Cost Discipline Is the Missing Operating Model for Scaled AI

With the growing frenzy around generative AI (genAI), companies today are scrambling to instill AI into products and workflows while building production-ready use cases.

The core concepts leaders must focus on: Cost levers and weighing the trade-offs.

How can organizations optimize their AI costs without compromising outcomes? How can tech leaders weigh the trade-offs between cost reduction and value optimization?

This report outlines Forrester’s best-practice framework and the key levers organizations need to understand for effective AI cost optimization. EdgeVerve recommends this framework for CEOs seeking to build sustainable AI initiatives, enabling them to strike a balance between cost and results while confidently scaling AI enterprise-wide.

Transition to a cohesive, platform-based strategy for effectively harnessing Agentic AI

Role of EdgeVerve AI Next in equipping organizations with an agentic workforce

Getting AI costs under control to maximize business outcomes

Leveraging AI cost levers to make informed trade-offs between cost, performance, and AI efficacy risk

Establishing a financial backbone that puts cost in the context of AI ROI

EdgeVerve Contributors