Agent Teams
Specialized agents that hand work to each other, so no single agent has to do everything badly.
What it does
An agent team is a small group of agents, each with one job. One agent drafts. One agent checks the record. One agent files the result. One agent escalates when something looks wrong. They pass work between them the way a real team does, with a clear owner at every step.
We start by mapping the actual workflow, including the parts that happen in email threads and spreadsheets. Then we split that workflow into jobs an agent can do reliably and jobs a person should keep. Each agent gets a narrow scope, a defined input, a defined output, and a rule for when to stop and ask.
The agents run inside the systems you already use. They read from your company brain, write back to your CRM or ticketing tool, and log every action. You see who did what and why. When volume grows, we add agents to the team instead of stretching one agent past what it can handle.
What breaks without it
Without agent teams, you end up with one giant agent holding one giant prompt. It works in the demo. Then a real case arrives with an exception, and the agent guesses.
One-agent setups fail quietly. Nobody can tell which instruction caused the bad output, because every instruction is in the same place. Fixing one behavior breaks another. Over time the team stops trusting the output and goes back to doing the work by hand.
Splitting the work into a team gives you a place to fix things. A bad handoff is traceable to one agent with one job, and that agent can be corrected without touching the rest.
Where it shows up in your operation
- Sales follow-up: one agent watches for stalled deals, one drafts the follow-up in your voice, one updates the CRM record after it sends.
- Document processing: one agent extracts fields from an incoming file, one validates them against the system of record, one routes anything that fails validation to a person.
- Customer operations: one agent triages the inbound ticket, one pulls account history, one drafts the reply, one closes the loop and tags the case.
How it connects
Agent teams do not decide what to work on. The AI Manager routes each task to the right agent and loads the right context first. The knowledge itself comes from the Company Brain, so agents are not guessing from stale or tribal information. Before anything reaches a customer, the AI Judge scores it against your standards. When an output gets rejected, the Improvement Manager turns that miss into a rule or a test, so the same agent does not repeat it next week.