Clearline

Clearline resource pillar

AI service advisor for fixed operations

Design service-call coverage, appointment booking, reminders, and follow-up around dealership rules and real system context.

Built for

Fixed operations directors, service managers, BDC leaders, and dealer principals

See Clearline Scheduler

Start with service capacity and booking rules

An AI service advisor should not be treated as a generic answering service. It needs approved information, department-specific routing, appointment eligibility rules, escalation paths, and a reliable source of availability before it can complete useful work.

The first deployment should solve one observable problem, such as after-hours booking or queue overflow. That makes it possible to compare completion, handoff, and appointment outcomes against a real baseline.

Keep judgment with the service team

Routine booking, confirmation, reminders, and basic routing can be automated within clear policy. Diagnosis, safety concerns, pricing exceptions, complex repair-order questions, and upset customers need a defined human path.

The goal is not to remove the advisor. It is to keep advisors focused on work that requires context and judgment while customers still receive a timely response.

Clearline

Put Clearline to work on every customer opportunity.

Let Luna handle the calls and follow-up.

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