No seat-based scaling cost
Volume increases do not require hiring, rostering or managing a bigger team.
DEALERSHIP LEAD MANAGEMENT
08 / LABOUR VS MANAGED AI
A Managed AI Alternative to a Dealership Call Centre
A call centre or BDC model answers enquiries with people, at a cost that scales directly with headcount and call volume. A managed AI service answers the same enquiries without the seat-based cost, staffing rotas or management overhead, and hands your team the conversations that actually need a person.
MANAGED SERVICE · DELIVERY TECHNOLOGY BY ANVELO
SYSTEM ACTIVEDAI / 08
LIVE WORKFLOW
IN
VOLUME SPIKEPeak enquiry period
AI
Handled without new hiresTeam sees ready buyers only
THE JOB
The coverage and consistency of a call centre, without the headcount and management layer.
WHAT CHANGES
More momentum.
More momentum.
Less manual chasing.
Consistent every time
Every call gets the same standard of qualification, regardless of who would otherwise have picked up.
Your team only sees the good ones
Ready buyers reach your salespeople; routine handling stays automated.
YOUR NEXT STEP
See how this could fit your dealership.
Tell us where the process currently slows down. We'll use a focused 15-minute call to map the opportunity and explain what a practical first test could look like.
- Fully managed
- Works around your current stack
- Typically live in three to four weeks
GET A RECOVERY PLAN08 / 09
COMMON QUESTIONS
Before we talk.
Is this the same as an offshore BDC?+
The job is similar (answering and qualifying enquiries at volume), but the delivery is different: a managed AI service rather than a rostered team of human agents.
What happens to calls that need a person?+
They are routed to a person. The aim is to remove routine, repeatable handling from a call centre model, not to remove human judgement from decisions that need it.
Is it cheaper than a call centre?+
Cost comparisons depend on your current volume, staffing and provider. We review your current setup on the recovery call rather than quoting a generic saving.