Start with the glitch, not the glossy deck
If you can name the glitch, you can design the workflow that fixes it.
Most “AI initiatives” stall because they start as a slide deck. The work that ships starts with a glitch: the manual handoff that burns a weekend, the reporting gap that makes decisions feel fuzzy, or the customer moment that should be personal but reads generic.
We start by naming the glitch, interviewing the people who work around it, and writing down what “better” feels like. That turns the project into something testable instead of something inspirational.
Prototype like you are producing a mixtape
We storyboard the system like a track: an intro (capture), a verse (enrichment), and a hook (the moment the user feels the value). This forces us to design the customer-facing moment before we get lost in tooling.
The result is a prototype your team can critique in minutes: inputs, outputs, guardrails, and what happens when the data is incomplete.
Ship with rituals, not roadmaps
Rituals turn “AI ideas” into operating systems.
Roadmaps are fine, but rituals keep teams shipping. Every playbook gets a weekly review, a short “what changed” note, and a list of the next two experiments to run.
When a workflow has a cadence, it compounds. When it does not, it becomes shelfware.
“The goal is not smarter prompts. The goal is a workflow your team trusts.”
