Watch: How service businesses eliminate 50-300 hours/month of manual work
3 minHalf your calls go to voicemail. Quotes sit unsent for days. Invoices don't go out until someone manually enters them. Your follow-up process runs on memory and sticky notes. We replace that manual glue work with AI systems — and eliminate 50-300 hours/month of it.
The 15-minute call determines fit. If there's a clear opportunity, we schedule a full AI Operations Diagnostic — and you walk away with a complete roadmap whether we work together or not.
We'll ask about your tech stack (ServiceTitan? Housecall Pro? GoHighLevel?), your team size, and where manual work is eating time. In 15 minutes, we'll know if there's a clear opportunity — or if it's not the right fit.
Dispatch coordination between your office and field teams. Lead follow-up from Google LSA and Angi. Invoicing delays after job completion. Reporting you're building manually in spreadsheets. We find all of it.
Not "AI might help here" — concrete numbers. "Your team spends 120 hours/month on manual lead follow-up and job scheduling. AI reduces that to 15 hours. That's $3,500/month in recovered labor."
Bottleneck map. Ranked opportunity list. ROI projections per workflow. Implementation timeline. You keep this regardless of whether we work together.
If no clear ROI exists, we'll tell you on the 15-minute call — and save you both the time.
We work with home service companies, professional services firms, agencies, and sales organizations between $5M-$20M in revenue.
This is an infrastructure install — not AI experimentation.
Here's one real workflow transformation from day one.
A homeowner calls at 7pm for an emergency plumbing quote. It goes to voicemail. The next morning, your office manager listens to the message, manually creates a record in ServiceTitan, looks up availability, calls the customer back, plays phone tag, and finally books the job — if they haven't already called a competitor.
At 30+ missed calls/week, you're losing $15K-$40K/month in jobs that go to the company that answered first.
AI instantly texts the homeowner back with booking options, qualifies the job type, checks tech availability in your scheduling system, and either books directly or routes to your dispatcher with all details pre-filled — in under 2 minutes, 24/7.
Same 30 missed calls/week now convert at 2-3x the rate. Your office manager focuses on high-value coordination instead of phone tag.
That's one workflow. Most clients have 5-7 like this — job dispatch coordination, invoicing after completion, review requests, lead follow-up, weekly reporting. We automate all of it inside tools you already use.
Most service businesses don't fail at this stage. They stall.
Not because the work dries up — because complexity starts eating margin.
AI fixes these structural leaks by turning manual throughput into infrastructure-powered throughput.
Translation: scale without adding layers of headcount and coordination overhead.We map every manual workflow — missed call follow-up, lead qualification, dispatch coordination, invoicing, review requests, weekly reporting — and rank the 3-7 highest-ROI automations.
Real example: An HVAC company's office team was spending 4 hours/day returning missed calls and manually booking jobs. That single automation recovered $5,100/month in labor and increased their booking rate by 35%.
We build AI agents that live inside your CRM, your scheduling platform, your communication tools, and your reporting dashboards. No new platform. No logins. No "check the AI tool."
Real example: AI that instantly responds to every missed call with a text, qualifies the job type, checks tech availability, and books directly into the schedule — all in under 90 seconds, 24/7.
We don't hand off a system and disappear. Your team gets live training, Loom walkthroughs, playbooks for every workflow, and 90 days of performance tracking with weekly check-ins.
Real example: One client's dispatch team went from "I don't trust the AI" to letting it handle 60% of inbound lead qualification in under 3 weeks — because we trained them hands-on, not with a PDF.
If you've scaled a company past $5M, you've felt the moment when growth stops feeling exciting and starts feeling heavy. More customers should mean more profit — but instead it means more hires, more coordination, and more things breaking.
Steven Ellis has been inside that problem for over a decade. As a business operator, he founded and scaled multiple companies across consumer products, services, and media. As a growth strategist, he managed and influenced over $100M in advertising spend — building acquisition systems, scaling paid channels, and optimizing funnels across dozens of businesses.
Through Scale With Steven, he coached hundreds of business owners on sustainable growth systems, offer design, and operational scaling. As an embedded strategic partner, he's worked inside businesses on everything from revenue architecture to backend operations.
Across every business, he kept seeing the same pattern: the companies that scaled cleanly weren't working harder. They were installing better infrastructure.
