Agentic AI is Here. Is Your Tech Team Ready?
A one-page visual guide to the five skill areas your team needs to build, evaluate, and govern AI agents
AI agents are changing how we work, taking on tasks and decisions that once depended on human judgment. But greater autonomy puts new demand on people who build and manage AI agents.
The stakes are real: 40% of agentic AI projects are predicted to be canceled by the end of 2027 over rising costs and unclear business value. [1] What’s more, just 13% of organizations believe they have the right AI agent governance in place. [2]
The difference often comes down to skills. Top Capabilities to Master Agentic AI for Tech Teams breaks down the five capabilities that can help your team build and manage agents that deliver real business value.
What’s inside:
- Five capabilities to build that can help your team work confidently with AI agents, recognize potential risks, and maintain oversight as agents take on more responsibility.
- Practical metrics to test agents under realistic conditions and track success rates, latency, and cost.
- Key considerations for building reliable, cost-effective agentic AI workflows.
Give your technical teams the skills to design, evaluate, and govern AI agents with confidence and control.
Sources:
[1] Gartner: AI Agent Reality Check
[2] Gartner: Six teps to Manage Artificial Intelligence Agent Sprawl