Find internal experts for any topic with Claude
Search team chat, knowledge base pages, tickets, and document authorship for a topic, match contributors to their team and role, and return ranked experts with evidence.
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When a user asks Claude to find an expert on a topic, it calls the scenario with an on-demand trigger via the Make MCP connection and provides 'topic' as a scenario input. The scenario triggers an AI agent running on [AI model provider]. The agent decides which searches to run across [team chat platform, e.g. Slack, Microsoft Teams], [knowledge base/wiki, e.g. Confluence, Notion], [issue tracker, e.g. Jira, Linear], and document authorship in [document storage platform, e.g. Google Drive, SharePoint], refining its queries based on what it finds. It then cross references the people it surfaces against [HRIS, e.g. BambooHR, Workday, HiBob] to confirm their team and role, ranks the most likely experts, and generates a response with each person's name, team, role, and supporting evidence (links to the relevant messages, pages, tickets, or documents). The agent's response is mapped to a Scenarios > Return output module in a field called 'experts' so Claude can read the scenario response.
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Problem
Employees who need help on a topic ask around in chat channels, scroll through old threads, browse wiki pages, and dig through tickets to guess who might know the answer. Finding the right person depends on personal networks, so questions land with the wrong people, experts in other teams stay invisible, and work stalls while people wait for answers.
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Solution
When a user asks Claude to find an expert on a topic, it calls a Make.com automation on demand with that topic, which triggers an agent. The agent decides which searches to run across the team chat platform, the knowledge base, the issue tracker, and document authorship, refining its queries based on what it finds. It then cross references the people it surfaces against the HRIS to confirm their team and role, ranks the most likely experts, and returns each person's name, team, role, and supporting evidence to the assistant.
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Impact
Questions reach the colleagues who actually hold the knowledge, so expertise across the company becomes easy to tap and work keeps moving instead of stalling on guesswork about who to ask.
Benefits
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Faster expert discovery
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Reduced misrouted questions
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Increased cross team collaboration
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Shorter new hire ramp
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