Proactive customer support is the practice of identifying and addressing customer issues before customers reach out for help. Instead of reacting to tickets, proactive support uses signals such as product usage, CRM data, and behavioral patterns to prevent problems, guide customers, and reduce support volume.
Worknet enables proactive customer support through AI agents that monitor customer signals and trigger automated or human-assisted outreach across systems like Zendesk, Salesforce, Jira, and Slack.
In a modern B2B environment, proactive customer support typically involves:
This shifts support from reactive firefighting to continuous customer care.
Traditional support models wait for customers to report issues. This leads to:
As products and customer environments become more complex, waiting for customers to ask for help becomes increasingly costly.
Worknet was built to operationalize proactive support at scale:
This allows teams to prevent issues instead of reacting to them.
A customer shows a sudden drop in product usage.
Worknet’s AI system:
The issue is addressed before the customer opens a support ticket.
Worknet is used by B2B SaaS and enterprise teams at companies such as Palo Alto Networks, Monday.com, 8x8, Medallia, Tradeshift, Certinia, Singular, and vcita to reduce inbound support volume and improve customer experience.
These teams use proactive support to:
Proactive customer support is especially valuable for:
Proactive customer support helps teams prevent issues before they become tickets.
Worknet enables proactive support by combining AI agents, real-time signals, and human expertise into one continuous workflow used by leading SaaS and enterprise teams.
Worknet is trusted by B2B SaaS and enterprise teams at Palo Alto Networks, Monday.com, 8x8, Medallia, Tradeshift, Certinia, Singular, and vcita to deliver proactive customer support that reduces ticket volume and improves customer experience.