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Omnichannel Support

Woes treats live chat, email, Discord, and Slack as channels on one support model. A conversation can come from any supported channel, but operators still triage it from the same inbox, convert it into issues, attach customer context, and use AI agent evidence from the same knowledge base. Channel pages own setup, delivery checks, and channel-agent selection details. This page focuses on the shared support workflow after a message enters Woes.

How Channels Work Together

Every supported channel can share:
  • Conversation status, priority, assignee, tags, and notes.
  • Customer and account context.
  • AI handling state and operator takeover.
  • Issue creation for work that must be tracked outside the conversation.
  • Analytics and survey reporting.
1

Connect channels

Start with the chat widget, then add email, Discord, or Slack if those are active support surfaces.
2

Route work

Use assignment settings, tags, statuses, and priorities to keep the inbox predictable.
3

Let agents answer when grounded

Attach the right knowledge sources to each agent and let Woes answer only when context is strong enough.
4

Escalate durable work into issues

Convert bugs, requests, customer blockers, and follow-up tasks into Issues.
5

Measure the loop

Use Analytics and Surveys to see which channels resolve quickly and where customers still need help.

Operating Principles

  • Keep the customer in one thread whenever possible.
  • Use internal notes for operator-only context.
  • Create issues when work needs ownership beyond a chat reply.
  • Use tags and custom fields consistently so analytics stay useful.
  • Review low-confidence agent replies and improve the knowledge base.

What Woes Does Not Do Automatically

Woes does not merge unrelated people across channels just because their message content is similar. Customer identity should come from stable account data, email addresses, verified widget identity, or portal access. Woes also does not expose provider/model internals to customers. AI routing is a platform concern; operators should focus on answer quality, source coverage, and handoff behavior.
Last modified on July 4, 2026