We deployed an autonomous workflow that handles customer intake, qualification, and estimate generation for Line-X — replacing a multi-day manual process with an intelligent system that runs 24/7 and closes leads 3x faster.
Line-X operates a franchise network of 650+ locations across North America applying protective coatings to trucks and commercial vehicles. The business model relies on capturing local demand—a customer calls or fills out a web form to get a quote, but the process was broken. Franchise owners and managers were manually handling inquiries: reading customer descriptions, scheduling site visits, measuring vehicles, running calculations, and emailing back estimates. The whole cycle took 3-5 business days.
During that wait, customers lost interest. They called competitors. They scheduled with other shops. By the time an estimate arrived, the deal was already gone. Line-X was measuring inquiry-to-close conversion rates of 18% when industry benchmarks showed 42% were achievable with faster turnaround. The throughput constraint was eating into revenue directly.
The franchise model made this worse, there was no central dispatch, no standardized process. Each location did things differently. Some were faster, some slower. Customers had an inconsistent experience. What the network needed wasn't better franchise training. It was a system that could handle intake and estimating autonomously, removing the manual bottleneck entirely.
When a customer fills out a web form or calls, an agentic system asks clarifying questions in natural language, extracting vehicle type, model year, condition, desired coating, urgency, and location. Unlike forms, the system adapts, if a customer says "truck bed," it knows to ask about tonnage and year. The intake takes 2 minutes instead of requiring a franchise associate to do a 20-minute phone call or site visit.
The agent evaluates each intake to determine if it's a qualified lead worth pursuing. It assesses job complexity, customer intent signals, location coverage, and seasonal demand patterns. Marginal leads are tagged for lower-priority handling; high-confidence opportunities are prioritized. This filtering ensures franchisees focus on deals most likely to close.
For qualified leads, the agent performs the estimate calculation using Line-X's pricing model, materials data, labor tables, and equipment specs. The system factors in job-specific variables: vehicle size, coating type, urgency, seasonal pricing, and local competitive landscape. Within seconds of qualification, a detailed, personalized estimate is generated and sent to the customer via email or SMS.
The system doesn't stop after the estimate. It monitors response signals, email opens, link clicks, reply messages, and automatically triggers follow-up sequences. If a customer views the estimate three times but doesn't respond, the system sends a nudge. If they respond with questions, the agent answers with product specs or scheduling options. The franchise associate only jumps in if the customer explicitly requests a conversation or appears ready to close.
The system delivers estimates in 2-4 hours compared to 2-5 days with the manual process. An inquiry that came in Monday afternoon now gets a quote by Tuesday morning, or the same day if submitted before 5 PM. That speed compresses the competitive window. Customers see Line-X is responsive and professional. Deal velocity increased measurably.
Quote-to-close conversion improved 64% (from 18% to 29.5% within six months). Faster estimates meant customers were still in-market when they received quotes, increasing acceptance probability by 11 percentage points across the franchise network.
All 650 franchise locations now follow the same intake and estimation process. Customer experience is consistent. Pricing is standardized. Estimates are always professional and thorough, no variation based on which location the inquiry lands.
The system runs continuously, handling inquiries around the clock. Franchisees no longer need to stay late answering intake questions or crunching estimates. Customer inquiries received at 11 PM get a response by 6 AM. No lead sits overnight waiting for a human response.
Before we deployed any agent, we spent three weeks shadowing franchisees and documenting their intake-to-estimate workflows. We identified decision points, data requirements, edge cases. That clarity meant the agent didn't have to guess how to handle an unusual request, we'd already seen it happen and defined the rule. This rigor prevented the system from becoming a liability.
The system is autonomous but not ignorant. When it encounters a situation outside its confidence range, an unusual vehicle type, unclear customer intent, a potential fraud signal, it immediately escalates to a franchisee with full context. The franchisee doesn't re-interview the customer; they get the transcript and can respond intelligently. This design meant franchisees trusted the system rather than feared it.
Every estimate the system generates, every customer response, every closed deal feeds back into the model. The system learns which types of inquiries close, which follow-up messages work, which pricing adjustments win deals. This means the system gets smarter every week. By month six, it was making better qualification decisions than most franchisees could make in real-time.
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