TL;DR: Three things this covers

•AI has created a wave of pressure across organisations, driven more by emotion than by strategy. But that emotional cycle is masking a much bigger issue: most organisations are underusing AI because they are treating it as a rules-based automation tool, when it is actually a reasoning engine.

•To unlock the real value, you need to go beyond workflows and business processes.

•You need to understand how people perceive their work, the meaning they attach to it, and where it fits in the bigger picture. That is what turns AI into genuine competitive advantage.

•Communications Mastery in the Age of AI masterclass is happening this week.

AI Is a Reasoning Machine. Are You Treating It Like One?

A board member challenged me recently on how I was using AI in my own practice. Direct question, fair question. I expected to have a clean answer, but the honest response surprised me. The thing I had been wrestling with most was not which tools to use or where AI fits into delivery. It was how the whole thing made me feel.

And when I looked around at the practitioners and leaders I work with, the same thing was happening everywhere.The emotional weight of keeping up with AI is real,and it is shaping decisions more than most people realise.

The cycle underneath the noise

You already know this cycle, even if you have not named it.Overwhelm at the volume of what there is to learn. Paralysis because you cannot get to it all. Guilt because the narrative from every direction says you should have figured this out already. And the guilt feeds right back into overwhelm. AI has turned up the intensity on every part of it.

Two messages are landing at the same time: AI is coming for your role, and you need to adopt it immediately. People are consuming everything and absorbing very little. And the confronting part is thatthe productivity gains in many areas are genuinely real.The pace of work is accelerating. Expectations are shifting. Dismissing AI is not an option. But the frantic, breadth-first approach most people have taken is not delivering either.

The bigger problem this is masking

Here is where this gets bigger than the individual. When the people inside an organisation are stuck in this emotional cycle,it shapes how AI gets adopted at every level.Teams either resist it entirely or adopt it superficially. Leaders mandate rollouts without creating the conditions for real engagement. And the default approach becomes automating the obvious: workflows, business rules, processes, the things that follow a clear if-this-then-that logic.

That is where most organisations are right now. And it is where the real value is being left on the table.

Because AI is not a static, rules-based workflow engine.It is a reasoning machine. It can hold context, weigh competing inputs, work through ambiguity, and generate outputs that reflect nuance and judgment. Treating it as a glorified automation layer, where 1 plus 1 equals 2, misses the point entirely. You could automate those things without AI. And you are certainly not maximising the return on what the technology can actually do.

What it actually takes to unlock AI at the organisational level

For AI to genuinely elevate business capability and free up capacity for the people doing the work,you need to go beyond systems, processes, and business rules.You need to understand how people actually experience and perceive their work. Where it fits in the bigger picture. The meaning they attach to it. The judgment calls they make that never show up in a process map. That is the layer where AI's reasoning capability comes alive, and that is what creates real competitive advantage.

Here is what that means in practice:

•How people make decisions, not just what decisions they make.Most process documentation captures the outcome of a decision but not the reasoning behind it. AI's value multiplies when it can engage with the thinking that leads to a choice: the trade-offs, the context, the experience-based judgment. Mapping decision logic, not just decision points, is what allows AI to become a thinking partner rather than a task executor.

•How knowledge moves informally across an organisation.A significant amount of what makes an organisation effective never gets documented. It lives in conversations, in relationships between teams, in the shortcuts people have built over years. AI that is only fed formal process documentation will miss this entirely. Surfacing and capturing these informal knowledge flows is what allows AI to reason across what actually happens, not just what is written down.

•How people interpret priorities, not just what the priorities are.Two people in the same team can read the same strategic objective and take completely different action based on how they interpret it through their role, experience, and understanding of what matters right now. AI that understands these layers of interpretation can help align effort far more effectively than AI that simply tracks tasks against a plan.

•Where people apply judgment that no rule can capture.Every organisation has moments where someone experienced makes a call that a process could never anticipate. A client conversation that needs a different tone. A risk that feels wrong despite being technically within tolerance. These judgment-rich moments are exactly where AI's reasoning capability adds the most value, but only if you understand what those moments look like and what informs them.

•What the work means to the people doing it.People attach meaning to their work: purpose, identity, professional pride, a sense of contribution. When AI is deployed without regard for this, it creates resistance that looks irrational from the outside but is entirely predictable. The organisations that bring people along are the ones that understand what the work means to them, not just what the work is.

This is the difference between AI that automates and AI that elevates.One replaces effort. The other amplifies capability. And the gap between them is not a technology gap. It is a depth-of-understanding gap about how work actually happens inside an organisation, beyond what any process map or system workflow will ever show you.

Back to that board member

I mentioned that a board member challenged me on AI at the start of this piece. Here is how that story ends.

I went deep. I built an agent-to-agent ecosystem across my practice: autonomous agents running in the background,with me in the loop with minimal intervention. Over 50% of my business operations are now automated through AI, and I track how things are running from my phone. I am already working on how to bring this same approach to my clients.

A few weeks later, I went back to that board member. Showed him some of the dashboards. Walked him through the AI agents running behind the scenes. How the pieces connect. What runs without me and where I step in.

One word from him: Impressive.

Followed by:"Can you do this for me?"

🙂

If this resonated, pass it along to someone leading an AI adoption conversation inside their organisation. They will probably recognise more of it than they expected.