Customer Agent: One Always-On AI Agent per Account to Grow NRR

The Customer Agent is Statisfy’s predict and act agent: one always-on AI agent for every account. It holds the account’s full memory, tracks health in real time, flags risk early and forecasts renewals. It works in three steps, Predict, Generate, Act, and its payoff is NRR: a 2 to 5%+ increase.

Customer Agent, defined: an AI agent assigned to one account. It remembers everything about that account, scores its health continuously, produces the work the account needs, and acts on risk and expansion before a person has to ask.

The Customer Agent's three steps. Predict: health scores, renewal forecasts, expansion signals. Generate: QBR decks, plans, handover docs. Act: customer emails, onboarding, surveys.

Predict: health you can act on

The customer knowledge graph powers real-time health scores, renewal forecasts, expansion signals and next steps. Health is scored across six dimensions: product usage, relationship, outcomes, experience, feature requests and risks. Every score carries its drivers and a written reason, so a CSM sees what changed and why.

The Statisfy portfolio dashboard showing health distribution across every account by week, and the week-over-week movement of declined, unchanged and improved accounts. — Predict: the portfolio view, health across every account and how it moved this week

A Statisfy account flagged Negative, with the six health dimensions each showing a rating, a written reason and a confidence score. — Predict: one account, six health dimensions, each with a rating, a reason and a confidence score

The scores hold up. 87.5% of negative-scored accounts churned within 90 days, 82% of accounts that expanded had scored positive, and CSMs override fewer than 5% of scores. A score without an action is just another dashboard, so each one carries its next step: when a champion has gone dark for 34 days, the agent drafts the exec sponsor outreach and sends it to the CSM.

Generate: finished work, not a summary

Ask in Slack or the Stella chat and the agent pulls from every connected system and returns the finished artefact. A QBR deck that took 3 to 4 hours comes back in 45 seconds. The same pattern covers account plans, handover docs, stakeholder summaries, customer stories and call coaching.

Stella generating a CS-to-AE expansion handoff brief, opened in the side panel next to the chat. — Generate: ask Stella and get the finished artefact back, here an expansion handoff brief

Act: the work lands in the system of record

Some agents run when a CSM asks. Others fire on their own when something changes in the graph: a risk escalation, a renewal reminder, an NPS follow-up with a Salesforce case, a CRM hygiene fix. CS Ops builds and owns these in Agent Studio, with 50+ drag and drop components and no engineering work, and 100+ pre-built agents are live on day one. For more, see the customer success automation playbook.

Agent Studio, the drag and drop workflow builder, showing a Gmail send, a reply listener and a human-in-the-loop approval step. — Act: Agent Studio, where CS Ops builds workflows with approval steps wherever they want them

See the Customer Agent score your own accounts

20 minutes, your own book, no slides. We will show you what it flags and what it drafts.

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Customer Agent vs CSM Twin

The Customer Agent works for the account. The CSM Twin works for the CSM, preps their calls and drafts their replies, and never sends on its own. Together they are the two multi-agent systems in Statisfy’s AI CSP, running on one customer knowledge graph.

	Customer Agent	CSM Twin
Works for	Every account	Every CSM
What it does	Predicts, generates and acts on risk and expansion	Preps calls, drafts follow-ups and replies
Payoff	NRR, 2 to 5%+ increase	Hours saved, 20%+ productivity

Neither is AI CSM, the autonomous product for the long tail that answers and sends on its own.

Frequently asked questions

What is the Customer Agent?

The Customer Agent is Statisfy's predict and act agent: one agent per account, always on. It holds the account's full memory, tracks health in real time, flags risk early and forecasts renewals. It works in three steps, Predict, Generate and Act, and its payoff is NRR, a 2 to 5%+ increase.

What do Predict, Generate and Act mean?

Predict means real-time health scores, renewal forecasts, expansion signals and next steps. Generate means finished artefacts such as QBR decks, account plans, handover docs, stakeholder summaries, customer stories and call coaching. Act means personalized customer emails, onboarding workflows and customer surveys, run by agents your CS Ops team builds in Agent Studio.

How accurate are the Customer Agent's health scores?

87.5% of negative-scored accounts churned within 90 days, 82% of accounts that expanded had scored positive, and CSMs override fewer than 5% of scores. Health is scored across six dimensions, product usage, relationship, outcomes, experience, feature requests and risks, and every score carries its drivers and a recommended next step.

How is the Customer Agent different from the CSM Twin?

The Customer Agent works for the account: it predicts risk and expansion, generates the artefacts and acts on them, and its payoff is NRR. The CSM Twin works for the CSM: it preps calls and drafts work, and its payoff is hours saved. Both run on one customer knowledge graph.

Give every account an agent

Start with a 20 minute walkthrough on your own data and see which accounts it flags first.