ModelOp Unveils Groundbreaking Governance Platform for Agentic AI, Giving Enterprises Full Control Over Autonomous Systems
ModelOp, the enterprise leader in AI governance and lifecycle automation, has just launched a first-of-its-kind platform to govern Agentic AI—marking a major evolution in how organizations manage and scale AI responsibly.
This new release makes ModelOp the only platform that both uses Agentic AI to modernize the AI lifecycle and governs Agentic systems themselves. These include autonomous agents, multi-agent ecosystems, and embedded third-party AI tools—all of which pose new and complex governance challenges for enterprises deploying AI at scale.
“As enterprises adopt agentic workflows powered by A2A protocols and MCP architectures, governance isn’t optional—it’s foundational,” said Jim Olsen, CTO at ModelOp. “Our platform offers the control and clarity organizations need as autonomous agents interact with critical data, tools, and decisions.”
Enterprise-Grade Control for a New Generation of AI
ModelOp’s platform now features two major innovations aimed at controlling and scaling Agentic AI:
Agentic AI Chat Interface
A secure, conversational interface for CIOs, CAIOs, and governance leaders to interact with AI governance insights in real time—using natural language. Stakeholders can query active AI agents, register new risks, or trigger AI lifecycle actions directly from a chat interface.
Governance Toolset for Agentic AI
ModelOp introduces three new services to manage agent-based AI systems:
- Agent Service – Approve, monitor, and block agents at the per-use-case level.
- Metrics Service – Track tokens, costs, and usage across agent-based AI use cases.
- Proxy Service – Enforce network-level controls and protections (e.g., blocking prompt injection attacks).
Together, they transform ModelOp Center into an “AI control tower”—governing ML, GenAI, and now autonomous agents—with full visibility and automated oversight.
Solving the Toughest Governance Problems in AI
Enterprise customers such as Fidelity Investments, Bristol Myers Squibb, and P&G already rely on ModelOp to scale AI safely. This new release extends those governance benefits to a wider set of intelligent systems and use cases, including:
- Full Agent Visibility: Maintain an always-on inventory of agents, use cases, and model components.
- Cost Control: Track and analyze token and compute usage to manage ROI and eliminate waste.
- Automatic Guardrails: Prevent unapproved or malicious agent activity with real-time blocking and policy enforcement.
- Audit-Ready Operations: Ensure every agent interaction is monitored, logged, and policy-aligned.
- Conversational Oversight: Use natural language to manage governance with speed and precision.
“We’re delivering the speed, scale, and trust enterprises need to innovate without losing control,” said Olsen. “AI governance isn’t a bottleneck—it’s an enabler.”
Join ModelOp at Ai4 2025: Scaling Trustworthy AI
ModelOp will spotlight this release during a fireside chat at Ai4 2025, titled:
“Achieving AI ROI Through Governance: How Prudential Financial Is Building a Responsible AI Framework to Scale Trustworthy Innovation”
- Featuring: Omodunni Ayodele, VP of Responsible AI at Prudential Financial
- When: Monday, August 11 at 3:10 PM PT
- Where: Booth #132, Ai4 2025, Las Vegas
Attendees are encouraged to schedule 1:1 sessions to learn how ModelOp enables measurable ROI through responsible, scalable AI governance.
Key Takeaways:
- First platform to govern Agentic AI at scale
- New Chat Interface for real-time oversight
- Three new services: agent, metrics, proxy
- Enterprise-ready controls for autonomous agents, GenAI, ML models
- Trusted by Fidelity, P&G, and Bristol Myers Squibb
Power Tomorrow’s Intelligence — Build It with TechEdgeAI.
