AI automation agency for service businesses

What does the agency do for a service company?

It scopes the workflow, builds the system, wires it into the software you already run, ships it into your live operation, and measures it. We are implementers, not advisors, and we do not sell software licenses or generic chatbots. The engagement runs in four steps, each with a written commitment (how we work). A 30-minute working session and the diagnosis that follows give you a revenue leak map and an ROI projection in 1 to 2 weeks, and we tell you not to hire us if projected year-one ROI is under 3x. The build plan, a roadmap with timelines, costs, and expected outcomes, follows in 1 to 2 weeks and is yours whether or not we proceed together. The build ships in 3 to 8 weeks depending on scope, production-grade only, with a kill switch on every deployment. Then we measure at 30, 60, and 90 days against the projection, and if a workflow underperforms it by 20% or more we redesign on our dime. Every deployment includes 30 days of post-launch support; after that, ongoing costs are AI usage passed through at cost and an optional monthly optimization retainer (the FAQ).

Each module has its own page: AI voice agents, quote automation, the dispatcher copilot, review reactivation, AI chatbots, AI in your existing app, and AI consulting. The table above says what each does, what it is wired into, and how long until it is live; each page carries its week plan and what it measures. One engineering practice, shipping since 2014, builds all seven and the custom software; the AI development page covers the generative AI, the applied machine learning, and the stack underneath them.

One distinction matters. Agencies in the usual sense build what you ask for. Every Plainbuilt engagement starts with a paid diagnostic that works out what you should build first, and the AI consulting module is the version where a fractional AI lead also oversees the build, whether your own team does it or we do.

What have the deployments measured?

Three published case studies, the cards under Proof above. The numbers below are the ones each study states, with the baseline each moved from and the method behind it.

• A regional concrete contractor, $10M to $15M in revenue with 60+ field crew, lost an estimated 15 to 20% of inbound leads to voicemail. A voice agent on Twilio and ServiceTitan, deployed in weeks 5 to 8 of a 12-week engagement, lifted monthly lead capture 23% within 60 days of deployment: leads that went to voicemail were qualified and booked on their own. Quote generation, in weeks 9 to 12, cut quote turnaround on standard jobs from 2 to 3 days to under 4 hours, and close rates on those quotes improved 15%. Read the case study.
• A regional logistics agency, $15M to $25M in revenue with a fleet of 80+ owner-operators and company drivers, ran its routes through two dispatchers and a whiteboard. A dispatcher copilot on McLeod and Samsara, live in suggestion mode at week 6 and semi-autonomous by week 16, cut route planning time from 2 to 3 hours to under 1 hour per dispatcher, a 50% reduction. Manual check-calls dropped from 60 to 80 a day to 10 to 15 exception-only calls, and shipper NPS went from 32 to 51 in the first quarter after deployment. Read the case study.
• A 3-location cleaning and restoration company, $5M to $8M in revenue with 20+ techs, had past customers dormant in Jobber. Review reactivation and an SMS agent, live in 3 weeks as one sprint, reactivated 340+ dormant customers within 90 days through automated SMS sequences, and the rebooking rate on targeted segments rose 2.4x against the previous quarter's manual outreach. Negative-review response time dropped from 3+ days to under 2 hours. Read the case study.

Where do most service companies start?

With one module, usually the voice agent, because a missed call is the leak with a number on it: the contractor above lost an estimated 15 to 20% of leads to voicemail before the agent answered. Most contractors add quote generation in month 2. Logistics operators start with the dispatcher copilot and add SMS and email in months 2 to 3. Field-service operators start with the voice agent plus the SMS agent, and ROI is typically visible within 60 days; the cleaning company above started with review reactivation and the SMS agent. Before the working session, two free things size your own leak: the AI readiness checklist, thirty questions in five groups whose gaps are the first project, and the ROI calculator, which turns missed calls per month, average ticket, and close rate into the monthly revenue leakage. Then book a 30-minute working session, and the diagnosis that follows writes the number down.