Albert Thompson
Automotive technology founder focused on the systems, partnerships and operating realities behind dealership customer journeys.
About IDP
Every customer, answered.
That’s the whole job. IDP builds AI agents for car dealerships: the calls, texts, leads and follow-up a store can’t get to, handled inside its own systems, with its people in charge.
Why we exist
Every day, a dealership misses people it could have helped.
A call after six. A lead at midnight. A follow-up nobody had time for.
Not for lack of care. For lack of hands.
So we build agents that take the routine work, inside the store’s own systems,
and a console that keeps the store’s people in charge of everything else.
What we believe
Four rules we build by.
01
The period means handled.
A signal isn’t done when it’s heard. It’s done when it ends in something your team can see: a booking, an answer, a hand-off with a name on it.
02
Inside your systems.
Agents work in the scheduler, the DMS and the CRM you already run. No new silo, no second calendar, no copy of your customers somewhere else.
03
People in charge.
An agent that can’t finish says so, with the reason, to a person who can. Anyone on your team can step in, and the agent waits.
04
Results, not promises.
Booked is a promise. Shown is a result. We count visits that happened in your DMS and credit them honestly.
Why a dot
The period is the point.
Our mark is a signal at the centre with broken rings around it: every call, text and lead converging on one place. Written as a word, it ends in a period, because that’s the job. When a customer reaches out, it ends handled.
Leadership
Automotive, AI and data people.
The team brings the dealership, the model and the infrastructure perspectives a workflow needs to go from a good demo to a store that runs on it.
LinkedIn
Dr. Shaoor Munir
PhD in privacy-preserving AI from UC Davis. Leads the platform’s agent architecture, data systems and applied AI controls.
Su-Lin Velin
Automotive operator and go-to-market leader focused on turning program strategy into repeatable retailer outcomes.
Emeka Kalu-Uma
Technology leader with experience at Meta, Spotify and the BBC. Leads the platform and infrastructure behind production workflows.
Muaz Maqbool
M.S. in machine learning from Georgia Tech. Leads AI orchestration, evaluation and production model systems.
Program experience
Automotive program experience across Nissan, INFINITI and Mitsubishi retailers.
Answered.Followed up.Booked.
See IDP on your calls, your leads and your systems. We’ll map one workflow with you and run it end to end.