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In recent conversations with IT and platform leaders, there’s a shift in the primary tension surrounding AI spend. Organizations have realized they can’t “sit out” on agentic spend, yet find themselves in a position similar to John Wanamaker’s marketing dilemma: half their token spend is likely wasted – they just don’t know which half. 

The question is no longer how do we minimize costs. Instead, the mandate has become: how do we manage spending to ensure the right impact and with the most visibility? Most enterprises treat AI spend as a productivity multiplier. Data shows 94% of IT leaders agree that AI agents significantly improve their teams’ speed and efficiency.

But adoption has outpaced governance, and that gap is now a material risk. In fact, 42% of companies abandon AI projects before they ever reach production. Closing this gap requires a unified visibility and control layer that treats AI consumption as a forecasted operating expense.

The challenge: Shadow assets and compounding costs

When AI tools are built in isolation, they become shadow assets invisible to central IT and unaccountable to the CFO. This lack of visibility is a primary roadblock to scaling because of three main factors:

  • Variable pricing models: Unlike traditional software with flat license fees, AI costs compound per token, per request, and per model 
  • Reactive budgeting: Most teams only discover they have overspent after the monthly bill arrives, when it is already too late to intervene   
  • Resource inefficiency: Without routing logic, simple tasks often hit your most expensive, high-reasoning models by default, leading to significant waste
Join Vijay at the whiteboard for a technical breakdown of using attribution, enforcement, and routing to govern the full stack of AI and API traffic.

The single gateway for the AI era

To move from reactive troubleshooting and cost retrieval to sustainable innovation, organizations need a foundation of trust for their AI strategy. This is where MuleSoft Omni Gateway comes in. Omni Gateway is the single AI gateway designed to govern your growing landscape of AI interactions and APIs. Whether you are running LLM calls, managing agents, or securing traditional APIs, Omni Gateway provides the consistent governance layer across your existing infrastructure. 

By leveraging this central AI gateway, you unlock three core capabilities:

  1. Unified attribution: You can’t manage what you can’t see. Omni Gateway provides granular visibility into which business group, application, and model is driving consumption. This allows procurement to manage a central token pool while ensuring clean chargebacks across the enterprise 
  2. Upstream enforcement: Trust is built through guardrails. Instead of post-facto alerts, you can set token budgets and rate limits that are enforced upstream, stopping overages before they occur. This ensures every LLM call is accountable and every action is traceable 
  3. Intelligent model routing: Not every task requires a high-reasoning model. Through semantic routing, the gateway matches each prompt to the most cost-efficient model based on the complexity of the work. This right-sizes your spend without degrading the quality of the output 

MuleSoft Agent Fabric is the control plane

If Omni Gateway is the enforcement point that governs every AI and API interaction, Agent Fabric is the enterprise agentic control plane that harnesses that power. Agent Fabric provides the single pane of glass to register, manage, and observe all your agent and MCP endpoints.  

While the AI gateway handles the governance (policies, tokens, and security), Agent Fabric answers the other pillars of the agentic enterprise: discovery, orchestration, and observability. It draws on the robust governance of Omni Gateway to ensure that as your agents move from proof-of-concept to production, every action is logged, audited, and attributable. 

Scaling with confidence

The goal of governance is to provide the foundation that makes it sustainable and to create business value. When policy applies consistently across the full stack, you remove the friction that typically forces teams to stall. Just as safety features are paramount on F1 cars to go fast, agent governance helps IT teams get agents into production faster and with more confidence. To learn more about trusted governance and maximizing your ROI, explore MuleSoft Omni Gateway.