Service
AI Readiness Assessment
Before we build anything, we review your goals, workflows, systems, data sources, and bottlenecks to identify where AI can create practical value first — so the first investment goes toward a real problem, not a guess.
What's included
- A structured review of your current tools, systems, and data sources — CRM, documents, email, tickets, spreadsheets, and more.
- Interviews with the people who do the work day to day, not just leadership, to find where work actually slows down.
- A prioritized shortlist of AI opportunities, ranked by real business value and feasibility.
- A written one-page scope for the first recommended project: process, data sources, success metric, and timeline.
Best practices we follow
- Start with one clear business problem, not a broad "AI strategy" exercise with no defined endpoint.
- Map the systems and data actually in use before recommending any tool or approach.
- Define a single measurable success metric before any work is scoped.
- Flag data-access and governance questions early, before any build begins — not discovered mid-project.
What this can look like
An assessment typically replaces a vague sense that "we should do something with AI" with a concrete, defensible starting point.
- A clear, prioritized shortlist of AI opportunities instead of an open-ended mandate.
- A written scope for the first project that leadership and the team both understand and agree to.
- Confidence that the first AI investment is aimed at a real bottleneck, not a novelty.
Ready to find your starting point?
An AI Readiness Assessment is the fastest way to go from "we should look into AI" to a scoped, practical first project.