We help enterprise teams architect, govern, and observe multi-agent AI systems in production. Secure by design, audit-ready for regulatory frameworks like MAS SAFR.
For CISOs · Chief Risk Officers · VP Engineering · Enterprise AI Architects — Finance & Healthcare
Production-grade patterns for running agentic AI safely at enterprise scale.
Why business use cases must drive AI infrastructureMulti-agent orchestration, deterministic System 2 rule engines, semantic routing (JEV/Laya), and agentic workflow integration.
OpenTelemetry tracing, token cost optimization (FinOps), tiered evaluation pipelines, and real-time execution monitoring.
Zero-trust Policy Decision Point (PDP) sidecars, loopjacking defense, cryptographic action-binding (H(A) ≡ H(B)), and MAS SAFR compliance.
Production-grade GCP & Azure architecture, Infrastructure-as-Code (Terraform), VPC networking, and resilient CI/CD pipelines.
Our open architecture patterns are designed to surface and prevent runtime failure modes before code is deployed — positioned around published, production blueprints and technical leadership rather than client logos.
Threat-model agentic workflows and define deterministic guardrails up front.
Enforce zero-trust policy decisions and cryptographic action-binding at runtime.
Trace, evaluate, and cost-optimize every agent execution in production.
Architecture deep dives published on articles.namitsehgal.com.
Pillars: Banking · Investment · Insurance
Production systems built and shipped in regulated industries.
Strategic frameworks for CTAIOs, CISOs, and boards sourcing, scaling, and governing enterprise AI.
Credentials across leading cloud and AI ecosystems — the foundation behind these architecture patterns.
Book a 30-minute AI Architecture & GovOps Consultation to discuss how to govern, observe, and secure your multi-agent AI systems in production.