AI maturity assessment
Ontora interviews leaders and employees to reveal how AI is used, what gets in the way, and where to focus your next investment.
The starting point
Before choosing the next investment, bring the work, the barriers and the opportunities into view.
Teams use different tools for different tasks. Leadership hears individual success stories, but has no shared view of what people actually do with AI. Which practices are worth sharing across the company?
One team needs better data. Another needs skills or clear rules. Buying another tool will not resolve every barrier to putting AI to work. Which conditions need to be in place before we invest further?
Departments bring competing proposals. Without a common picture of the work and its constraints, choosing the next initiative becomes a debate about tools. Where should we focus our next effort?
What you take away
A shared starting point for leadership and teams, grounded in what people describe about their work. Understand the findings and decide where to focus.
Current stateSuggested improvement
Sample report · Five dimensions · Levels 0–5
Current level: 2Suggested level: 3 / 5
Current level: 3Suggested level: 4 / 5
Current level: 2Suggested level: 3 / 5
Current level: 1Suggested level: 3 / 5
Current level: 1Suggested level: 2 / 5
Bring strengths and gaps into one view, so leaders and teams can discuss the same starting point.
Understand the patterns, barriers and different perspectives that explain the assessment.
Use recommended next steps to decide what needs training, clearer rules or a closer look at a process.
How it works
Start with the decision you need to make. Ontora gathers and synthesizes the perspectives; your team brings the context and chooses what comes next.
Watch the product walkthroughOntora
We shape the interview guide around the decision you need to make and the areas you want to understand.
A focused assessment with the right perspectives.
Your team
Choose a sponsor, define the scope and identify the leaders and employees who should contribute.
Ontora
The AI agent runs structured conversations in parallel, asking follow-up questions about usage, obstacles and opportunities.
A shared body of interview responses within your scope.
Your team
Explain the purpose, invite participants and give them time to describe their work in their own words.
Ontora
We bring the responses together into a maturity profile, key findings and recommended next steps.
A baseline your team can use to make its next decision.
Your team
Review the findings in context, clarify gaps and choose which priorities to take forward.
From evidence to action
Interview responses describe people’s experience. The assessment brings those perspectives together, interprets the patterns and suggests where to act.
Employees describe using AI for research and drafts. Several are unsure which internal information they are allowed to include.
Individual experience is growing, but teams lack a shared understanding of permitted data use and who should review the output.
Define approved tools, permitted data and review responsibilities for a focused pilot before expanding it to more teams.
A practical start
Start by discussing a department, function or defined business unit with us. The assessment should answer a specific question within that scope. Its findings describe the participating area, rather than standing in for the whole company.
Include leaders and employees from the areas in scope. Bring together people who make decisions, people who do the day-to-day work, confident AI users and those who use it less. This helps surface differences that a leadership-only view can miss.
Choose a sponsor, the decision you want to support and the teams to include. Prepare a participant list and explain the purpose internally. Before invitations go out, agree the interview format, access arrangements and time participants will need. Existing context is helpful; a complete process manual is not a prerequisite.
Discuss the anonymity requirements for your assessment before inviting participants. Agree how responses and any identifying details will be handled, then communicate those arrangements clearly. In small teams, the context of an answer can itself identify someone, so this needs to be considered during setup.
Agree who needs the assessment findings and whether anyone needs access to individual interview content before the assessment starts. We will walk through the available access arrangements with you so they fit the scope and the information participants receive.
Discuss a follow-up assessment with us if you want to revisit the baseline. Meaningful comparison requires a consistent scope, participant mix, questions and assessment method. Changes in those conditions need to be accounted for when interpreting later findings.
Your starting point
Explore the interview experience and a sample assessment with our team. Then discuss the right scope for your organization.