AI Workflows

Turn repeated AI tasks into reliable workflows.

Use Trigz AI workflows to generate, classify, summarize, enrich, analyze, and route information with review, rules, and measurable outcomes.

Generate contentClassify requestsSummarize conversationsEnrich recordsAnalyze feedbackRoute outputs
1Input
2AI processing
3Review
4Output
5Action
6Analytics

Use AI where repeated knowledge work slows teams down.

Generate

Create product descriptions, titles, summaries, drafts, and structured content.

Classify

Identify intent, topic, priority, sentiment, category, or request type.

Summarize

Turn conversations, tickets, inputs, or notes into concise summaries.

Enrich

Add missing attributes, metadata, tags, or structured fields.

Analyze

Find patterns, feedback themes, sentiment, and improvement opportunities.

Route

Send the output to the right person, system, workflow, or review path.

Examples your team can start with.

Product Description Generator

Generate product copy from product attributes and brand tone.

Open

Support Summary

Summarize customer conversations before human review.

Intent Classification

Classify requests before routing them to the right owner.

Review Analysis

Identify sentiment, themes, complaints, or common questions.

Lead Summary

Summarize lead context for faster follow-up.

Attribute Enrichment

Add structured details to catalog, customer, or workflow records.

How AI workflows work.

1

Input is provided

The workflow starts from text, fields, forms, product data, conversations, or system events.

2

Instructions guide the AI task

The workflow defines what to generate, classify, summarize, or analyze.

3

Output is created

The AI produces structured content, a classification, summary, or enriched data.

4

Review can happen

Human review can be configured before output is used.

5

Output moves forward

The result can be saved, routed, approved, exported, or used by another workflow.

6

Performance is measured

Teams track quality, usage, approval, errors, and outcomes.

What you can configure.

  • Input fields
  • Output format
  • Brand tone
  • Classification labels
  • Review rules
  • Quality criteria
  • Routing logic
  • Success metrics

Ready to turn repeated AI tasks into workflows?

Start with one workflow, review the output, and expand after quality is clear.