Mission Control for Enterprise AI.
The ModelOp Enterprise AI Command Center is the system of record where enterprise AI leaders manage ML, GenAI, Agentic AI, and vendor AI through workflows and operational intelligence, operating above MLOps, GRC, ITSM, secuirty, and data management.
Know what AI exists,
who owns it, and what it costs.
The Enterprise AI Command Center integrates with and sits above your existing AI stack — unifying MLOps, AI execution, security, GRC, ITSM, and data infrastructure into a single operating layer.
The centralized source of truth
for every AI asset.
A dynamic, searchable registry of every AI solution across your organization — ML models, GenAI, agents, vendor tools, and AI embedded in SaaS. Closes the Shadow AI gap so leaders know what AI exists, who’s accountable for it, where it runs, and how it is performing.
- Centralize your entire AI inventory.
1st- and 3rd-party, ML, GenAI, agentic, and traditional models—automatically synced from your preferred AI and agentic development tools. - Enterprise AI discovery.
Continuously finds unregistered AI —custom GPTs, agents, MCP-connected tools — and brings them under one system of record. - Documentation and metadata capture.
Code, prompts, agent cards, configurations, dependencies, and data usage — captured automatically across the lifecycle. - MCP and A2A import.
Bring agents and tools from the broader ecosystem into the same system of record.
Automated workflows that move AI from idea to production.
Standardize how AI enters, gets reviewed, and reaches production. Self-service, role-based workflows orchestrate every stakeholder team and system.
- Standardize use-case intake.
Every AI initiative starts with clarity — purpose, data, risks, controls — routed through the right stakeholders. - Automated risk classification & tiering.
Instantly identify high-risk AI requiring deeper oversight, aligned to your internal policies. - Approval workflows across every team.
Security, Privacy, Data, IT, Architecture, Legal, Risk, Compliance — orchestrated in one traceable workflow.
Controls enforced at every step of delivery — not in committee.
Map controls to your policies and global regulations — EU AI Act, NIST AI RMF, OCC SR 11-7 (SR 26-2), ISO 42001 — and enforce them automatically across every AI system, including LLM-based and agentic ones.
- Map controls to frameworks & regulations.
Right controls applied based on risk tier, geography, model type, and whether the system is LLM, MCP, or agentic. - Automate policy compliance & enforcement.
Risk-based workflows that validate controls, trigger required reviews, and block non-compliant actions. - Enforce runtime policy at the AI gateway.
Integrates with AI and API gateways to enforce policy, controls, and guardrails on live AI traffic (i.e. AI execution time) — not just pre-production approvals. - Regulator-grade audit trail.
Defensible model cards, validation summaries, and evidence — captured automatically across the AI lifecycle.
See what AI costs. See what AI returns.
Continuously monitor every AI system for bias, drift, performance, and cost. Captures real-time consumption — token usage, tool invocations, throughput — so CIOs and CFOs get portfolio-level visibility into AI spend and ROI.
- Monitor AI for risk continuously.
Bias, drift, performance, data stability, prompt vulnerabilities — across ML, GenAI, and agentic systems. - AI FinOps, built in.
Real-time token usage, cost, throughput, and tool invocations — by team, business unit, or use case. - Prioritize AI by value.
Portfolio dashboards by business unit, geography, lifecycle stage, and risk tier — to scale what works, pause what doesn’t. - Automated alerts & documentation.
Model cards, validation summaries, and SLA breaches — surfaced before they become incidents.
Built for the way enterprise AI actually gets delivered.
All AI, one platform
ML, GenAI, agentic, 1st-party, 3rd-party, traditional — managed and governed as one portfolio.
Vendor agnostic
Freedom of choice. No lock-in. Integrates with the AI stack and enterprise tech you already run.
Interoperable
Native integrations across MLOps, GRC, ITSM, Data, Security — orchestrating your existing systems.
Your environment
On-prem, private cloud, or hybrid. No data movement. Regulator-ready by default.
Scalable
Self-service, role-based workflows. Unlimited seats so every stakeholder works in one source of truth.
Move from fragmented AI to industrialized AI delivery.
Faster time-to-value
Compress idea-to-production from months to weeks with automated, role-based workflows.
Full portfolio visibility
One system of record across ML, GenAI, agentic, 1st- and 3rd-party AI. No more spreadsheets.
Enforceable policy
Managed AI risk, consistent compliance, & complete audit trail protect the enterprise.
Actionable insights
Continuous monitoring of performance, cost, and value — so leaders can maximize ROI.
Frequently asked.
Quick answers for AI, governance, and technology leaders evaluating the Enterprise AI Command Center.
See the Command Center in action.
Request a live demo of the Enterprise AI Command Center to see how ModelOp can help your organization industrialize AI delivery.
