Episode Overview
Most contractors asking about AI Voice Agents are asking the wrong question first. Instead of "Is this tool right for me?", the better question is: "Is my business ready for it?" In a recent episode of the Mastering ServiceTitan podcast, host Josh Lu sits down with Lorenzo Plaath, Owner and CEO of Kanara Enterprises, to walk through exactly what it takes to build that foundation. Plaath has spent nearly a decade helping contractors implement and optimize ServiceTitan, and here he lays out a structured 30-60-90 day AI readiness plan — built to ensure that when contractors finally flip the switch on tools like AI Voice Agents, the platform actually performs.
The 30-60-90 Day AI Readiness Plan
The framework Plaath uses with clients isn't just about getting set up — it's about building in layers, in the right order.
The first 30 days centers on cleanup and standardization. That means a thorough audit of the ServiceTitan account: resolving data quality issues, reviewing job types and membership structures, documenting workflows, and capturing baseline KPIs — booking rates, average ticket, revenue per technician, membership conversion. Plaath also looks at third-party integrations to confirm accounting and marketing systems are flowing cleanly into ServiceTitan. Before any AI tool enters the picture, this snapshot has to be accurate.
Days 30 to 60 shift to governance and enforcement. Standard operating procedures get documented and distributed — around booking, dispatching, job completion, and invoicing. Accountability dashboards go up so managers can see what's actually happening in real time. Plaath also recommends establishing clear dispatch board rules at this stage: who assigns jobs, how the board gets managed, and how CSRs and dispatchers stay aligned. "Getting proper governance around the dispatch board — making sure that everybody's on the same page with respect to that," he says. Once those rules are in place, Dispatch Pro becomes a natural next step to extend what's already working.
The final 30 days — the 60 to 90 phase — is where product adoption happens. AI Voice Agents, Marketing Pro, Scheduling Pro, Sales Pro: this is when they get layered in. But Plaath is clear that getting here means the groundwork is already solid. "When it is done properly and it's standing well, it becomes exciting to see the capabilities of AI and what it can do for your business."
What Has to Be Clean Before AI Voice Agents Go Live
AI Voice Agents are the tool Plaath hears about most from contractors right now. And they're also the tool most contractors aren't ready for.
The risk isn't just a poor booking rate. It's brand damage. "The biggest challenge that you want to avoid is for that voice agent to misrepresent your business," Plaath says. "You almost lead the customer — and you know what's happening — they pick up the phone and they call the next contractor down the road."
Getting Voice Agent-ready in the first 30 days means cleaning up these specific areas:
Price book standardization — accurate pricing, properly structured, ready to be surfaced by the agent
Job types — clearly defined and consistently applied
Dispatch board availability — technician schedules set accurately so the agent isn't booking into gaps that don't exist
ServiceTitan Mobile setup — technicians trained and equipped to handle jobs that come through from agent bookings
For the 30-to-60 transition, Plaath points to call handling standards as the area where he sees the most contractor-side breakdowns. That means defining a precise booking script, establishing call categorization, and building a clear escalation path — knowing exactly at what point a call hands off from the bot to a human. The inbound/outbound routing rules inside ServiceTitan matter here too. These aren't glamorous setups, but they're what determine whether the voice agent performs or embarrasses.
Governance, Field Enforcement, and the Human Element
One of the less-discussed parts of AI readiness is what happens after the call gets booked. The field team has to execute. Plaath's approach here is hands-on: he does ride-alongs with technicians to identify gaps in how ServiceTitan Mobile is actually being used versus how it's supposed to be used.
"I've seen, if you put the human element around training them, it goes a long way," he says. That includes identifying a champion on each technician team — someone who can keep colleagues on track — and giving field staff simple cheat sheets to reference when they need to close a job quickly. It's a low-tech fix that pays off at scale.
His broader point: governance is more art than science. You can have perfect SOPs documented and still have a fuzzy picture of what's actually happening unless you've seen it firsthand.
Benchmarking ROI and the Mindset Shift
Plaath closes the loop on the 90-day journey by tying everything back to a return-on-investment story. The before-and-after isn't just anecdotal — it's built into the audit from day one. Job margins, job costing, business margin, average ticket size: these numbers get captured at the start so that by day 90, there's a clear comparison.
"You want to have a level of predictability and see what is the things that you can achieve," Plaath says, "especially during slow times or even during busy times to be more efficient."
But the numbers only tell part of the story. Plaath is direct that mindset is where the work really begins — he puts it at 80% of the equation. His own investment in coaching through Tony Robbins shaped how he thinks about building businesses, and he applies that framework when working with contractors who are overwhelmed by the pace of change. The contractors who benefit most from AI aren't necessarily the ones with the biggest budgets. They're the ones who approach it with structure, patience, and a willingness to go all in. "Play full out," he says. "If you play halfhearted, you will not get the success."
Check out these resources mentioned during the podcast:
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