How to forecast and control your AI Spend with Pigment

How to forecast and control your AI Spend with Pigment.

AI adoption is scaling faster than most companies can financially govern it. As teams move from experimentation to embedding AI models, coding tools, and agents into daily workflows, AI is becoming a new and unpredictable cost center.

Join this product demo to see how Pigment’s AI Investment Planner helps organizations move beyond fragmented cost tracking and start managing AI spend as a business investment. You’ll see how teams can monitor consumption, forecast future costs, govern new AI initiatives, detect anomalies, and measure ROI by use case — all in one connected planning model.

In this session, we’ll cover how to:

• Build a centralized view of AI spend across providers, models, teams, projects, workflows, and use cases
• Forecast future AI costs based on usage trends, adoption assumptions, model mix, and planned initiatives
• Compare budget vs. actuals and allocate AI costs to the right teams, cost centers, projects, or initiatives
• Route new AI use cases through approval workflows across business, Procurement, IT, Finance, and leadership
• Prove ROI by use case and decide what to scale, optimize, or stop, based on cost, impact and return