Cases

What AI automation workflows can we deliver?

These are common deliverable patterns. The actual implementation depends on your industry, existing tools, data permissions, and team habits.

Case overview

Each case leaves something that can be reviewed, handed off, and maintained

Case 00 · Ads

For teams running Facebook or Instagram ads but unsure which clicks become qualified leads.

Deliverables: Ad setup review, website CTA review, GA4 and Pixel event check, UTM review, and lead handoff recommendations.
Metrics: Response speed, adoption, error rate, review effort, and time saved.

Case 01 · Support

For ecommerce, clinics, courses, consultants, and service businesses where repeated LINE questions consume team time.

Deliverables: FAQ knowledge base, reply draft rules, forbidden answer list, human review workflow, and testing checklist.
Metrics: Response speed, adoption, error rate, review effort, and time saved.

Case 02 · n8n

For B2B services and high-ticket offers where form submissions need fast qualification and handoff.

Deliverables: Need summary, scoring rules, routing conditions, LINE or Email alerts, and CRM field mapping.
Metrics: Response speed, adoption, error rate, review effort, and time saved.

Case 03 · Knowledge base

For teams with many files, fast onboarding needs, or scattered internal rules.

Deliverables: Document inventory, source rules, search entry point, permission boundaries, and maintenance workflow.
Metrics: Response speed, adoption, error rate, review effort, and time saved.

Case 04 · Reporting

For ecommerce, retail, advertising, and operations teams that spend time preparing weekly reports.

Deliverables: Data field specs, summary template, anomaly rules, manager alerts, and items-to-check lists.
Metrics: Response speed, adoption, error rate, review effort, and time saved.

Case 05 · Marketing

For brands and service businesses that need consistent content without losing review quality.

Deliverables: Topic list, article structure, brand voice rules, restricted wording, and review workflow.
Metrics: Response speed, adoption, error rate, review effort, and time saved.

Case 06 · Training

For companies where people already use AI but methods are scattered.

Deliverables: Department scenarios, reusable templates, data rules, output checklists, and adoption roadmap.
Metrics: Response speed, adoption, error rate, review effort, and time saved.

Evaluate your workflow

Share your industry, current tools, and the work you want to save time on.