Something I keep coming back to after a recent conversation... I was presenting to an agency C-suite team on creative production automation, specifically how they could use it to reduce turnaround times and production costs against a backdrop of increasing client expectations and disappearing margins. At some point they asked me what their competitors were doing. Honestly? Pretty much the same things; same tools, same red tape and same mind bending internal processes.But here's what struck me; while they were benchmarking against each other, their clients had been quietly getting on with it. Some had already started using automation to reduce what they were spending on agencies, others were producing assets faster internally but all of them were questioning why certain work needed to go outside at all. The agencies were looking sideways at each other and their clients were looking at what they could do for themselves. The question I encouraged the agency to ask is: Can our clients now do for themselves what they used to need us for? That feels like the more important benchmark. It’s not just about another agency doing the work better or cheaper. It’s that some of the work itself may stop being worth outsourcing once the client can automate enough of it in-house. I think agencies are just one example of a much broader pattern. The real pressure may not come from competitors, but from customers becoming more self-sufficient. What work in your world do you think clients will start doing for themselves first?

This is a space for people who are trying to understand how AI is actually being adopted inside real organisations, not just in theory, but in day‑to‑day work. I work in enterprise AI engagement, supporting teams as they navigate adoption, workflows, and the practical realities of bringing AI into businesses, especially around creativity, productivity, and advertising. What I’ve noticed is that most conversations about AI focus on tools, hype, or what might happen in the future. In practice, enterprise adoption is slower, messier, and far more human than people expect. A lot of the tension sits between what customers are asking for, what leadership expects AI to deliver and the people in the middle trying to make it real. This community is for those people in the middle: implementers, customer success and engagement managers, internal project leads, and AI suppliers who are living that gap every day. We’re here to share honest war stories, patterns, and challenges from inside that reality — what’s working, what isn’t, and where teams tend to get stuck. No hype. No jargon. No competition. Just practical insight and honest discussion in a place where you don’t have to pretend it’s all going smoothly. To start things off, what’s been the biggest tension or blockage with AI adoption in your work so far?