Company AI Brain for Customer Engagement
Guide every customer from onboarding to long-term value.
Connect onboarding, activation, product adoption, education, milestones, retention, re-engagement, referral, and advocacy.
Tell us how you engage customersCompany AI Brain for Customer Engagement
In practice
Full Workflow Examples
End-to-end paths through Customer Engagement, from signal to improvement, with human control where it matters.
- Signal
- Understand
- Recommend
- Approve
- Execute
- Monitor
- Learn
- Improve
01
New customer to activation
- Signal: A new customer begins onboarding after a closed sale, signup, or sales handover.
- Understand: Brain builds a personalised path from the handover context, goals, plan, role, required setup, and incomplete steps.
- Recommend: Proposes guidance, checklist items, check-ins, and when a person should intervene if the customer is blocked.
- Approve: Account owner updates or confirms the onboarding path. Sensitive accounts always need approval for outreach.
- Execute: Sends approved guidance, creates checklists, schedules check-ins, and alerts a person when setup stalls.
- Monitor: Tracks onboarding completion and time to activation.
- Learn: Notes which steps caused the highest drop-off or repeated questions, including gaps left from the sales handover.
- Improve: Adjusts the next similar onboarding path using those friction points, and feeds handover gaps back to Sales when required.
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Adoption to milestone recognition
- Signal: The customer is active and hits a meaningful adoption or usage milestone.
- Understand: Brain reviews product use, education progress, sentiment, and support history.
- Recommend: Suggests milestone recognition, useful education, or whether a human touch should follow.
- Approve: Account owner updates or confirms recognition and any follow-on outreach.
- Execute: Sends approved milestone messages, delivers education, updates records, and prepares referral or advocacy invitations where appropriate.
- Monitor: Tracks response, continued adoption, and whether education was used.
- Learn: Captures which milestones and messages correlated with stronger adoption.
- Improve: Refines milestone triggers and education choices for similar customers.
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Engagement drop to recovery
- Signal: Engagement drops, setup stalls again, or support history looks concerning.
- Understand: Brain connects behaviour, support themes, sentiment, and account context to estimate risk.
- Recommend: Prioritises the account and proposes re-engagement or human outreach with evidence.
- Approve: Account owner updates or confirms recovery outreach. Sensitive or high-risk accounts always route to a person first.
- Execute: Triggers approved re-engagement, creates owner tasks, and requests feedback where appropriate.
- Monitor: Tracks whether recovery actions restore adoption.
- Learn: Groups common drop-off causes and which recovery moves worked.
- Improve: Feeds those patterns into earlier onboarding and adoption prompts.
DetectPrioritiseApproveRe-engageTrackFeed back
Intelligence becomes valuable when it improves what happens next.
The Department Cycle
Know. Decide.
Act. Trust.
Every workflow in Customer Engagement runs through a complete intelligence cycle, from signal to improvement, with human control where it matters.
Know
- Understand each customer's stage
- Organise sales handover context
- Track onboarding progress
- Identify incomplete setup
- Monitor product adoption
- Recognise customer milestones
- Detect reduced engagement
- Connect customer behaviour with support history
- Identify satisfaction and sentiment signals
- Surface potential advocates
Decide
- Recommend the next engagement
- Identify customers needing assistance
- Select appropriate education
- Recommend re-engagement
- Suggest milestone recognition
- Identify expansion or referral opportunities
- Prioritise at-risk customers
- Recommend when human outreach is required
Act
- Send approved onboarding guidance
- Create personalised checklists
- Schedule customer check-ins
- Deliver product education
- Send milestone messages
- Trigger approved re-engagement communication
- Create tasks for account owners
- Update customer records
- Request feedback
- Prepare referral and advocacy invitations
- Monitor completion and response
Trust
- Respect communication preferences
- Avoid inappropriate or excessive messaging
- Require approval for sensitive accounts
- Route sensitive or high-risk outreach to a person first
- Explain why an engagement was triggered
- Show relevant customer evidence
- Protect personal information
- Allow account owners to pause or take control
- Escalate dissatisfaction or unusual risk
Categories only
Systems Connected
- Customer systems
- Product analytics
- Customer communication systems
- Support systems
- Learning and knowledge systems
- Billing systems
- Community systems
- Task systems
- Feedback systems
- Databases