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✦ AI READINESS ISN'T JUST TECHNICAL

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01 — CONTEXT

Most AI projects stall after launch. Not because of the model — but because the human systems around it weren’t ready.

Adoption breaks down at the intersection of:

Unclear messaging

Internal misalignment

Shaky trust from customers and teams

You’re not just building a product. You’re building confidence in it.

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02 — THE REAL READINESS CHECKLIST

1. Workflow Fit Can your product actually slot into the way professionals work — not just how you hope they’ll use it?

2. Shared Insight Does every team operate from the same picture of your customer? Or is research scattered across Slack, sales calls, and Notion tabs?

3. Trustable Language Does your messaging sound like it was written by someone who’s done the job? If not, professionals won’t buy in.

4. Post-Sale Repeatability Is adoption dependent on heroic onboarding? Or can new customers ramp without needing a founder on every call?

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03 — THE SPRINT

The Customer Intelligence Sprint A 4-week engagement to unify insight, clarify workflows, and build trust-focused messaging across Product, CX, Sales, and Marketing.

You get:

A shared customer insight system used across teams

Workflow-native messaging maps

Clear language for demos, onboarding, and objection handling

Repeatable adoption frameworks

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04 — WHY IT WORKS

Because insight isn't just an output. It's infrastructure. Because trust doesn't scale when it's trapped in one person’s head. Because adoption only grows when every team is aligned.

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Build the system your product deserves.

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Book a call⁠

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