There’s a phrase I’ve been hearing more and more lately: “pilot purgatory.” And candidly… it fits. Organizations aren’t struggling with whether agentic AI works, they’re struggling with how to make it matter at scale. That’s exactly what I had the chance to unpack in a recent TechTarget conversation with David Essex: https://deloi.tt/48f2KTc
Here’s the truth as I see it: this isn’t a technology problem. The tech works. What’s often missing is clarity of vision — what are you actually solving for, and where do you want AI to create value? Cost? Growth? Experience? If that north star isn’t clear, pilots stay exactly that… experiments without a path to enterprise impact.
The second unlock — and this is where it gets real — is discipline. Too many pilots are built in isolation, optimized for a moment instead of designed for scale. If you’re not thinking about data, governance and orchestration at the start, you’re already creating friction for the future. Scaling agentic AI isn’t about finding the best idea in a sandbox… it’s about building a system that can carry hundreds of those ideas forward, consistently and responsibly.
And then there’s the part we don’t talk about enough: the work itself. AI doesn’t just make tasks faster — it should change which tasks exist at all. When we redesign work, we unlock capacity, elevate human judgment, and start to see the real value equation shift. That’s where transformation lives.
We’re at a moment where the conversation needs to move beyond “what can AI do?” to “how do we operationalize it with intent?” If you’re navigating that journey, I’d encourage you to lean into the uncomfortable questions — because that’s where scale (and outcomes) begin.