AI AgentsAI Agents built around real workforce responsibilities.
These are not generic chatbots. Every agent understands its role's context, respects access permissions, references evidence, recommends rather than acts, escalates uncertainty, and waits for human approval when it matters.
Who needs my attention today?
Also: "Will anyone miss office requirements?" and "Do we have a staffing conflict next week?". The Manager Agent answers from governed context, shows its sources, and proposes next steps for a person to approve.
Is payroll ready?
Also: "Which policy exceptions are open?" and "What changed in employee records this week?". The HR Agent answers from governed context, shows its sources, and proposes next steps for a person to approve.
Is tomorrow's coverage complete?
Also: "Which locations are short this week?" and "Where are the open operational exceptions?". The Operations Agent answers from governed context, shows its sources, and proposes next steps for a person to approve.
Where could we face a capability gap next quarter?
Also: "Can we staff the new office from current teams?" and "How healthy is the organisation this quarter?". The Leadership Agent answers from governed context, shows its sources, and proposes next steps for a person to approve.
How many leave days do I have?
Also: "What does the hybrid policy say?" and "Can I fix Thursday's missing punch?". The Employee Agent answers from governed context, shows its sources, and proposes next steps for a person to approve.
Are we inside working time rules this month?
Also: "Which records are missing before the audit?" and "Which exceptions need evidence?". The Compliance Agent answers from governed context, shows its sources, and proposes next steps for a person to approve.
One context. Multiple specialised agents.
Agents share the same governed workforce context and coordinate on complex questions, then return one recommendation for a person to approve. Uncertainty is escalated, never papered over.
