Smarter Triage: a layered AI architecture that keeps costs in check at scale
What changed
High-volume triage is one of the most common pain points in enterprise service management. Requests come in through portals, voice, emails, EmployeeWorks... Every one of them needs to land with the right workflow before any real work can begin. The triage team handling that cannot keep up with the volume: requesters are waiting for hours or days, to sometimes only get asked to provide some clarifications. While AI feels like the perfect solution, it's usage need to be cost-conscious by choosing the right tool for the right job. Agentic AI earns its place only where a process genuinely requires autonomous reasoning and will shine when classic automation and machine learning are not sufficient
Why it matters
Look for repeatable workflow patterns that could remove manual handoffs or rework.
What to do next
Map the update to one real process before discussing tools.
Estimate the manual time, rework, or delay it could remove.
Scope the smallest useful pilot with clear owner, data path, and success measure.