LLM Token Cost Optimization and Budget Governance

Gain real-time control over LLM token spend with a platform built to track usage, enforce budgets, and optimize model selection without slowing teams down. Trussed AI helps enterprises connect AI costs to business outcomes, prevent overruns before they happen, and maintain audit-ready visibility across applications, agents, and workflows.

Dashboard showing LLM token usage and budget controls

Our Budget Governance Platform Services

Explore the core capabilities that help enterprises control AI spend, enforce budgets, and govern usage in real time.

Cost Governance

Monitor AI spend across teams, models, and applications with real-time visibility, budget thresholds, alerts, hard stops, and workflow-level cost attribution tied to business outcomes.

AI Control Plane

Centralize runtime governance for AI apps, agents, and developer tools with policy enforcement, audit logging, dashboards, reporting, and resilient model routing.

Agentic Governance

Authorize tool calls, data access, and workflow triggers before execution so agentic systems stay within policy boundaries as they scale.

Audit Assurance

Generate continuous audit evidence from every governed interaction, including policy results, model versions, timestamps, and data lineage for internal and external reviews.

Governance Advisory

Design governance strategies, workflows, training, and operating models that help organizations move from AI experimentation to production-ready control.

Model Optimization

Route requests to the most cost-effective model that meets quality requirements, improving efficiency without sacrificing reliability or governance.

Real-Time Cost Governance

Control LLM Spend With Confidence

Trussed AI gives enterprises a practical way to manage token consumption, enforce budgets, and improve ROI across AI applications. Instead of waiting for monthly reconciliation, teams get live usage tracking, spend attribution by project or business unit, and policy-based controls that can alert, limit, or stop costly activity. The result is tighter financial oversight, smarter model selection, and audit-ready accountability.

AI budget governance platform interface
Trusted Enterprise Results

Proven Outcomes

See how governed AI operations improve cost control, compliance, and production readiness.

"Trussed AI Control Plane transformed how we manage AI costs. Real-time spend attribution across our teams reduced LLM token spending by 35% in the first month alone."

Michael Chen

"We implemented Cost Governance and immediately identified that our development team was using expensive models unnecessarily. The runtime budget enforcement prevents cost overruns before they happen."

Sarah Patel

"As an llm cost optimization platform, Trussed handles our multi-model strategy perfectly. We route requests to cost-effective models automatically while maintaining quality thresholds across our GenAI applications."

David Morrison

"Our AI Governance Advisory engagement delivered results in weeks. Within 4 weeks, we had operational governance workflows live and reduced manual compliance overhead by 50%."

Jennifer Wu

"Cost Governance tracking shows exactly where every AI dollar goes by team and model. This visibility helped us justify AI investments to finance and prove ROI on each use case."

Robert Kwame

"The Agentic Governance module gives us confidence deploying autonomous agents at scale. Policy enforcement happens at every tool call and agent handoff, maintaining control as complexity grows."

Priya Sharma

"Using Trussed as an llm cost optimization platform lets us enforce budget thresholds that trigger alerts before overspend. The real-time controls save us thousands monthly on runaway token consumption."

Tom Richardson

"AI Audit and Assurance functionality generates compliance evidence automatically. Every AI interaction is logged with full chain of custody, eliminating the manual audit burden for our regulators."

Lisa Zhang

"Trussed AI Control Plane transformed how we manage AI costs. Real-time spend attribution across our teams reduced LLM token spending by 35% in the first month alone."

Michael Chen

"We implemented Cost Governance and immediately identified that our development team was using expensive models unnecessarily. The runtime budget enforcement prevents cost overruns before they happen."

Sarah Patel

"As an llm cost optimization platform, Trussed handles our multi-model strategy perfectly. We route requests to cost-effective models automatically while maintaining quality thresholds across our GenAI applications."

David Morrison

"Our AI Governance Advisory engagement delivered results in weeks. Within 4 weeks, we had operational governance workflows live and reduced manual compliance overhead by 50%."

Jennifer Wu

"Cost Governance tracking shows exactly where every AI dollar goes by team and model. This visibility helped us justify AI investments to finance and prove ROI on each use case."

Robert Kwame

"The Agentic Governance module gives us confidence deploying autonomous agents at scale. Policy enforcement happens at every tool call and agent handoff, maintaining control as complexity grows."

Priya Sharma

"Using Trussed as an llm cost optimization platform lets us enforce budget thresholds that trigger alerts before overspend. The real-time controls save us thousands monthly on runaway token consumption."

Tom Richardson

"AI Audit and Assurance functionality generates compliance evidence automatically. Every AI interaction is logged with full chain of custody, eliminating the manual audit burden for our regulators."

Lisa Zhang

"Trussed AI Control Plane transformed how we manage AI costs. Real-time spend attribution across our teams reduced LLM token spending by 35% in the first month alone."

Michael Chen

"We implemented Cost Governance and immediately identified that our development team was using expensive models unnecessarily. The runtime budget enforcement prevents cost overruns before they happen."

