AI Readiness Sprint
Don’t let dirty data kill your AI pilots.
The demos looked great. The licenses are paid for. But the AI still isn’t running in production — and the board is starting to ask why.
The AI Readiness Sprint scores whether your operational layer can support AI in production, and names the specific blockers in the way. AI amplifies what already exists — we make sure what exists is worth amplifying.
Where teams get stuck.
- An AI agent run on today’s CRM data would be confidently wrong.
- Nobody actually owns the documentation for your core workflows.
- Half the AI tools you pay for never made it into daily work.
- Every pilot looks great in the demo and stalls on the way to production.
The real break
AI doesn’t create order. It amplifies what’s there.
AI needs clean data, documented workflows, clear ownership, and consistent CRM hygiene. When those are missing, AI just makes mistakes faster and at scale. The blocker isn’t the model — it’s the operational layer underneath it.
Fixed scope · 2 weeks
What the sprint includes
- Assess CRM data hygiene and integration architecture.
- Review workflow documentation and system permissions.
- Score readiness across five dimensions.
- Map the specific blockers between your pilots and production.
What you walk away with
rated across data quality, workflow docs, permissions, integration, and ownership
the specific things stopping AI from reaching production
the path to making the operational layer AI-ready
We don’t build custom AI agents, and we won’t promise AI ROI. We identify and sequence the blockers preventing your AI from working — so the bets you’ve already made have a foundation to land on.
Where it leads
Making the stack AI-ready means fixing data hygiene, workflow ownership, and integrations — the same dependencies behind every other GTM problem. Clear one and the next appears. Darwin Flux is the operating model that keeps the layer AI depends on reliable as your tools and team keep changing.
How Darwin Flux works →Questions you’re probably asking.
Will you build the AI agents for us?
No — this sprint is about readiness, not building. We tell you exactly what’s blocking AI from reaching production. Removing those blockers is what makes any agent you build (with us or anyone) actually work.
Our data is a mess. Is it too early for this?
It’s exactly the right time. The scorecard is built to start from a messy stack — that’s the point. You don’t need to clean anything up before talking to us.
What do we walk away with?
A readiness scorecard, a prioritized list of the specific blockers, and a 90-day roadmap — usable whether or not we do the remediation.