AI automation readiness checklist
What to prepare before building AI into support, sales, operations, or internal knowledge workflows.
- Workflow inventory
- Data source access
- Escalation rules
- Success metrics
Resources
Practical Guides for AI Automation Projects
A service-led resource hub for teams planning AI agents, document AI, workflow automation, WhatsApp AI, and internal operations systems.
Guides
Topics That Help Buyers Understand What We Build
These resource blocks are written around implementation decisions, not generic AI hype.
AI agents vs chatbots
How specialized AI agents differ from scripted bots, and when an agent is worth building.
- Live data access
- RAG context
- Action-taking tools
- Confidence thresholds
Document AI and RAG planning
How to turn SOPs, policies, PDFs, manuals, and help center content into grounded AI answers.
- Source quality
- Chunking strategy
- Citations
- Knowledge updates
WhatsApp AI implementation guide
Where WhatsApp fits into support, sales qualification, order updates, and cart recovery.
- Opt-in flow
- Templates
- Human handoff
- Channel routing
Workflow automation map
How to identify repetitive business processes that are ready for AI-assisted automation.
- Trigger events
- API actions
- Retries
- Audit logs
Internal operations AI questions
Examples of operational questions your staff-facing AI system can answer from business data.
- Inventory questions
- Support trends
- Revenue summaries
- Fulfillment exceptions
How To Use This
Start With Workflow Clarity
The best AI projects start with a concrete operational bottleneck and clear success criteria.
1
List repeated work
Capture the support questions, reports, follow-ups, and internal tasks your team repeats every week.
2
Identify system access
Note which tools hold the data: Shopify, helpdesk, CRM, ERP, documents, spreadsheets, or messaging channels.
3
Define escalation rules
Decide when AI should answer, when it should ask for more context, and when a human should take over.
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