What follows is the mechanism in each case: what starts the workflow, what the agent does, where it stops, and what the team that used to run it by hand does now. All three came out of the same four-stage engagement.
Front desk, service business
Inbound calls arrive at all hours and most of them are booking, rescheduling, cancellation or a billing question. Before deployment, calls outside business hours went to voicemail and were worked the next morning, by which point a share of callers had already booked elsewhere.
The agent answers on the second ring, works the existing phone line, calendar and billing system, and completes the booking or the change in the system of record. Anything outside its policy, including disputes and anything touching a refund above the written threshold, routes to a person with the call summary and account history attached.
What changed for the team: the morning no longer starts with a voicemail queue. The front desk works exceptions, which is the part that needed a person all along. The front desk pattern in general.
Order intake and quoting, distribution
Orders arrive as email attachments in inconsistent formats. Someone read each one, matched every line to a part number, priced it, and keyed it into the ERP. The work is high volume, entirely mechanical, and errors in it are expensive downstream.
The agent reads the order, matches and prices each line against the catalog, and stages the result. Lines it can match cleanly go through. A line whose part number is not in the catalog is held and surfaced for a person, with the original text alongside the closest candidates. Nothing writes to the ERP until it is approved.
The design decision that mattered: the agent flags uncertainty instead of guessing. An agent that quietly picks the nearest part number is worse than no agent, because the error surfaces after the order ships. Where support agents break covers the same failure in a different workflow.
Statement reconciliation, finance operations
Statements arrive monthly and have to be matched against the record before anything posts. Matching is rules-driven and tedious, and the exceptions are where the money is.
The agent matches each statement against the record and stages the clean ones to post. Anything where the value moved more than expected is held for a look, with the comparison shown. Nothing is written until a person approves, which is the correct boundary for a workflow that moves money.
What the three have in common
- The agent stops at the money
- In all three, the checkpoint sits immediately before an irreversible action: a refund, an ERP write, a posting. That boundary was set before launch.
- Uncertainty is surfaced, never resolved silently
- Each system has an explicit "held for a look" state. Agents that lack one look better in a demo and cost more in production.
- The team kept its software
- No migration in any of the three. Each agent runs against the phone system, ERP or accounting tool that was already there. Whether we could do the same on your stack is what a discovery call establishes.
Keep reading
Agents
What our agents do
The agent patterns that hold up in production: front desk, revenue operations, support, and back office. What each takes over and where each breaks.
Approach
How we work
Audit, build, deploy, then operate. What each stage produces, how long it takes, and what your team is on the hook for at each point.
Last updated August 12, 2026. Questions this page did not answer go to team@agentintegrator.io, or start with the audit.
