Classify incoming issues, ground drafts in approved knowledge, and route uncertain or sensitive cases to the right human owner.
Support automation fails when speed is optimized at the expense of trust. d5s agents can summarize and classify routine work, retrieve approved guidance, and prepare consistent drafts. Low-confidence, sensitive, or out-of-policy cases are escalated instead of being silently answered.
4 ready-made coworkers, each arriving with a persona, standing instructions, a wake-up schedule, and its connectors chosen.
Both work. What changes is how much context a single coworker builds up, and how many separate approvals you give.
One coworker takes on several jobs. Everything it has seen stays with it, so context from last week's work carries into this week's.
Each coworker keeps a narrow scope, its own wake-up schedule, and its own approval boundary. Changing how one works cannot affect the rest.
You are not choosing once. Most customer support teams start with a single coworker and split it later. The usual sign is writing standing instructions that contradict each other, or wanting two different people to sign off on what is currently one coworker's work.
8 systems across this team's agents. Each one reads only the sources it was given.
Each one arrives with a persona, standing instructions, a wake-up schedule, and its connectors chosen. Nothing runs until you add it.
