AI Readiness & Opportunity Assessment
Evaluate your workflows, data, systems, and goals to identify where AI can create meaningful value, and leave with a practical plan to act on it.
The right first step makes every later step easier.
Unclear starting point
Many possible use cases, little evidence about which matters most.
Unknown data readiness
It isn’t clear whether the data needed is available or usable.
Competing opinions
Departments each see AI differently and priorities conflict.
Budget decisions
Leaders need a defensible case before investing.
What the assessment covers.
Goals & priorities
Clarify the business outcomes AI should support.
Workflow review
Map how work happens today and where time and effort go.
Data & systems
Assess the availability, quality, and accessibility of the data AI needs.
Skills & governance
Understand team capabilities, policies, and oversight requirements.
Opportunity scoring
Rank use cases by value, feasibility, and risk.
Roadmap
Sequence next steps into phases with owners and success criteria.
How the assessment runs.
Kick-off
Agree goals, scope, stakeholders, and how findings will be used.
Discover
Interview teams, review workflows, and examine data and systems.
Analyze
Identify and score opportunities and readiness gaps.
Recommend
Present prioritized use cases and a practical roadmap.
Questions about the assessment?
How long does an assessment take?
It depends on the number of teams, workflows, and systems in scope. We agree scope and timeline before starting.
What do you need from us?
Time with a sponsor, the people who run the workflows in scope, and access to information about your systems and data.
Do we have to continue with you afterwards?
No. The roadmap is yours to deliver with us, your own team, or another partner.
Can the assessment focus on one department?
Yes. Scope can be one team, one process, or the whole organization.