Triage and Resolve Support Cases with AI

Industry: Cross-industry

Domain: Customer Service / Support (Case Triage, Escalation Management, SLA Tracking)

Applications: CRM, Communication, Case Triage, Chatbot, Escalation Management, Google SSO, Knowledge Base, Slack

Replace a fragmented support stack with one case flow

Support work often spans a ticketing system, CRM, knowledge base, Slack, survey tool, and separate reporting. Agents lose time crossing those boundaries, while escalations and customer updates become harder to follow. The Support Triage Control Tower demo connects those stages in one application designed, developed, and deployed autonomously by Vevos AI agents.

From case intake to customer feedback

1. Capture the case. The workflow starts with case intake.
2. Retrieve customer context. The application performs a CRM lookup using only the customer's email address.
3. Analyze the request. AI suggests a category and priority for the case.
4. Use available knowledge. The knowledge base can be fed with write-ups, uploaded documents, or indexed URLs.
5. Escalate when needed. Escalations notify team leads by email and Slack.
6. Close the loop. Customers receive resolution notifications and can provide a five-star CSAT rating.

KPIs, scheduled reports, access management, and an in-app AI assistant support the wider operating environment around the case workflow.

AI assists triage; people remain responsible for the case

The clearly defined AI step is advisory: AI suggests category and priority. The record does not say that AI makes a final routing, escalation, or resolution decision. Support staff can use the suggestion alongside CRM context and knowledge resources, while team leads receive escalations that need their attention.

The in-app AI assistant is included in the demo, but its specific actions are not described. No additional behavior should be inferred.

Connected systems and knowledge sources

• CRM: customer information is looked up from an email address.
• Knowledge base: content can come from write-ups, uploaded documents, and indexed URLs.
• Slack and email: team leads receive escalation notifications through both channels.
• Google SSO: the use case taxonomy includes Google SSO alongside access management.

These touchpoints distinguish this workflow from a stand-alone chatbot: the demo covers the operating path around a support case, including context, triage, escalation, closure, feedback, and reporting.

Exception paths, controls, and operational visibility

Escalation management provides the explicit exception path. Cases that require escalation trigger email and Slack notifications to team leads instead of remaining only with the initial case flow. The source does not define escalation rules or claim that AI chooses when to escalate.

Access management controls who uses the application. KPIs and scheduled reports give teams an operational view, while resolution notifications and CSAT ratings complete the customer-facing loop. The source does not state that a dedicated audit log is present, so audit-trail functionality should not be assumed.

What does the support demo prove in practice?

It shows one working control tower spanning case intake, email-based CRM lookup, AI-suggested category and priority, multi-source knowledge, lead escalation through email and Slack, resolution updates, CSAT, KPIs, reports, and access management.

Explore the support control tower

Open the interactive support triage demo to see how the case workflow brings customer context, AI assistance, knowledge, escalation, and feedback together.

Frequently asked questions

What does AI suggest during triage?

AI analyzes the case and suggests its category and priority.

What does the CRM lookup require?

The demonstrated lookup retrieves CRM context from an email address.

How can the knowledge base be populated?

It can use write-ups, uploaded documents, or indexed URLs.

How are support leads notified of escalations?

The application sends escalation notifications to team leads by email and Slack.