How PMO leaders are actually using AI in 2026
New data from 300+ PMO and project leaders on where AI is actually landing in portfolio work – and where it's stalling.
Key Takeaways
Where AI is actually embedded in day-to-day portfolio work right now, versus where it's still stuck at the pilot stage
The challenges tripping up teams trying to manage AI across delivery – straight from the survey data
What separates teams seeing real results from AI from teams still waiting for it to pay off
Where legacy PPM and SPM tools are running out of road, and what leaders are doing instead
Every PMO leader is getting the same question from leadership right now: What is AI actually doing for us?
We surveyed over 300 PMO and project leaders for Tempo's 2026 State of AI in Portfolio Management report, and the results don't look like the usual AI hype cycle.
91% of teams are already piloting or using it somewhere in delivery, but ask five people on the same team where it's working, and you'll get five different answers. That gap between "we're using AI" and "we can prove it's paying off" is exactly what this session is built to close.
On October 14th, we're putting four people who live in this problem every day – from Eficode, Isostech, Adaptavist, and Tempo – in one room to walk through what actually separates the two groups.
This isn't a lecture: You'll benchmark your team against the survey data live, ask the panel the questions your own leadership has been asking you, and walk away with a straight answer to whether your AI approach is working or just running.
Save your seat – the recording goes out after, but the polls and the Q&A only happen live.
