Context Is the New Oil for Agents
For production AI agents, unified governed context — MCP, knowledge graphs, qualified retrieval — matters more than model selection; agents without context hallucinate or fail compliance review.
For production AI agents, unified governed context — MCP, knowledge graphs, qualified retrieval — matters more than model selection; agents without context hallucinate or fail compliance review.
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Why context beats models
Models are commoditising. Your competitive moat in enterprise AI is whether agents can see core systems of record accurately, with field-level governance and audit trails.
Layer 01 of the 4-Layer Intelligence Stack — context engineering — is where Derisk360 starts every accelerator.
Practitioner perspective from production implementations
Focused on deployment risk — not model hype
Applicable to banking, insurance, and regulated enterprises
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Frequently asked questions
- What is Derisk360?
- An enterprise AI services firm running accelerators and production implementations with embedded FDEs.
- Who writes Derisk360 insights?
- Practitioners — Forward Deployed Engineers and delivery leads with production experience in regulated enterprises.
- How do I apply this insight?
- Book a discovery call at derisk360.com/book. We map your use case and scope a governed production accelerator.