G-Auto is the operations layer for local service businesses. We deploy AI agents that answer every call, reactivate every old lead, and convert every website visitor — instrumented in a single dashboard, fully observable, owned by you.
Sample platform-wide figures. Replace with your audited numbers once 30 days of operational data have accumulated post-launch.
We audit hundreds of local service businesses. The diagnosis converges to three places where revenue exits the funnel.
Most operators answer under 70% of inbound calls. Voicemail callback rates run sub-15%. The voicemail itself is a customer-experience tax.
78% of CRM records get no second touch. Old leads sit at $0 marginal cost — but the operator has no bandwidth to run the outreach.
Forms convert at 1–2%. The five-minute response window is missed routinely. Nighttime traffic — high intent, low friction — bounces entirely.
G-Auto deploys, monitors, and tunes each module from a single workspace. Activate one at a time or all four — they share state, authentication, and a single performance view.
A 24/7 inbound AI receptionist that answers in <2s, qualifies the caller, and books into your calendar — with human transfer fallback.
A TCPA-compliant outbound SMS workflow that mines your CRM for dead leads and re-engages them into booked appointments.
Site-embedded conversational agent + 5-minute SMS follow-up + booking flow. Visitors land on your calendar before they bounce.
When the productized modules don't fit, a 2-week scoped engagement to deliver a bespoke automation, integration, or agent workflow.
High-touch consult bookings · no-show recovery · post-treatment retention.
+34% booking rate · −41% no-show rate · 11x ROI on Reactivation
Run an automation business without observability and you're running blind. G-Auto ships with operational instrumentation by default — every agent decision is captured, traceable, and reviewable.
Every interaction has an audit-ready trace ID. Replay the agent transcript, tool calls, and decision graph end to end.
Latency, conversion, and answer-rate SLOs defined in the SOW. Auto-alert when any module falls below threshold.
Real-time platform cost broken down by module + integration. Margin protection by default.
TCPA / GDPR / HIPAA-ready audit log. Opt-outs, consent, and data access tracked at the row level.
Discovery call covering current intake, CRM state, and conversion bottlenecks. Output: a documented funnel map + recommended module deployment, delivered as a one-pager.
Module deployment, integration into your stack, and observability instrumentation. Mid-sprint check-in on day 5. UAT on day 9. Production go-live on day 12.
Module runs in production under SLO. Monthly retainer covers monitoring, tuning, and a structured operations review delivered to your inbox every Monday.
Identifying details are withheld at client request. Reference calls are available to qualified prospects under MSA.
The owner-operator was losing an estimated 35% of inbound consult inquiries. Front-desk staff couldn't keep up during peak hours, and after-hours calls went to a generic voicemail with a ~12% callback rate. A 1,800-contact dormant lead list hadn't been touched in six months.
"Within the first week the front desk stopped triaging missed calls and started actually selling at the desk. Reactivation paid for itself by day four."
Identifying details withheld at client request. Reference available on request under MSA.
Annual benchmark of 200+ local service operators: answer rates, lead recovery, response SLAs, and the ROI of AI-led intake. Forthcoming Q3 2026.
Notify me at launchThe exact 5-message SMS sequence + segmentation rules + offer frameworks we deploy. Adapt to any vertical.
Request the playbookArchitecture, latency targets, integrations, and observability standards for the Voice Operations module.
Download the brief20 minutes. We map your current intake, identify the three biggest operational leaks, and document a deployment recommendation you keep — whether or not we work together.