Challenges, goals, and practical steps forward
AI is dominating boardroom conversations — but without automation maturity, most AI initiatives stall.
While 95% of generative AI investments are reportedly delivering little value, global research shows a different story: leaders who combine AI with structured automation strategies are seeing measurable impact.
The question isn’t whether to automate. It’s whether your organization is structured to scale it.
So where do you stand?
This guide outlines the four stages of automation maturity, from reactive, siloed automation efforts to enterprise-wide orchestration driven by governance, alignment, and measurable ROI. Each stage presents distinct challenges and clear next steps.
Why does this matter to IT or transformation leaders?
- Automation is no longer a productivity project. It’s an enterprise risk and growth strategy.
- Organizations that reach automation maturity align IT and business around shared KPIs.
- Without automation, even the best AI ambitions struggle to move beyond experimentation.
Whether you’re evaluating current initiatives or planning your 2026 technology roadmap, this guide will help you assess where you are and what to prioritize next.
