Enterprise AI Workflow Governance — Cromus
Cromus gives enterprise teams the pre-execution intelligence layer for AI workflows — governance, cost visibility, SOP modernization, and security at scale. All intelligence is deterministic with zero external LLM calls.
Enterprise AI deployments fail because of ungoverned workflows — SOPs that were never modernized, costs that weren't modeled before production, and governance that lived in policy documents instead of the infrastructure. Cromus addresses four compounding enterprise problems: cost surprise, governance debt, SOP modernization backlog, and security gaps.
The full pre-execution intelligence stack includes: SOP Modernization at Scale with AI readiness scoring (0–100), Cost Governance with simulation across 30+ verified models from 7 providers, Croms waste scoring across cost (35%), latency (25%), failure risk (25%), and structural gaps (15%), ETHOS.md governance infrastructure for auditable behavioral specs, Reality Check Loop for closed-loop accuracy learning, Upload Security Scanner for multi-layer file safety, and CO2 Impact Estimation for ESG reporting.
Built for enterprise environments: deterministic intelligence, PostgreSQL-backed with server-side plan enforcement, team workspaces with shared libraries, white label option, and export to LangGraph, CrewAI, AutoGen, n8n, and more. Enterprise plan: $499/mo with unlimited seats, dedicated onboarding, priority support, and custom integrations.