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How working with us actually goes.
Most AI conversations today open with frameworks, diagrams, and maturity curves. This page is different. It tells you, in order, what happens when a dealer group engages with Auto Agentic from the first conversation to the fifth workflow. No thesis. Just the operational shape of what we do.
A 75-second overview.
If you want the short version before the walkthrough.
Or continue scrolling for the full walkthrough.
Discovery
In the first conversation we do not pitch. We listen. What are you tracking today? What is costing you the most? Which systems do you run? Where does the data go when it leaves one of those systems?
By the end of discovery, we have a clear map of your operation, your existing systems, and the operational leaks that are most urgent. We name a short list of workflows from our library that fit, or we flag that a Custom Workflow is the right scope.
You receive a one-page discovery summary within 48 hours.
Workflow Design
We scope the first workflow in detail. Which systems it connects. Which agents it uses. Which KPIs it moves. Which team member owns it on your side. We write it all down as a pilot proposal with a fixed price, a 90-day timeline, and one or more KPI success conditions.
You review. We iterate. You sign.
90-Day Pilot
Weeks 1–2 · Integrate
We connect the systems this workflow needs. We configure the agents. Your team meets its counterparts on our side.
Weeks 3–4 · Go live
Human-in-the-loop is fully engaged. Your team and ours review every output before it goes downstream.
Weeks 5–8 · Tune
As the workflow runs in the real environment, we adjust the agent logic, the output design, and the integration points. Your team learns the system by working in it. AI literacy builds through use, not through training sessions.
Weeks 9–12 · Measure
We compare the agreed KPIs against baseline. We document what moved and why.
At the end of 90 days, if the KPIs moved, you have the option to scale. Your Intelligence Foundation is already in place for the next workflow. If they did not, you stop without obligation to go further.
Scale
Most dealer groups who complete a first pilot do not stop there. They add a second workflow, then a third. They roll the first workflow across other rooftops. As each workflow deploys, the Intelligence Foundation extends: more systems connected, more agents orchestrating, more of the six architectural layers assembled.
Over 12 to 24 months, the workflows you have deployed assemble into a data layer, an orchestration layer, a governance layer, a human layer, an economic layer, and a decision layer. All driving the Knowledge Hub you have been building one workflow at a time. This is what AI-capable organization actually means in practice: not a thesis adoption, but the lived operational reality of an enterprise where workflows observe, diagnose, coach, and coordinate across departments on a shared foundation.
At this stage, the organization is running inside a coordinated agentic system. The competitive moat is architectural. Competitors cannot buy it. They would have to live the same workflow-by-workflow build.