Wiring the agent into your live data

The agent is only as good as the streams it senses. Every trigger must read from live product-usage data, the events table, the billing system, the CRM, not a static export somebody refreshes when they remember. A trigger computed off a stale snapshot fires on yesterday's account and erodes trust the first time it is wrong. If the data has a backend home, the agent reads it from there, full stop.

Concretely, each trigger is a query that runs on a schedule or on an event: when an account crosses 80% of provisioned seats, when API consumption passes 90% of plan, when a distinct-team count goes from one to three. The proven automation shape is well documented. At the threshold, raise an in-app notification to the user, send the account owner an email with the upgrade options, and create a task in the CRM for the human to follow up with the personalised case. The agent orchestrates that fan-out; it does not reinvent it per account.

If you cannot answer "how many teams are live in this account" from your own data, that is the first build, not a reason to skip the trigger. Capability is enabled, not absent: the seat count, the feature-usage event, the milestone flag are each one instrumentation away. The expansion engine is downstream of the telemetry, so the telemetry gets built first. The onboarding funnel and the activation events are usually already half-instrumented for product analytics; the agent just reads the same streams with a different question.

Wiring is not one-directional. Every offer the agent fires, and every outcome, won, lost, ignored, has to write back so the readiness score keeps learning which signals actually convert for your product. An agent that fires triggers but never sees the result is a stopped clock that happens to be right sometimes. The loop is sense, score, offer, observe the real outcome, re-weight, and it only compounds if the last two steps are wired as carefully as the first three. This agent is one organ in the larger system described in the agent-native growth machine.