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ONE3.ai

CRM & Sales · Module

Customer Success

Onboarding, health scores, playbooks and renewals built from real customer signals

Planned · Year 2 (W3)Sold as: Add-onC-61

Customer Success keeps and grows customers after the deal. It combines structured onboarding, a health score from tickets, invoices, usage and sentiment, playbooks that act on risk, and a renewals pipeline.

After the deal

Winning a customer is the start. Customer Success, planned for Year 2 (Wave 3), gives CSMs a structured way to onboard, monitor, renew and expand accounts on the same records CRM uses.

Customer 360

The account view on the organisation record shows deals, quotes, invoices and payment status, open tickets and SLA breaches, product usage, contacts and roles, health trend and renewals in one place.

Health scores from real signals

The health score is a weighted, configurable set of components: ticket volume and severity, SLA breaches, invoice overdue days, usage trend, NPS and CSAT, engagement recency and champion change. Scores fall into bands with history. Product usage can be ingested through the API, Data Fabric or CSV with account mapping and a freshness target. Churn prediction, trained on the tenant's own history with consent and evaluated before use, is planned for Waves 3–4. Below a data-quality threshold, no prediction is shown.

Playbooks and onboarding

Onboarding plans are created from templates when a deal is won, with customer-facing milestones. Playbooks trigger on a health band change, renewal window, usage drop or champion leaving, and their steps are Actions: tasks, emails, WhatsApp messages, meeting bookings and executive sponsor alerts. Red accounts above a value threshold get a risk escalation with an account review.

Renewals and expansion

Renewal records are created automatically from subscription or contract end dates in Billing and contracts, N days before, as renewal deals in a renewal pipeline with an amount forecast. Renewal quotes use uplift rules through Sales & CPQ. Expansion signals, such as seats near plan limits or new departments engaging, become expansion deal proposals. AI drafts QBR decks from goals, usage, tickets and value delivered for human review before sharing. Churn and downgrade reasons are captured in a structured way.

Features

What Customer Success includes

Customer 360

Deals, quotes, invoices, payment status, tickets, SLA breaches, usage, contacts, health and renewals. W3.

Onboarding plans

Milestone and task templates started on deal won, with customer-facing milestones. W3.

Rules-based health score

Tickets, SLA breaches, overdue invoices, usage, NPS/CSAT, engagement and champion change, with bands and history. W3.

Playbooks

Triggered by health band, renewal window, usage drop or champion change; steps are Actions. W3.

Renewals pipeline

Auto-created renewal deals from subscription or contract end dates, with forecast. W3.

CSM portfolio

Accounts per CSM, tech-touch to high-touch segments and capacity. W3.

Usage data ingestion

API, Data Fabric or CSV with account mapping and freshness target. W3.

Churn prediction

Tenant-trained, evaluated, explained, and hidden below data-quality thresholds. W3–W4.

Expansion signals

Usage near limits, new departments, positive NPS become expansion deal proposals. W3–W4.

QBR generation

Draft QBR decks with sourced figures for human review. W3–W4.

NPS, CSAT and VoC links

Survey responses and themes feed health. W3.

Risk escalation and churn reasons

Sponsor alerts for red accounts; structured churn and downgrade reasons. W3.

Workflow

At-risk account playbook

  1. 1

    Health drops to red after SLA breaches and an overdue invoice.

  2. 2

    A playbook starts with a CSM task and a check-in message draft.

  3. 3

    The account is above the value threshold, so an executive sponsor alert is raised.

  4. 4

    An account review meeting is booked.

  5. 5

    Health recovers or a churn reason is recorded at renewal.

AI

AI skills and Digital Employees

Health score explanation

Plain-language explanation of component contributions.

Churn risk prediction

Advisory prediction on a tenant model, disabled below minimum data.

Playbook step drafts

Emails, WhatsApp messages and meeting agendas; sends are R3.

QBR deck draft

Draft with sourced figures; sharing is a human step.

Expansion deal proposals

Turns expansion signals into proposed deals.

Digital Employees that use this module

They act through the same governed Actions as people; risky steps wait for approval.

Frequently asked questions

Where does the health score data come from?

From tickets in Service Desk, invoices and payment status in Billing, product usage feeds, surveys and engagement on the same customer record.

Will churn prediction work for a small customer base?

Only if there is enough data. Below a data-quality threshold, no prediction is shown.

When is Customer Success planned?

Year 2 (Wave 3), as an add-on to CRM.

See Customer Success in your workflow

Tell us about your team and the outcomes you want. We will walk you through the apps, the Digital Employees and the plan for your industry.