95%
of AI pilots stall at proof-of-concept without delivering ROI (MIT NANDA, 2025)
70%
of enterprise leaders say AI agents are now central to their business roadmap (Genesys, CX Leaders AI Survey 2024)
18–36
months is the average timeline to build AI agents fully in-house (Gartner surveys 2024)
6–12
weeks is the typical time to value when buying from a vendor (DevRev Bolt case 2025)
Guide
What’s inside
Most AI pilots look flawless in a demo. They fail when they are asked to scale. Costs rise, integrations slow, and ROI slips further away. A data-backed look at why pilots stall and how to make the right build, buy, or hybrid call.
- What in-house AI agent development really demands
- The flexibility trade-offs with vendors
- Why most enterprises now choose a hybrid approach
- How to gauge readiness across data, governance, and MLOps
By clicking 'Download now', you agree to our Terms of Service and Privacy Policy.
FAQs
AI agents are autonomous systems that can handle workflows, make decisions, and interact across enterprise apps. In practice, they go far beyond chatbots but how they scale depends on whether you build or buy. (Full breakdown in the guide.)