Process Automation
The AI Vendor Checklist for Automotive Dealership Operations
The eight questions dealers already ask AI vendors, in order: problem fit, integration, timeline, ROI, CX impact, support, references, and comparison.
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Process Automation
Articles on process automation: real-world lessons deploying operational AI in the enterprise.
Process Automation
Deskflow: an AI Coworker for Dealership Operations
Deskflow automates the rules-based approve/reject document review dealerships run, clearing routine cases in minutes and routing real exceptions to a person.
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Why an AI Document Review Tool Needs a Real Audit Trail
A defensible AI audit trail logs what was checked, what was auto-approved versus flagged, and the specific reasoning behind every exception a human reviewed.
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Human-in-the-Loop AI for Dealership Operations, Explained
Human-in-the-loop AI auto-processes routine documents and routes exceptions to a reviewer who can see exactly why, which is what makes it auditable.
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How a National Vehicle Purchasing Platform Cut Errors From 7% to 1%
A national vehicle purchasing platform runs 1,000 evaluations a week. Review time fell from 20 min to 1-2, error rate from 7% to 1%, headcount 12 to 6.
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AI vs. Manual Title Processing: Comparing Real Error Rates
Industry commentary cites 2-5% manual error rates vs. under 0.1% for AI. Neither number should drive your decision: a named 7% to 1% case should.
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AI Coworker vs. RPA: What's Different for a Dealership Back Office
RPA runs a fixed click sequence that breaks on format variation; AI-based document review is built to handle it, which is what a deal jacket demands.
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How to Evaluate AI Vendors for Dealership Operations
The demo isn't the test that predicts vendor success. Ask about the implementation timeline and data prerequisites before you sign, not after go-live.
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What an AI Operations Implementation Timeline Should Actually Look Like
Dealership AI timelines swing from weeks to months. The real predictor isn't the vendor's promised date, it's your data quality and integration scope.
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How to Actually Check an AI Vendor's References
Vendor references are pre-filtered by design. The calls that predict outcome are the ones you source yourself, through a 20 Group or peer contact.
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From POC to Production: Deploying Enterprise AI Agents in 30 Days
Why most enterprise AI pilots never ship, and the deployment model we use to take voice agents, document processing, and IVR modernization to production in weeks.
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AI Coworker vs. RPA vs. Chatbot: What Fits Ops Work
A chatbot answers questions, RPA runs fixed scripts, and an AI coworker makes approve/reject calls on variable documents. Here's how to tell them apart.
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What to Expect From a Deskflow Implementation Timeline
Deskflow implementation timelines vary by data quality, integration scope, and document variety, not a fixed number of weeks. Here is what actually drives it.
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How Deskflow Integrates With Your DMS and CRM
Deskflow reads from and writes back to your existing DMS and CRM through API sync, not a system replacement. Here's exactly how the integration works.
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