Challenge
Service businesses often know AI could help, but their workflows are undocumented, repetitive, and difficult to prioritize for automation.
Case study
AI Workflow Automation Engagement
A business-first automation engagement for mapping manual workflows and implementing practical AI-supported systems.
Approach
- Assessed repetitive workflows, bottlenecks, handoffs, data readiness, and business impact.
- Aligned automation opportunities to effort, risk, readiness, and measurable outcomes.
- Defined the 4A AI Efficiency Method: Assess, Align, Automate, Adopt.
Outputs
- AI Workflow Readiness Map
- Automation roadmap
- SOP/user guide and team adoption plan
- Discovery-call and offer positioning
Relevance to AI Solutions & Customer Experience
Demonstrates the ability to identify high-value automation opportunities, translate business workflows into AI-enabled solutions, assess implementation risk and readiness, and support adoption through documentation and enablement.