Ontora for Consultancies
Hear client teams in parallel. Connect their workflows and exceptions to the evidence behind your recommendations.
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From the first client conversation to your next recommendation, Ontora connects the knowledge behind the work — so your team can focus on what to change.
Run agent-led conversations across the client organisation in parallel. Uncover the workarounds, tools and unwritten rules that a handful of workshops would miss.
A conversation that goes deeperWho approves a purchase when it can’t wait?
Turn individual accounts into shared process knowledge. See how teams, tools and exceptions fit together, with the source behind every finding.
Identify where AI and process improvements could make a difference. Connect each recommendation to the work it would change, then validate the priorities with your client.
Simplify approval handoffs. Reduce manual reporting. Clarify process exceptions.
Bring client knowledge into the tools your consultants already use. Use the process context and its sources to prepare analysis, client deliverables and implementation briefs.
Your context. In Claude.Explain our purchase approval process, including the exceptions.
Capture how a process runs across functions, including conflicting accounts and exceptions. Use the connected evidence to prepare the client readout.
Identify handoff problems, repeated manual work and dependencies. Validate them with the client before turning them into recommendations and a work plan.
Give delivery teams the process context behind your recommendations, so they can work from the discovery findings instead of repeating the interviews.
No. Ontora provides the evidence behind your work. Your team defines the engagement, interprets findings and owns the recommendations. Start with a focused discovery question that fits your methodology.
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.
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.
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.
Choose one process, business unit or transformation question. Define who needs to contribute and review the resulting knowledge with your team before expanding the scope.