Customer support

Resolve the question. Preserve the relationship.

Give customers answers grounded in your knowledge and actions connected to your systems. When a conversation needs judgment, hand it to a person with the issue, attempted steps, and customer context intact.

THE OUTCOME

Useful self-service with a clear path to a human.

Example support resolutionProduct preview

Answers with a source. Memory with boundaries.

QuestionWhere is my replacement order?
EvidenceOrder record and delivery policy
OutcomeExplain status or escalate the exception
Understand issueRetrieve and actConfirm resolution
Illustrative product previewVagary Voice
01

Answer from your knowledge

Connect support content and retrieve the material relevant to the customer’s actual question.

  • Knowledge-base ingestion
  • Hybrid retrieval and citations
  • Notion, Drive, and Confluence loaders
02

Move the issue forward

Use approved tools to look up a record, capture missing details, and create or update a support case.

  • Custom API actions
  • Zendesk and Intercom connections
  • Structured issue summaries
03

Escalate with the story

Keep sensitive decisions and exceptions with your team, carrying the conversation into the handoff.

  • Warm transfer
  • Cross-call customer context
  • Human-in-the-loop controls
THE WORKFLOW

From a conversation
to a completed task.

Connect the steps that make the outcome possible.

  1. 01

    Choose a support boundary

    Start with a clear issue family, trusted knowledge sources, and an explicit list of actions the agent may take.

  2. 02

    Connect the service workflow

    Publish to phone, web, or chat. Link customer lookup and ticketing tools, then test resolution and escalation paths.

  3. 03

    Improve from real conversations

    Inspect resolution outcomes, repeat contacts, transfer quality, satisfaction, and cost per resolved issue. Turn failure cases into regression tests.

PUT IT TO WORK

Make it useful
in your business.

Start with a specific conversation, connect the right systems, and define what a successful outcome looks like.

01

Account and order questions

02

Product troubleshooting

03

After-hours support

04

Multilingual service desks

A CLOSER LOOK

Useful questions.
Straight answers.

Discuss your requirements
How does the agent handle missing knowledge?

Set confidence thresholds and escalation behavior. Route unanswered questions to your team, then use conversation review to identify the material your knowledge base needs.

Can it change customer records?

Yes, through connected tools within the permissions and approval rules you define. Keep consequential decisions behind an appropriate human approval step.

Which metric should we optimize first?

Use successful resolution with acceptable customer experience. Containment alone can hide repeat contacts or frustrated callers, so inspect those outcomes together.

MAKE YOUR NEXT CONVERSATION COUNT

Give every conversation
somewhere better to go.

Start with one agent. Build an operation around what works.