Sarah Patel

"As an llm cost optimization platform, Trussed handles our multi-model strategy perfectly. We route requests to cost-effective models automatically while maintaining quality thresholds across our GenAI applications."

David Morrison

"Our AI Governance Advisory engagement delivered results in weeks. Within 4 weeks, we had operational governance workflows live and reduced manual compliance overhead by 50%."

Jennifer Wu

"Cost Governance tracking shows exactly where every AI dollar goes by team and model. This visibility helped us justify AI investments to finance and prove ROI on each use case."

Robert Kwame

"The Agentic Governance module gives us confidence deploying autonomous agents at scale. Policy enforcement happens at every tool call and agent handoff, maintaining control as complexity grows."

Priya Sharma

"Using Trussed as an llm cost optimization platform lets us enforce budget thresholds that trigger alerts before overspend. The real-time controls save us thousands monthly on runaway token consumption."

Tom Richardson

"AI Audit and Assurance functionality generates compliance evidence automatically. Every AI interaction is logged with full chain of custody, eliminating the manual audit burden for our regulators."

Lisa Zhang
The Trussed AI Difference

Why Choose Trussed AI?

Trussed AI combines runtime governance, cost control, and enterprise-grade oversight in one platform.

Runtime Control

Policies are enforced during live AI interactions, not after spend or risk has already occurred.

Cost Visibility

Track token usage and spend by team, workflow, provider, and application in real time.

Audit Readiness

Every governed interaction creates traceable evidence for compliance, internal review, and external audits.

Enterprise Expertise

Built by leaders with deep experience across Google Cloud, AWS, Adobe, Microsoft, and enterprise AI systems.

Meet The Trussed AI Team

Experienced founders building governed enterprise AI infrastructure.

Ajay Dankar, Co-Founder headshot

Ajay Dankar

Co-Founder

Ajay Dankar is Co-Founder of Trussed AI and brings nearly three decades of cloud product and engineering leadership to enterprise AI governance. His background spans Google Cloud, AWS, Adobe, PayPal/eBay, and Visa-acquired Finsphere, where he worked on scaling, reliability, fraud detection, and cloud cost optimization. At AWS, he led product management for Elastic Load Balancing and helped drive major adoption and infrastructure savings. At Adobe, he supported cloud cost optimization initiatives across large-scale platforms. Ajay now focuses on helping enterprises deploy generative and agentic AI with stronger governance, operational resilience, and financial control. He holds a master's degree in Electrical Engineering and Computer Science from the University of Florida and a Bachelor of Technology from IIT Delhi.

Branden McIntyre, Co-Founder headshot

Branden McIntyre

Co-Founder

Branden McIntyre is Co-Founder of Trussed AI and focuses on infrastructure that helps enterprises deploy AI reliably at scale. Across roles at Rakuten, Cisco, JustAnswer, and Oracle, he saw firsthand how organizations struggled to move from AI experimentation into production. He led AI prediction and machine learning initiatives that improved customer experience and platform efficiency, while exposing the need for stronger operational tooling and governance. That experience now informs his work building systems that make enterprise AI safer, more dependable, and easier to manage. Branden helps shape Trussed AI's approach to production readiness, governance, and scalable deployment for modern AI applications and agents. He holds an MBA from UC Berkeley Haas and a Master of Science from New York University.

Sunita Reddy, Co-Founder headshot

Sunita Reddy

Co-Founder

Sunita Reddy is Co-Founder of Trussed AI, where she leads AI, operations, and partner strategy for enterprise adoption of generative and agentic AI. With more than two decades of experience across product, AI, and design, she specializes in turning emerging technologies into scalable, enterprise-ready solutions. Her work at JustAnswer included integrating large language models into core workflows, building copilots, conversational interfaces, and human-in-the-loop systems that improved engagement and accuracy. Earlier roles at Microsoft and Accellion strengthened her expertise in product innovation, partnerships, and operational scale. At Trussed AI, Sunita helps organizations identify high-impact AI use cases and implement them with stronger governance, reliability, and business alignment. She holds a Master of Science in Computer Engineering from the University of Maryland.

Frequently Asked Questions

How can generative AI reduce costs?

Generative AI can reduce costs by automating repetitive work, improving employee productivity, and routing tasks to the right model for the right price-performance balance. A governance platform strengthens those savings by tracking token usage, attributing spend to teams and workflows, enforcing budgets, and preventing inefficient or unnecessary model calls before costs escalate.

What is the AI cost optimizer?

What are the four pillars of cost optimization?

How does LLM token cost optimization work in practice?

Can budgets be enforced in real time for AI usage?

How do you attribute AI spend to teams or projects?

Will cost controls slow down AI applications?

What should enterprises look for in an AI budget governance platform?

Still Evaluating AI Cost Controls?

Talk with our team about governance, budgets, and deployment options.

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Bring AI Spend Under Control

Share your AI usage goals and governance requirements, and we'll help you evaluate the right platform approach for cost visibility, budget enforcement, and scalable oversight.

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