A check-in that happens
before the account goes quiet

The role today

Account health usually lives in several places at once, usage logs, a CRM note, a support ticket history, a billing record, and nobody has the time to cross-reference all four for every account every week. The accounts that get attention tend to be the ones making noise, which means a quiet account sliding toward churn can go unnoticed until the renewal conversation itself, by which point there is little room left to fix anything.

What the agent takes over

The agent pulls usage, support and billing signals into one health score per account and updates it continuously rather than at the quarterly review. It runs the predictable outreach moments on its own, a welcome check-in after onboarding, a mid-cycle nudge if a key feature was never adopted, a pre-renewal touch with enough lead time to actually act, using playbooks your team wrote for the common situations.

When a score drops in a way that matches a known risk pattern, a long gap in logins, a support ticket that went unresolved, a seat count that shrank, it notifies the account’s success manager immediately with the specific signal behind the flag, not just a number. The agent tracks every renewal date on a timeline visible to the team, so a renewal never arrives as a surprise because someone forgot to look at the calendar.

The health score is built from your business’s own patterns rather than a generic SaaS benchmark, since healthy usage for a daily-use product looks nothing like healthy usage for a tool run once a month for reporting. Onboarding check-ins reference what the account actually set up versus what a typical successful account sets up in the same period, turning a vague how’s-it-going message into a specific, useful nudge. Success managers also get a simple way to mark a flag as noise, a seasonal dip that is not really risk, which trains the model to stop raising that pattern for similar accounts going forward.

What stays with humans

The actual retention conversation, any pricing or contract discussion, and the judgment call on which at-risk accounts need a personal call versus an automated nudge stay with your success managers. Your team builds and owns the outreach playbooks; the agent runs them, it does not write new strategy mid-conversation.

Guards

Every health score shows the specific signals behind it, never just a number, so a manager can check the agent’s reasoning before acting on it. Outreach follows pre-approved playbooks only; anything outside them is flagged for a person to write by hand. The scoring model is backtested against real historical churn before launch and reviewed monthly after, and a manager can silence or override any flag. The agent’s outreach cadence respects a do-not-overcontact rule, so an account already mid-conversation with its manager about one issue does not also receive an unrelated automated check-in the same week, which in practice is one of the faster ways a success program starts to feel robotic to the people receiving it.

Price and timeline

“Agency runs it” keeps the agent on our infrastructure with a monthly support plan covering tuning and monitoring. “Full control, handover-ready” delivers the agent on your own servers and accounts with documentation, source and credentials, so your team can run and change it without us; it costs more up front because the handover package, your-infra deployment and internal documentation are built in from day one.

Related

See the AI agents overview for how we build and guard these systems, and Analytics for the services that often pair with this one. Inside the agents catalogue: Churn prevention agent, VIP client agent, Subscription management agent. For a narrower, single-process version of this work, see Churn alerts, Subscription renewal reminders in the automations catalogue. For how the same guard patterns held up on real systems: Analytics hub with AI analyst in Telegram.

Want this running for your team? Get in touch and tell us where the messages pile up.