Find the opportunity. Make the change. See the return.
Your team gets the Ontora platform and support through implementation, with the company knowledge needed to make AI useful in everyday work.
Hear the people closest to the work.
Let employees explain their day-to-day work in focused, agent-led conversations. Screen sharing makes the steps and tools visible, including the workarounds no handbook captures.
Connect what different teams know into one shared picture. Understand dependencies, preserve practical know-how and stop rediscovering the same process every time someone moves on.
Surface recurring friction and where AI could help. Give process owners a grounded starting point for improvements that fit the way your company actually works.
Simplify approval handoffs. Reduce manual reporting. Clarify process exceptions.
Put AI into everyday work.
We implement solutions with your teams, using your company knowledge and existing systems. Your people get the platform and support to make the changes part of daily work.
Explain our purchase approval process, including the exceptions.
A clear path to business impact.
Find where the value is.
Identify the manual work and delays holding your business back. Choose the first change with a clear business case.
Make the change work.
Implement AI solutions with the people who use them, grounded in your processes, systems, and company knowledge.
Measure and build on it.
Track the difference in time, cost, and capacity. Extend the changes that improve how your business operates.
Frequently asked questions.
Where should our company start?
Start with a business priority and a workflow where improvement would matter. Together, we establish the starting point, choose a first initiative, and agree what a successful implementation should achieve.
How does Ontora learn how work happens?
AI agents hold focused conversations with the people doing the work. They ask follow-up questions, connect different perspectives and use screen sharing to understand the tools and steps being described.
What happens when information is missing?
Ontora builds a shared knowledge layer across conversations. When an answer reveals an exception or a gap, that context informs what the agent asks in the next conversation.
Can we use the knowledge outside Ontora?
Company context is accessible through API, MCP and CLI. Your team can bring it into its own analysis, workflows and AI tools without starting every question from scratch.
Will we need to document everything first?
No. Conversations are the starting point. Employees can explain their work and show the tools they use, so existing documentation is not a prerequisite for understanding a process.