AI Dispatcher
Captures job requests, gathers details, confirms next steps, and keeps after-hours leads from going cold.
- Call/text/web lead intake
- Urgency and job detail capture
- Scheduling or queue handoff
Guad Squad builds and runs practical AI employees for intake, follow-up, scheduling, reporting, document chasing, CRM cleanup, and back-office admin — with approvals, logs, and human handoffs from day one.
The hook
The cost is not just payroll. It is delayed replies, forgotten follow-ups, stale records, duplicated updates, and managers becoming human routers.
AI employees
Each AI employee is scoped around a real workflow, connected only to approved tools, and launched with clear rules for what it can do, draft, log, and escalate.
Captures job requests, gathers details, confirms next steps, and keeps after-hours leads from going cold.
Turns forms, emails, and call notes into clean intake records with missing details and next steps surfaced.
Keeps quotes, estimates, renewals, and stale opportunities moving without making your team remember every touch.
Collects approved inputs and turns messy updates into weekly summaries, exceptions, and owner-ready action lists.
Chases documents, sends reminders, updates lists, and prevents routine internal work from clogging the day.
Finds stale records, missing fields, next-step gaps, and account notes that keep sales teams babysitting databases.
Proof without theater
For a faceless launch, trust has to come from the operating system: narrow scopes, visible logs, approval rules, and a working first workflow before expansion.
Example first build
After-hours lead intake for an owner-led service business.No fake case study. This is the kind of narrow workflow Guad Squad looks for first: recurring, rules-based, expensive when missed, and easy to review.
Process
The first build should prove value quickly, stay narrow enough to trust, and create the playbook for every AI employee after it.
We identify the repetitive workflow, the systems involved, the edge cases, and the cost of doing nothing.
We connect approved tools, define permissions, write the operating rules, and build the first AI employee.
The workflow starts with approvals, logs, test cases, and explicit human handoffs where judgment matters.
We review performance, tighten the runbook, and move to the next highest-value workflow when the first is trusted.
Guardrails
Useful automation needs boundaries. Every AI employee is designed around scope, visibility, and escalation — not magic.
Sensitive, customer-facing, unusual, or judgment-heavy work starts in draft/review mode before autonomy increases.
Every workflow gets documented rules, action logs, escalation paths, and a clear way to understand what happened.
AI employees only get the access they need for the scoped job. No broad, mystery access to your business.
Simple pricing
Includes the initial setup, first AI employee workflow, ongoing maintenance, tuning, support, logs, and human handoff rules. No separate setup fee for the first workflow.
Why this works
Most AI projects fail because they start too broad. Guad Squad starts with one workflow already costing time, money, or customer trust. Once the first AI employee is useful, additional workflows can be added for $1,000–$1,500/month depending on complexity.
AI workflow guide
Use the AI guide for deeper questions, fit checks, pricing context, or to send enough detail for a workflow review. When you submit the form, it notifies Guad Squad directly.
Next step
Send the inbox pile, intake queue, follow-up gap, reporting grind, document chase, CRM mess, or scheduling problem. We will tell you whether it is a fit for an AI employee — and what the first safe version should do.