Shared meeting context
The Meeting Agent summarizes meetings and identifies action items. The homepage says meeting context is shared with the other agents, so managers can refer back to prior conversations.
Semos.ai provides AI agents for people managers, using meeting and team context to help prepare conversations, recognize work, give feedback, and support team development.
Semos.ai is an AI assistant for people managers, organized as specialized agents for leadership tasks such as meeting follow-up, feedback, recognition, team health, and career development. It uses meeting and team context to help managers prepare conversations and turn observations into drafts, plans, and next steps. The product’s stated purpose is to make practical, context-aware leadership support available during everyday management work.
The Meeting Agent summarizes meetings and identifies action items. The homepage says meeting context is shared with the other agents, so managers can refer back to prior conversations.
The Feedback Agent helps structure difficult feedback. The site illustrates a 4Is-based approach: identify information, explain impact, invite discussion, and agree on implications or next steps.
The Recognition Agent helps identify and draft timely recognition grounded in concrete work, such as a contribution to a pitch or catching an error before launch.
The Culture Agent is described as surfacing changes in sentiment and participation. Site examples include comparing meeting participation over time and prompting a direct check-in.
The HRBP Agent helps structure people-related conversations and documentation; the Career Agent supports growth conversations and plans, including possible stretch assignments.
The site says agent guidance draws on behavioral-science frameworks, including Stanford’s 4Is feedback framework, Big Five traits, and Hofstede’s cultural dimensions, and explains the rationale behind suggestions.
Before a 1:1 about a missed requirement or performance concern, ask for a structure that names specific examples, explains the impact, and invites the employee’s perspective.
For a repeated disagreement between colleagues, use the assistant to frame a joint conversation, clarify what each person needs, and consider a practical agreement and documentation.
When a manager is unsure who has gone unrecognized, the site illustrates identifying overlooked team members and drafting messages tied to specific contributions.
After several candidate interviews, compare observed strengths and development gaps, then draft a role-relevant early onboarding plan for a selected candidate.
Use meeting patterns and prior development context to identify a quieter team member for a low-pressure check-in or consider a suitable stretch assignment.
Its agents are presented for meeting summaries and action items, feedback and difficult conversations, recognition, people challenges, team-culture signals, career planning, and company or sector awareness.
The site describes meeting summaries, identified action items, conversation structures, message drafts, and practical plans or next steps. The exact output depends on the request and context.
The homepage says agents draw on shared context from meetings, the team, and prior interactions, with each conversation adding to that context.
The pricing page lists Free at $0 with 250 credits per 30 days, Pro at $39 with 500 credits per 30 days, and Power at $69 with 1,000 credits per month. Enterprise Connected Mode uses a contact-sales flow; billing-period details for the self-serve prices are not specified in the supplied text.
The Enterprise Connected Mode listing names SAP SuccessFactors and Workday integration, SSO, SCIM, Google and Microsoft 365 data intelligence, organization-wide analytics, and deployment engineering and onboarding.
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