Introducing the Agent: an autonomous night shift for revenue
Balances, failed payments, and expansion signals don't wait for business hours. Now neither does Kribana.
Every SaaS company running usage-based billing hits the same 2 a.m. story: a wallet ran dry mid-batch job, a card expired the morning of renewal, an account quietly tripled its usage — and nobody noticed until the invoice landed. The signal was always in the data. Nobody was watching it at 2 a.m.
The insight that shaped it
We kept trying to solve this with better dashboards and better alerts. Dashboards need someone to look at them. Alerts need someone to act on them fast enough to matter. Neither happens reliably at 2 a.m. on a Saturday.
“The agent isn't a smarter dashboard. It's the thing that used to require a human to be awake.”
What it actually does
The agent runs on the same metering, wallet, and invoicing rails Kribana already operates—not a bolted-on integration reading a stale replica. It watches every account continuously and runs one of six playbooks the moment a signal crosses a threshold: top up a wallet, retry a failed charge with the right timing for the failure reason, flag a churn risk, draft an expansion offer, warn a customer before bill shock, or track a commit that's running under.
Autonomy with a leash
We didn't want to ship something that acts and disappears. Every playbook has three modes — autopilot, approve-first, or alert-only — set independently, and every action the agent takes lands in an audit log with the signal that triggered it and what it recovered. We recommend starting alert-only on the riskier playbooks and graduating to autopilot once you trust the pattern.
Because the agent reads the decline reason instead of guessing, most of that recovery work never needs a human to touch the case at all. That's not a better retry schedule — that's a different category of outcome.