The Problem We Solve
The problems AgentMD addresses are widely recognized and actively hindering enterprise AI adoption.
1. Agent Sprawl & Integration Chaos
Enterprises are drowning in disconnected AI agents. Organizations use an average of 12 agents today, expected to reach 20 by 2027. Yet ~50% operate in isolated silos, and 4 in 5 IT leaders believe agents will create more complexity than value due to integration challenges.
How AgentMD helps: One AGENTS.md file, one spec, all compatible agents. Unified workflows instead of silos.
2. The Governance & Control Gap
Only 6% of organizations have advanced AI security strategies. 60% have no formal governance framework. 69% of agentic decisions still require human verification—agents aren't trusted. 100% of organizations have agentic AI on their roadmap, but governance lags far behind.
How AgentMD helps: Built-in guardrails, approval workflows, policy rules, audit logs. Control, not just observation.
3. Unreliable Agent Execution
50% of agentic AI projects remain in proof-of-concept. 61% have fragmented logs with no unified audit trail. 77% cannot trace data provenance. The industry needs systems that execute reliably and auditably.
How AgentMD helps: We don't just observe—we execute workflows from AGENTS.md. Full traceability, unified logs.
Market validation
- AI governance market: $4.83B by 2034 (35–45% CAGR)
- 91% planning to increase agentic AI budgets
- 85% believe it will be table stakes within 3 years
“Monitoring without enforcement leaves organizations exposed when something goes wrong.”
That's exactly what AgentMD fixes. Get started free · Why execute vs. read-only