Ontora for Companies

See how your company really works.

Capture the knowledge across your teams. See what depends on people, where work gets stuck and what to improve next.

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A team working together with notes and laptops.

Turn what your people know into what comes next.

Your company’s best knowledge lives with its people. Ontora brings their perspectives together, making everyday work easier to understand and improve.

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.

Explore agent-led conversations
A conversation that goes deeper

Who approves a purchase when it can’t wait?

Knowledge that belongs to the whole company.

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.

Explore process mapping

Know what is worth changing next.

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.

Explore AI maturity assessment

A clearer next step

Simplify approval handoffs. Reduce manual reporting. Clarify process exceptions.

Put your company’s knowledge to work.

Give your teams and AI tools the context they need to be useful. Use the connected process knowledge to answer operational questions, prepare handovers and give AI workflows relevant company context.

Explore the knowledge layer
Your context. In Claude.

Explain our purchase approval process, including the exceptions.

Start with work that needs a clearer picture.

  • Improve a cross-team process.

    Bring the teams involved in a workflow together around the same evidence. Identify where handoffs fail, approvals stall or work has to be repeated.

  • Prepare a knowledge handover.

    Capture the practical steps, exceptions and contacts an experienced employee relies on. Give their successor context beyond the written procedure.

  • Assess an AI use case.

    Understand the task, the tools and the exceptions before choosing what to automate. Review the findings with the people responsible for the process.

Frequently asked questions.

Where should our company start?

Start with a workflow that is difficult to explain, depends on a few people or needs improvement. Invite the teams involved, then use their conversations to build a shared understanding of the current state.

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.