The AI readiness sprint
Five weeks of clarity.
No commitment beyond it.
For leaders who've already spent on AI and quietly wonder why nothing changed downstream. Aixle is the operating model for how work gets planned, executed, governed, and improved across your people, agents, and systems.
What we hear from almost every company we meet
“The board wants an AI strategy, and I need something to show them.”
“I don't even know what AI tools are running in my organization right now.”
“I've been told to use AI. Nobody told me how or why.”
If any of these sound familiar, you're not behind.
Patterns we've seen, over and over
Three-quarters of enterprise AI projects never reach production, and it's almost never a technology problem. It's infrastructure, data, and strategy. Here's how we think about it.
It's the data, the workflow, or the culture around it. We fix what's actually in the way, not what's easiest to demo.
Rule 01It doesn't have to be big. It has to be seen by leadership, by employees, by the board. Proof beats a roadmap on its own.
Rule 02Speed without governance is liability. Governance without speed is irrelevance. You need both from day one, not bolted on later.
Rule 03The Aixle lifecycle
One operating model for how work is planned, executed, governed, and improved across your people, agents, workflows, and software. Ten pillars, three phases, one repeatable flywheel.
Plan. Set the outcomes, rules, identities, and context the work will run on — before a single model ships.
The uncomfortable truth
Sources: Deloitte, “State of AI” (2026); McKinsey, “State of AI” (2025); McKinsey Global Institute (2023).
Why a sprint, not a commitment
“Don't buy a transformation. A sequence of small wins beats one big bet. Clarity in five weeks, committed to nothing more.”
The Aixle operating principle
Runs on your infrastructure
The Aixle operating model deploys into the environment you already run, on the cloud of your choice, inside your own perimeter. Bring your own models, keep every byte under your governance, or self-host the open-source core outright.
The ask
You've already spent time and money on AI that hasn't delivered. This is the smallest possible step to find out exactly why, and prove a new way forward with working code.