Controlling AI Costs in Federal Agencies Starts Here

Federal leaders face growing pressure to deliver secure, efficient, and accountable AI solutions — but budgets can quickly spiral out of control. Where are the hidden costs? Which strategies actually work? Our full white paper, available exclusively to download, goes beyond the basics with real-world case studies, cost ranges, and proven frameworks federal peers are already using.

Introduction

AI adoption is accelerating fast — with 1,700+ use cases across 37 federal agencies in 2024 alone. That’s more than double the previous year. But as adoption grows, so do costs. Which expenses are unavoidable, and which can be controlled? How can agencies align AI ambitions with limited resources? This guide breaks down the top cost drivers and highlights lessons learned across government.

How Requirements and Design Choices Influence Each Cost Factor

The choices you make in designing and deploying AI can make or break your budget. Discover how Agentic AI and financial guardrails like FinOps are reshaping the cost conversation.

Ready to Take Control of AI Costs?

Federal agencies are moving fast on AI adoption — but budgets can’t afford guesswork. Our exclusive white paper gives you:

• Real-world cost ranges for AI initiatives (Traditional → GenAI → Agentic AI)
• Lessons learned from federal peers already deploying AI
• Frameworks like FinOps to keep cloud costs accountable
• Practical tools to plan smarter and avoid budget pitfalls