5 posts tagged with "agents"

The client's customer-service problem did not begin with a model.

It began with a familiar staffing cycle: hire for an entry-level remote CSR role, spend experienced supervisor time on training, discover that the person or the job was a poor fit, and start over. Even when a hire worked out, the team still had to keep routine answers consistent across shifts, people, and systems.

The common failure modes were not mysterious. Attendance and punctuality problems hurt a tightly scheduled call queue. Some new hires underestimated the intensity of back-to-back calls, upset customers, repetitive work, and constant measurement. Others became defensive with frustrated callers, improvised outside policy, missed important details, or left weak documentation for the next person.

The role also required more systems work than "answer the phone" suggests. A representative might need to listen, speak, type, search a knowledge base, inspect a customer record, update a ticket, and follow a policy at the same time. Some hires struggled with that combination. Others repeated mistakes after coaching, worked from unreliable or distracting home environments, wrote unclear follow-up messages, or left a few weeks after training.

The agent prepares the recommendation, and a person approves it.

That sentence is often delivered like an apology. The system is useful, the explanation goes, but it still needs human review. The implication is that review is scaffolding: something tolerated until the model improves enough to remove the person from the loop.

That is the wrong design goal.

The agent calls a search tool, reads a few documents, updates a record, and produces a plausible answer. The steps appear one after another in the terminal. The room gets quiet. For a moment, it feels like the hard part is over.

Then someone asks where their team would click.

Sometimes the right answer is not an agent.

The workflow may be painful. The team may be losing hours to it. A model may even be capable of performing the most visible step. None of that guarantees that an agent is the best first intervention.

A lot of agent work starts by staring at the wrong object: the model call. The prompt, the reasoning trace, the tool call, and the autonomous loop all look like the product because they are the visible trick. They are not nothing. But in a professional setting, they are only one part of the thing someone can actually use.