Fullpath Launches Agentic CRM: Autonomous Sales Execution for Car Dealerships
Fullpath unveiled its Agentic CRM on January 22, 2026, positioning it as the first fully autonomous CRM built for car dealerships. The release closes the loop on the company's AI-driven sales ecosystem, bringing agentic AI across marketing, sales, and service into one operating system. The timing tracks with a market where margins are tight and speed-to-lead decides who wins the deal.
Built on Fullpath's Customer Data and Experience Platform (CDXP), the Agentic CRM shifts from "assistive" tools to true autonomy. Instead of reps clicking through tasks, AI agents run the full play-from lead qualification to follow-up to close-without manual prompts. "This is not just another CRM; it's a category-defining automotive sales ecosystem built on the foundation of Fullpath's battle-tested AI," said CEO Roy Ganon in the announcement.
What makes it different
Traditional CRMs depend on human inputs to move work forward. Fullpath's Agentic CRM deploys AI agents that act like trained sales reps: they prioritize, outreach, handle objections, and escalate when needed. Early adopters report up to 40% faster response times. That matters when 60% of buyers expect a reply within 15 minutes, per Fullpath's Auto Intelligence Index.
- AI-powered marketing automation to drive demand
- Intelligent lead management to score and route
- Autonomous sales execution to engage and close
- Post-sale service optimization to retain and upsell
The Agentic CRM sits at the center, pulling insights from CDXP to surface high-value opportunities and launch the next best action automatically.
How it works
The system blends large language models with reinforcement learning to mimic a seasoned sales team's intuition. Agents analyze first-party data in real time, predict buying intent, and initiate personalized outreach via email, text, or voice-no rep intervention required. If a scenario gets complex or high-stakes, the system flags a human-in-the-loop and logs an audit trail.
In a demo highlighted by StreetInsider, the CRM qualified a prospect, booked a test drive, and sent financing pre-approvals within minutes. Integrations with Reynolds & Reynolds and CDK Global help dealers deploy quickly, with Fullpath claiming most clients see ROI inside three months.
From data silos to unified intelligence
The platform ingests DMS records, inventory feeds, and third-party data to create a single source of truth. Agentic AI then scores leads, forecasts inventory needs, and can even negotiate pricing within set guardrails. That's a direct strike at a long-standing issue: industry benchmarks in Fullpath's materials show dealerships lose about 70% of leads due to slow follow-up.
The promise is simple: fewer missed handoffs, faster cycles, and cleaner pipeline visibility across stores and teams.
Why sales leaders should care
U.S. auto sales hovered around 15.5 million units in 2025, while high rates and macro uncertainty kept shoppers cautious. Staffing costs eat roughly half of gross profits, and internet lead conversion sits at 15-20% in many rooftops. Sales orgs need to compress response times, lift contact rates, and protect margin-without adding headcount.
Industry voices argue this is a step beyond basic chatbots. Agentic systems learn from outcomes and adjust plays on their own, improving with every interaction.
Competitive snapshot
The field is crowded-VinSolutions, DealerSocket, and Elead lead many RFPs, and AutoRaptor ranks well for independents. Competitors offer AI features like lead scoring, but Fullpath is staking a claim on full autonomy. The company serves 1,000+ U.S. dealerships, processes billions of interactions annually, and cites partnerships including Google Cloud for scale and reliability. Learn more about Google Cloud.
Real-world results
Pilot programs with groups like Asbury Automotive and Lithia Motors show traction. One store reported a 35% lift in service appointment bookings from agent-driven reminders. Dealers describe the system as "24/7 sales reps who never sleep," with social chatter praising its voice AI for natural conversations that hold up against human reps.
Questions remain around data privacy and compliance, especially with CCPA expansions. For a refresher on requirements, see the California AG's overview: CCPA.
What to sort out before a pilot
- Data hygiene: Clean DMS, CRM, and inventory records; fix source tracking; map duplicate handling.
- Integrations: Confirm connections to DMS, phones, texting, email, calendars, and inventory feeds.
- Guardrails: Pricing floors/ceilings, incentive rules, OEM compliance, escalation triggers.
- Consent & compliance: Opt-in/opt-out flows for SMS, email, and voice; retention policies.
- Playbooks: Cadences by lead source and model line; objection libraries; brand voice guidelines.
- Measurement: Baseline KPIs and a holdout group; weekly readouts with clear pass/fail thresholds.
The sales playbook this unlocks
- Speed-to-lead: Instant outreach across SMS, email, and voice with time-of-day optimization.
- Prioritization: Lead scoring tied to intent signals and inventory fit.
- Dynamic offers: Guardrail-based pricing and incentives, escalated to a manager when needed.
- Appointment engine: Automated test-drive scheduling and rescheduling with reminders.
- Human-in-the-loop: Route high-value or complex deals to top reps with full context.
- Service growth: VIN-based service reminders, recalls, and upsells post-sale.
Risks and safeguards
- AI errors or hallucinations: Use strict templates, verification steps, and escalation rules.
- Compliance: Keep consent current; log outreach; audit content.
- Data security: Confirm on-prem or federated learning options; restrict access by role.
- Model drift: Monthly QA of transcripts, outcomes, and win reasons.
- Brand voice: Provide examples, banned phrases, and tone guidance for every channel.
Metrics to watch in the first 90 days
- Sub-15-minute response rate by source
- Contact rate, appointment set rate, and show rate
- Lead-to-sale conversion by model line and store
- Gross per copy and discount variance vs. control
- Cost per sale and time saved per rep
- Service appointment volume and show rate
Bigger picture
This launch lands alongside broader agentic AI moves, from Salesforce's Agentforce to Cerence's in-car platforms. In automotive retail, it strengthens franchise dealers' digital execution at a moment when OEM-direct models are testing traditional flows. The upside is clear; the winners will pair automation with clean data, sharp guardrails, and tight change management.
Next steps for sales leaders
- Pick two rooftops for a 60-90 day pilot with a clean holdout group.
- Lock KPIs: response time, contact, appointment, show, close, gross.
- Set pricing guardrails and escalation logic on day one.
- Review five random conversations per rep per week-coach fast.
- Reallocate rep time saved to live calls and showroom appointments.
If you're skilling up your sales team on AI workflows and automation, explore practical role-based options here: AI courses by job. For process automation ideas, see the latest picks: Automation resources.
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