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Workflow playbooks for AI delivery teams.

This page is the use-case and template hub. Watch demo now opens a real screenshot walkthrough until a product recording is available.

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Explore templates

Browse starter workflows with triggers, AI actions, approval gates, integrations and expected outputs.

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For enterprise buyers or agencies that need to discuss a real workflow, rollout constraints and pilot scope.

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For AI service providers

AI agency client delivery

Agencies can sell repeatable workflows without rebuilding hosting, logs, cost controls and handoff dashboards for every client.

Pilot to production
1
Package the client use case

Turn a pilot prompt chain into a workflow with triggers, approval steps and run logs.

2
Deploy with controls

Set a credit budget, keep risky actions behind review and make each run auditable.

3
Operate after handoff

Monitor latency, errors, outputs and usage without asking the client to build internal tooling.

Typical integrations
WebhookCRMSlackEmailShared credits
For operations teams

Customer support triage

Support teams need AI to classify and draft responses, but refunds, account actions and policy exceptions still require human control.

Lower review load
1
Read the incoming ticket

Classify intent, urgency and customer history before routing.

2
Draft or escalate

Low-risk replies can be drafted immediately; sensitive actions pause for approval.

3
Log every decision

Store prompt, output, reviewer action, cost and final response for audit.

Typical integrations
HelpdeskPolicy docsCRMApproval inboxSlack
For technical operations

Fintech operations review

Teams need AI assistance on document-heavy workflows while preserving review trails, cost visibility and permission boundaries.

Auditable automation
1
Extract and summarize

AI prepares a structured review packet from submitted documents and internal rules.

2
Route exceptions

Unclear or high-risk cases go to a human reviewer instead of auto-completing.

3
Monitor usage

Track model cost, latency, errors and completion status for each workflow run.

Typical integrations
Document storePolicy rulesDatabaseReviewer queueAlerts
Templates

Start with a complete workflow shape.

These templates are deliberately lightweight: they explain the operating path before Frugine has a full public template marketplace.

Customer support triage

Trigger
A new support ticket arrives.
AI step
Classify intent, summarize history and draft a response.
Approval
Refunds, policy exceptions and account changes pause for review.
Output
Reply draft, route label, cost log and reviewer trail.
HelpdeskCRMSlack

Refund approval

Trigger
A refund request is created in CRM.
AI step
Read policy, customer value and previous refund history.
Approval
Refunds above $500 require a human decision.
Output
Approved action, rejected reason or escalation packet.
CRMPolicy docsEmail

Lead qualification

Trigger
A new inbound form or meeting note is submitted.
AI step
Score fit, extract needs and draft the next action.
Approval
Enterprise or unclear leads route to sales review.
Output
Lead score, CRM update and follow-up draft.
FormsCRMCalendar

Document intake

Trigger
A customer uploads an application or packet.
AI step
Summarize files, extract missing fields and compare policy rules.
Approval
Incomplete or high-risk packets go to an operations queue.
Output
Review packet, missing-item checklist and audit log.
StorageDatabaseReviewer queue

Fintech ops review

Trigger
A transaction, case or compliance review is opened.
AI step
Prepare a structured summary from internal records and documents.
Approval
High-risk cases must be approved before any customer action.
Output
Decision memo, reviewer status and usage record.
DatabaseAlertsPolicy rules

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