Powered by

# Automating Tech Support with Agentic AI Workflows - Powered by Purple Fabric

- Tarun Shah | Data Engineer

Imagine this: A new support email lands in your inbox at support.ai@company.com. Normally, a support engineer would read it, categorize it, open a JIRA ticket, dig through logs, check past issues, and then craft a response.

But what if an Agentic AI Workflow, orchestrated and governed through Purple Fabric, could handle this end-to-end — with minimal or even zero human intervention?

That’s exactly what this architecture enables.

# Why Purple Fabric for Support Automation?

Traditional automation scripts can patch together IMAP → JIRA → Logs, but they break fast, lack governance, and don’t scale.

Purple Fabric changes that by providing:

  • A visual multi-agent workflow canvas to orchestrate these steps
  • Digital Experts (agents) with RAG, ReAct, NL tools, or custom API skills
  • Custom Tools for seamless integration with IMAP, JIRA, log query systems
  • Enterprise governance, traceability & audit logs
  • LLM Optimization Hub for choosing cost-efficient, high-accuracy models
  • Security & compliance (critical for support workflows touching production logs)

This transforms your automation into an enterprise-grade, reliable, explainable AI system.

#

#

#

# Step-by-Step Workflow (with Purple Fabric mapped in)

# Step 0: Prerequisites (Configured as Purple Fabric Tools)

In Purple Fabric, these become Custom Tools that agents can call safely:

  • IMAP/Webhook → Email Ingestion Tool
  • JIRA API → Atlassian Service Tool
  • Logs/Monitoring API → Log Query Tool
  • Knowledge → Enterprise Knowledge Garden (for RAG)

These are centrally governed via the platform’s Enterprise Governance layer.

# Step 1: Workflow Trigger - IMAP Service (Purple Fabric Flow Designer)

The moment a new email arrives:

  • A workflow trigger fires in Purple Fabric's Flow Designer
  • The email (subject, body, metadata) becomes structured input into the agent pipeline
  • Every execution is logged for audit & replay

No cron jobs. No polling scripts. Full traceability.

# Step 2: AI Classifier Expert (Automation RAG Agent)

Built using Purple Fabric’s Digital Expert Studio, this RAG agent:

  • Reads & understands the email
  • Classifies it into categories:
    • Engineering
    • UI/UX
    • AI/ML
    • Miscellaneous
  • If insufficient details → triggers a Follow-up Email Agent to ask for more information
  • Routing decisions happen through the Agent Orchestration Layer (ReAct pattern)

This ensures every incoming request is triaged with consistent reasoning.

# Step 3: JIRA Agent (Atlassian Tool via Purple Fabric)

The JIRA Expert Agent:

  • Creates a new ticket using the Atlassian Custom Tool
  • Auto-populates title, description, and metadata
  • Assigns it to the correct team’s SPOC
  • Updates status → In Progress
  • Adds structured context for engineers
  • The entire interaction is auditable in Purple Fabric’s governance logs

This alone removes 30–40% of manual triage effort.

#

#

#

#

#

#

#

# Step 4: Logs Analysis Agent (Automation ReAct)

Using Purple Fabric’s ReAct-powered agent + custom log query tool:

  • Fetches distributed logs, traces, or monitoring alerts
  • Scans for errors, exceptions, or anomalies
  • Summarizes findings in human-readable form
  • Flags patterns previously seen in similar incidents

All ReAct “thought steps” are internally traceable (for compliance) but not exposed publicly.

# Step 4.1: RAG Analysis Agent (Knowledge Garden)

If logs indicate an issue:

  • The RAG Expert taps into historical fixes, solution docs, and past ticket resolutions
  • Generates a clean, accurate, contextual explanation of:
    • Root cause
    • Possible fix
    • Impact
    • Recommended next steps
  • Anchors everything in verified internal knowledge sources, reducing hallucination risk

Knowledge ingestion, indexing, and updating is handled by Purple Fabric’s Enterprise Knowledge Garden.

# Step 5: JIRA Update Agent

Before engineers even look at the issue:

  • A fully formed analysis is added to the JIRA ticket
  • Status updates to → Analysis Done
  • The agent attaches logs, summaries, and recommended actions
  • SPOCs now get a ready-to-start ticket with rich context

Purple Fabric governance logs record:

  • Which agent made changes
  • What tools were called
  • What data was used

Perfect for audits, compliance, and debugging.

# Why This Matters (Especially with Purple Fabric)

# Massive Time Savings

Support engineers skip triage entirely and start directly with action.

# Structured, Consistent Workflow

Every ticket follows the exact same process — no variance, no missed steps.

# Fully Automated Loop

Email → Classification → JIRA → Logs → RAG → JIRA Update
All orchestrated through Purple Fabric's flow engine.

# Better Collaboration

Teams receive context-rich tickets, complete with pre-analysis, without back-and-forth emails.

# Enterprise Governance

Audit trails, access control, LLM monitoring, and compliance built-in.

# Optimized Costs

Using Purple Fabric’s LLM Optimization Hub, you can route:

  • Cheap models for classification
  • Mid-tier models for RAG
  • Stronger models for ReAct reasoning

Reducing cost per ticket dramatically.

# Final Thought

Agentic AI workflows can transform support operations — but only when paired with the right platform.

With Purple Fabric, you get:
✔ Enterprise-grade multi-agent orchestration
✔ RAG + ReAct experts
✔ Secure tool integrations
✔ Governance, traceability, and auditability
✔ Optimized model selection

Together, they enable fully automated support, from email intake to analysis and ticket updates.