Agent-led conversations
Explore the decisions, handovers and workarounds behind your team’s answers.
A conversation that goes deeperWho approves a purchase when it can’t wait?
Understand your company.
From the inside out.
Ontora learns how your company works through AI conversations and screen sharing. One connected knowledge layer for your people and AI tools.
A
Acme
Team workspace
Start with the people.
See the whole picture.
A conversation that goes deeperScreen sharing
Connect what people show on screen with what they explain.
The work behind the wordsUrgent requests go straight to Finance.
Smarter follow-ups
Build on existing knowledge to ask what is still missing.
A better next questionThe standard approval route is clear. What changes when a request is urgent?
Connected company knowledge
Connect processes, people and tools with the conversations behind each finding.
Context for your AI tools
Bring your company’s knowledge into your tools through MCP, API or CLI.
Your context. In Claude.Explain our purchase approval process, including the exceptions.
See Ontora in action.
A little more detail.
Can we shape the conversations around our own questions?
Yes. Set the goal, topics, questions and follow-up guidance, or start with a specialized agent for Process Discovery or AI Maturity. The agent explores the details behind each answer.
How does screen sharing add to a conversation?
People can share their screen as they explain a task. The agent can connect the steps and tools they show with what they describe, including the exceptions that are difficult to capture in words alone.
How does Ontora build on what it already knows?
The company knowledge layer gives the agent context for future conversations. Missing details and unanswered questions can guide targeted follow-ups, so each conversation builds a fuller picture. Your team still decides the campaign scope and who takes part.
Who can access the company knowledge?
You select the campaigns and recipients for shared chats. Campaign privacy settings determine access to underlying responses. Compatible tools can use the context through MCP or the API, within the access you configure.