top of page

Our Ideas

The Most Dangerous Assumption in Business Right Now Will Not Be Found in Your Board Pack

  • Mar 16
  • 3 min read

PART 1

The SaaSpocalypse of February 2026 wiped out $285 billion in market value in a matter of weeks. Every headline blamed the death of the per-seat licence. Every analyst pointed to AI agents replacing human users. Every SaaS vendor scrambled to repackage their product for an agentic world.

Nobody asked the more important question.

What were we actually trying to accomplish with all of this software in the first place?

Because here is the uncomfortable truth that no consultant, no vendor, and no board presentation will say out loud: most enterprise software was already failing before AI arrived. Shelfware. Partial deployments. Processes that nobody fully understood, mapped to outcomes that nobody ever clearly defined. Your IT department spent years and millions deploying systems that your people learned to navigate — not because the software was delivering outcomes, but because navigating it became the job.

And now we are about to hand that job to AI agents.

Think about what that means. When your people used those systems, they brought something the software never captured. Years of accumulated judgement. The ability to recognise when a situation didn't fit the process. The relationship context that turned a technically correct decision into the right one. The institutional memory that knew why the exception existed in the first place.

We never measured any of that because we never had to. We just called it experience.

AI agents inherit the software. They do not inherit the context.

And that is the catastrophic assumption hiding inside every breathless announcement about agents doing the work of a hundred humans. The software was never doing the work. The human plus the software was doing the work. Strip out the human without first understanding what the human was carrying, and you have not automated your business. You have industrialised your blind spots — at a speed and scale that will make the original failure look trivial. This is not a technology problem. It is not an IT problem. It is a CEO problem.

Because you are the only person in your organisation who is fully accountable for what your business is actually trying to accomplish — for your customers, your people, and your shareholders. And right now, that accountability is being stress-tested in a way that no previous wave of technology has demanded.

Before you authorise a single agentic deployment, before you renegotiate a single vendor contract, before you sign off on the next transformation roadmap, you need to be able to answer one question with complete clarity:

What is the outcome we are trying to deliver — and does everyone in this organisation understand it well enough to trust a machine to pursue it on our behalf?

If the answer is anything less than an unequivocal yes, the speed of AI is not your advantage. It is your liability.

In Part 2, I will introduce the Value Realization Dashboard and the Net Outcome Score — the framework we are using to make the tacit explicit, hold vendors accountable for outcomes rather than features, and build the roadmap that turns this moment of disruption into a durable competitive advantage.

But that work starts with you, the CEO. Not your CIO. Not your transformation lead. You.

Are you ready to find out what your software was actually doing?

Part 2 coming soon.


 
 
 

Comments


bottom of page