AI agents that clock in and get it done.
They answer, act, update records, trigger workflows and pull in a human when it matters. Real work, not chat.
Six agents, one rulebook
Each agent owns one job and reports on it. You see exactly what got better, and what still needs a person.
| AI agent | What it does |
|---|---|
| Gatridge Voice | Answers inbound calls, captures information, routes conversations, and books appointments. |
| AI Follow-Up Agent | Calls or messages leads, missed callers, inactive customers, and no-show appointments. |
| AI Scheduling Agent | Finds availability, schedules services, sends confirmations, and handles rescheduling. |
| AI HR Support Agent | Answers policy questions, guides employees through requests, and directs them to HR workflows. |
| AI Workflow Agent | Creates tasks, sends reminders, updates records, requests documents, and escalates exceptions. |
| AI Insights Agent | Flags missed revenue opportunities, call trends, staffing patterns, and workflow bottlenecks. |
You set the rules. AI does the grind. People make the calls.
Every agent works inside boundaries you define: what it can promise, what it must confirm, when it must hand over. Configuration, not a prompt. It doesn't drift.
Scoped narrowly
An agent that does five things reliably is worth more than one that attempts thirty and surprises you on a Sunday.
Deterministic guardrails
Urgency triage, refund limits and compliance language are rules in code, not instructions in a prompt.
Handed over cleanly
When a person takes the call, the summary is already in front of them. Nobody asks the customer to start again.
What a week with agents looks like
The work doesn't vanish. It stops needing someone to notice it.
- Monday's missed calls are already returned before the team logs in.
- Thursday's no-shows are refilled from the waiting list overnight.
- Document requests chase themselves until the file arrives.
- The bottleneck report arrives before anyone asks for it.
Put agents to work on your busiest hour
Pick the hour your team dreads. We will show you what the agents would have handled in it, using your own data.