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.
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.
OpenSupport 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.
Input is provided
The workflow starts from text, fields, forms, product data, conversations, or system events.
Instructions guide the AI task
The workflow defines what to generate, classify, summarize, or analyze.
Output is created
The AI produces structured content, a classification, summary, or enriched data.
Review can happen
Human review can be configured before output is used.
Output moves forward
The result can be saved, routed, approved, exported, or used by another workflow.
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
Recommended templates.
Ready to turn repeated AI tasks into workflows?
Start with one workflow, review the output, and expand after quality is clear.
