How to Run an AI Dispatch Pilot Across 10 Franchise Locations

Dispatcher enables franchise organizations to run a structured AI dispatch pilot across 10 to 20 locations in 90 days, measuring four key metrics before committing to a network-wide rollout. At $2 per answered call and $10 per dispatched job, the pilot costs a fraction of a traditional technology evaluation — and because Dispatcher uses template-based deployment, the same configuration that serves the pilot serves the full network.

Every enterprise technology decision benefits from a structured proof-of-concept. For franchise operations leaders evaluating AI dispatch, the pilot is not just a test of the technology — it is a test of the deployment model, the operational fit, and the financial case. This playbook covers how to design, execute, and evaluate an AI dispatch pilot that produces actionable data.

Week 1-2: Pilot Design and Location Selection

The first decision is which locations to include. Resist the temptation to select only top-performing locations. A representative pilot needs variation. Select 10 to 20 locations that reflect the diversity of the network: 3 to 4 high-volume locations (80+ calls/month), 3 to 4 average-volume locations, and 2 to 3 locations that currently struggle with missed calls. If the franchise spans multiple markets or time zones, include geographic diversity.

Define a control group of 10 comparable locations that will not receive Dispatcher during the pilot. Comparing pilot against control isolates the impact of AI dispatch from seasonal trends or marketing campaigns.

Document baseline metrics for all locations before Dispatcher goes live. The four metrics that matter are call answer rate, booking rate (answered calls resulting in a scheduled job), missed call volume per location per week, and revenue per location per month.

Week 2-3: Template Configuration and Deployment

The franchisor defines one Dispatcher template for the pilot brand. This template includes the AI Voice configuration (using the franchise’s chosen voice platform — GoHighLevel, Vapi, Bland, or another BYOV-supported provider), the FSM integration settings for Jobber or the applicable platform, scheduling rules, and branded conversation flows.

Dispatcher’s template system means this configuration step happens once, regardless of whether the pilot includes 10 locations or 200. The operational investment is in defining the template correctly — the deployment across locations is mechanical.

Each pilot location completes the self-service onboarding: authenticate their FSM account, confirm service area and business hours, and run a test call. Most locations complete onboarding in a single session. By the end of week 3, all pilot locations should be live and handling real inbound calls through Dispatcher.

Week 3-12: The 90-Day Measurement Period

Ninety days provides three complete monthly cycles. This duration is long enough to smooth out week-to-week variability and short enough to maintain organizational attention. During this period, Dispatcher handles inbound calls at the pilot locations while the control group continues operating as before.

Dispatcher produces structured records for every call: whether the call was answered, what the AI captured, whether a job was booked, and the outcome in the FSM. These records feed directly into the four pilot metrics.

Call answer rate. Across the home services industry, contractors answer approximately 65% of calls, leaving roughly 35% unanswered (Service Direct). Dispatcher’s AI answers every inbound call with no hold times, no voicemail, and no after-hours gaps. The pilot should show pilot locations approaching 100% answer rates while control locations remain near the 65% baseline.

Booking rate. Not every answered call converts to a booked job — some callers are price shopping or outside the service area. But Dispatcher’s real-time FSM integration means callers who want to book can be scheduled immediately, without waiting for a callback. Measure confirmed jobs as a percentage of answered calls and compare pilot versus control.

Missed call reduction. This is the simplest metric. Count the number of calls that reach voicemail or go unanswered at pilot locations versus control locations. Research from Invoca shows that 78% of callers who reach voicemail call the next contractor — so every missed call reduced is a potential customer retained.

Revenue impact. The ultimate metric. Compare average revenue per location per month for pilot locations versus control locations over the 90-day period. If Dispatcher is reducing missed calls and increasing bookings, revenue should rise at pilot locations relative to the control group.

Month 4: Pilot Evaluation and the Expansion Decision

At the end of 90 days, the franchise operations team has three months of comparative data across pilot and control locations. The evaluation is straightforward.

Calculate the average improvement across each metric for pilot locations relative to the control group. Quantify the revenue lift per location and compare it against Dispatcher’s cost for those locations. At $2 per call and $10 per dispatch, a location handling 60 calls and 20 dispatches per month costs $320 in Dispatcher fees. If the location gained even one additional $500 job per month from reduced missed calls, the ROI is positive.

Then calculate the projected impact at full network scale. If 100 locations each show similar improvement, the annual revenue impact and cost savings become the business case for full deployment. Compare the projected $32,000/month Dispatcher cost for 100 locations against the $550,000/month human dispatcher equivalent — that 94% cost difference is the headline number, but the revenue lift from reduced missed calls is often the more compelling metric for operations leadership.

Why the Pilot-to-Deployment Transition Is Seamless

The critical advantage of running a Dispatcher pilot is that the pilot infrastructure is the production infrastructure. The template that served 10 pilot locations serves 100 or 1,000 locations without modification. There is no re-implementation, no migration, no second integration project.

When the operations team approves expansion, the process is operational: open self-service onboarding to the next batch of locations, monitor adoption, and scale. Dispatcher’s pricing scales linearly — no volume tiers, no enterprise licensing surprises. The pilot is not a throwaway proof-of-concept. It is the deployment at smaller scale. Expanding it is an operational decision, not a technical project.

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