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A new report from TrueFoundry, an enterprise AI infrastructure platform, reveals that most enterprises deploying AI agents today cannot fully audit how those systems operate, signaling a critical gap. Based on a survey of more than 200 enterprise AI leaders running agents in live production, the Enterprise AI Gateway Report 2026 finds that 76% lack unified logging across AI models and agent workflows, while 56% report having no centralized control or governance layer.
76% of enterprises lack unified logging across AI models and agent workflows.
56% report having no centralized control or governance layer for AI systems.
Inference is only 15-20% of AI production cost; remaining ~80% hides in orchestration, tool calls, and retries.
78% of enterprises run six or more active tool or MCP endpoints; more than half can't confirm endpoints are authenticated.
83% see significant token amplification in agentic workflows; only half have step-by-step tracing.
41% of organizations only see orchestration and tool call costs after the fact.
“Enterprise AI has crossed the production threshold,” said Nikunj Bajaj, Co-Founder and CEO of TrueFoundry. “The infrastructure gap between deployment speed and operational control is real, and it is growing. Organizations that do not address it now are accumulating compliance debt, security exposure, and cost overruns that become harder to unwind with every new model and agent they add.”
Hidden costs dwarf the inference bill. Inference is only 15–20% of AI production cost. The remaining ~80% hides in orchestration, tool calls, and retries. 41% of organizations only see these costs after the fact.
Half of enterprises can't trace their agents. 83% see significant token amplification in agentic workflows. Only half have step-by-step tracing in place. In regulated industries, this is an audit exposure.
The tool surface exploded before anyone was ready. 78% of enterprises run six or more active tool or MCP endpoints. More than half can't confirm those endpoints are authenticated. Every unreviewed endpoint is an attack surface and a compliance gap.
What you can't see, you can't govern. 76% lack unified logging across AI models and agents. 56% have no centralized control layer. In financial services, healthcare, and insurance, compliance audits are already flagging this.
The 2026 paradox. Tool ecosystem expansion is the number one investment priority, cited by 27% of respondents. Security exposure is the number one risk factor, cited by 31%. The tool surface enterprises are building is the direct source of the security risk they fear most.
TrueFoundry's AI Gateway, a single layer that sits between enterprise teams, agents, and every model and tool endpoint, provides the unified control plane that enterprises need to expand their AI deployments without compounding risk. The AI Gateway makes cost attribution actionable, agent behavior traceable, policy enforcement consistent, and compliance documentation possible.
TrueFoundry's report is based on 200+ verified responses from enterprise AI practitioners at the VP level or above, or senior individual contributors with direct production responsibility, at organizations with confirmed live AI agent deployments. Research was conducted from March through April 2026 across 32 survey dimensions. Enterprise AI teams can access the full report at the provided link.
TrueFoundry is an Enterprise Platform as a Service that enables companies to build, observe, and govern Agentic AI applications securely, scalably, and with reliability through its AI Gateway and Agentic Deployment platform. Leading Fortune 1000 companies trust TrueFoundry to accelerate innovation and deliver AI at scale, with over 1 trillion tokens per day processed via the TrueFoundry AI Gateway and more than 1,000 clusters managed by its Agentic deployment platform.
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