance-First
Only platform built governance-first — not bolted on. Policy engine, approval chains, and audit trails as core architecture.
Pilot-Ready
Working product with 3-tier approval engine, M365 integration, audit logs, and evidence pack generation. Not a prototype.
Design Partners
Active conversations with enterprises in fintech, insurance, and managed services for pilot deployments.
M365 Moat
Native Microsoft 365 integration creates a natural moat — enterprises already have the infrastructure. SageOS is the governance layer.
Land & Expand
Start with one department (Security, IT, Ops), prove governance, expand to full autonomous operations across the organization.
Demonstrated capabilities
Real, working software — not slides. These capabilities are built, tested, and ready for enterprise pilots.
What's Working
- 3-tier approval engine with Teams-native approval cards
- M365 executor identity with full Graph API integration
- Policy engine with 85+ configurable rules across 7 categories
- Immutable audit log with timeline visualization
- Evidence pack auto-generation (PDF + structured data)
- SharePoint upload with metadata tagging
- Kill switch (per-agent and org-wide)
- Multi-agent orchestration with task routing
Next Milestones
- First enterprise pilot deployment (Q1 2026)
- Tenant resource resolver for automated provisioning
- Role-based dashboards for security and ops leads
- On-call routing engine with scheduling integration
- SLA monitoring and enforcement framework
- Integrations catalog (v1) for common enterprise tools
- Policy template library for regulated industries
- Evidence pack standardization for SOC 2 / ISO 27001
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