The AI customer service console for SLA performance, queue visibility, and customer health.
microLM Care gives customer service and support teams a decision cockpit for SLA performance, ticket trends, recurring issues, and customer health. It turns service data into usable signals instead of reactive queue management.
microPilot works across Care to answer questions, explain service issues, and guide follow-up actions.
Track tickets by channel, type, and priority with first response and resolution times.
Surface recurring SLA breaches, overloaded queues, and issue concentrations.
See repeat tickets, escalations, low scores, and signals of account deterioration.
Measure article usage, ticket deflection, and the content gaps still driving demand.
Understand where queues, channels, and issue categories are creating risk.
Use microPilot to connect service problems to repeat issues, escalation patterns, and customer health.
Take faster action on SLA breaches, backlog, knowledge gaps, and churn risk.
That shared foundation lets support teams connect service issues to revenue, operations, and account performance. Start with Care or deploy it as part of the full suite.
Answers for service teams evaluating SLA performance, queue management, customer risk, and support efficiency.
microLM Care is designed to give service teams better visibility into ticket demand, SLA performance, queue pressure, customer health, and the knowledge gaps still driving support volume.
Yes. Care is built to highlight recurring issue categories, overloaded queues, repeated breaches, and patterns that would be difficult to spot from ticket volume alone.
Care helps service and customer teams connect repeat tickets, escalation patterns, poor scores, and other warning signs to emerging customer risk earlier.
Yes. Care can show article use, ticket deflection, and where content gaps still force customers or agents back into reactive ticket workflows.
microPilot helps service teams ask why SLA performance changed, which queues are under stress, which customers are at risk, and what actions should happen next.