That realization led to Agentive. Today, Steven applies the same operational intensity — the same "inside the business" approach — to installing AI as infrastructure. Not as experiments. Not as tools. As the systems layer that lets growth-stage businesses compound without collapsing.
Steven's background in creative storytelling (including Hollywood development) means Agentive builds systems that are human-centered, narrative-driven, and designed for real adoption — not just technical correctness.
Outcomes vary by business. Here's what we typically see in the first 90 days.
Typical early wins: 50-300 hours/month of manual work eliminated in the first implementation phase.
Results from real engagements with service businesses.
“Our 3-person office team was drowning in callbacks, manual scheduling, and chasing techs for job completion notes. Steven's team automated call-back texting, job booking, and post-job invoicing. We redeployed one admin to sales coordination — and average ticket went up 18% in 60 days because someone was finally upselling instead of doing data entry.”
“We spend $55K/month on Google LSA and Angi leads. But our team took 4-6 hours to follow up — by then, the homeowner already booked a competitor. Agentive built AI qualification that responds in under 2 minutes, 24/7, with a personalized text and email. Close rate went from 14% to 23%. The system paid for itself the first week.”
“I was budgeting $240K for two coordinators and an office manager. Steven walked through our CRM, scheduling, and invoicing workflows and showed me that 70% of what they'd do was manual data movement that AI handles better. We hired one person instead, built the AI systems in 6 weeks, and actually got more output than the original 3-person plan.”
Results represent typical outcomes. Individual results vary by business complexity and current operational maturity.
Every service business has unique workflows — but the bottlenecks follow the same patterns. Here's what we typically find.
Across dozens of growth-stage service companies, the same ceiling appeared: every new dollar required another hire, another dispatcher, and another layer of complexity.
The root cause wasn't effort or talent. It was manual throughput trapped between systems — missed calls, delayed quotes, disconnected scheduling, and reporting by spreadsheet.
Infrastructure your business keeps — not rented consulting hours.
Most initial systems go live in 30-90 days depending on scope.
We audit your CRM, scheduling, dispatch, and communication workflows. You get a ranked list of automations with ROI projections for each.
AI agents deployed into your CRM, scheduling platform, communication tools, and reporting dashboards. First systems live within 2-3 weeks.
Live Zoom training for your team. Loom walkthroughs for every workflow. Playbooks in Notion or your wiki. We don't leave until it's SOP.
Weekly performance reviews. System tuning as your business evolves. New automations added as we identify more opportunities.
Every engagement is designed using frameworks from Steven's direct experience scaling businesses. Most diagnostics are personally led by Steven to ensure strategic alignment with your specific operations.
That's actually most of our clients. ChatGPT can't see your job schedule. Zapier breaks when your workflows change. VAs don't scale. We build AI agents trained on your service offerings, your pricing, your SOPs — integrated directly into your CRM, scheduling platform, and communication tools. The difference between ChatGPT and AI infrastructure is the difference between a gym membership and a personal trainer.
A freelancer builds one Zapier integration and disappears. A developer doesn't understand your close rate, average ticket, or why your dispatch process breaks at 15 jobs/day. We've worked inside hundreds of service businesses — we know which automations actually move the needle and which ones waste money. Plus we stay for ongoing optimization.
They won't use new platforms. That's why we don't build new platforms. The AI lives inside their text messages, inside their CRM, inside their email, inside the tools they already use every day. We do live Zoom training, record Loom walkthroughs, and build Notion playbooks. Adoption isn't optional — we don't leave until it's standard operating procedure.
Engagements range from $15,000-$50,000 depending on scope, scoped after the diagnostic. For context: if we eliminate 150 hours/month of manual work at $30/hour loaded labor cost, that's $54,000/year in recovered capacity. Most clients see full ROI within 30-60 days. This isn't a consulting retainer — it's infrastructure you own permanently.
If we don't identify clear, measurable ROI during the diagnostic, we won't recommend implementation. You keep the roadmap either way.
If we do recommend implementation and it doesn't produce positive ROI within 30 days, we unwind the engagement.
This is for founders and leadership teams who:
Note: If you're under $5M or don't yet have repeatable workflows, the timing isn't right for AI infrastructure. We'll tell you on the call — no hard feelings.
We'll review your tech stack, your biggest manual bottlenecks, and whether AI infrastructure makes financial sense for your business. If it doesn't, we'll tell you in the first 5 minutes and save you the time.
Ready now? Book the call →