Comparison / AIGIS resources
Microsoft Copilot is compelling for Microsoft 365 productivity. AIGIS addresses a different problem: governed access to operational enterprise data across CRM, ERP, ITSM, databases, and warehouses.
Executive read
Copilot is strongest in Microsoft productivity workflows.
AIGIS is strongest where operational system permissions matter.
AIGIS can use Microsoft-hosted models without locking governance to Microsoft.
The platform is designed for field-level governance and permission provenance.
Analysis
Summarizing a document is different from answering a governed question across CRM, ERP, support, and database systems. Operational AI needs the same security semantics as the systems it touches.
AIGIS focuses on that operational layer: object access, record visibility, field permissions, identity mapping, write confirmation, and audit-grade provenance.
AIGIS can route to GPT, Claude, Gemini, Bedrock, or private models while keeping the same governance pipeline in front of every model.
That separation matters because model decisions should be reversible. Governance decisions should be durable.
Some enterprises will keep Copilot for Microsoft 365 and use AIGIS for operational enterprise systems. Others will use AIGIS as the single governed AI surface across all connected systems.
The key is avoiding a world where every vendor AI can only see its own island of data.
Comparison
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Architecture
A practical architecture for enterprise AI governance middleware: identity resolution, live record checks, field stripping, model routing, write approvals, and audit provenance.
Architecture
Safe AI writes require explicit approval plus a fresh permission check at confirmation time, not only when the AI drafts the proposal.
Architecture
AIGIS records which systems were queried, which identities were used, which permissions were checked, and which fields were included or stripped.