Tutorials Prompt Engineering Tutorial
AI Business Workflows — Complete Guide
AI Business Workflows — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of Prompt Engineering Tutorial on Toolliyo Academy.
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Prompt Engineering Tutorial · Lesson 62 of 100
AI Business Workflows
Prompts ✓ → Apps
Apps · 2 — RAG & agents · ~10 min · Module 7: AI Automation
What is this?
Business workflows map departments — sales, support, finance — to trigger → AI step → system update, with KPIs per stage.
Why should you care?
PromptVerse maps customer lifecycle: lead score → demo assign → onboarding checklist generation.
See it live — copy this example
Copy the prompt into ChatGPT, Claude, or your LLM API playground and compare outputs.
lead_created → llm_score(lead) → if score>80: assign_ae("enterprise")
→ llm_draft_outreach(lead, playbook="enterprise")
→ crm_task("call within 24h")
What happened?
- Score routes ownership.
- Draft uses playbook variable in template.
- CRM task closes loop for reps.
Practice next
- Draw swimlane: marketing → AI → sales.
- Define one KPI (time-to-first-touch).
- build score step only first.
- Branch enterprise vs SMB playbooks.
- SLA timer on CRM task node.
Remember
Workflows mirror org process. KPI per stage. Playbooks in prompt vars.
Lead routing
Inbound leads waited 2 days.
Outcome: Score + assign same hour; outreach draft ready.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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