Sample case studies
How automation solves real operational work
The three case studies below are sample frameworks showing how I approach a problem, design a solution, and choose tools. They are placeholders and will be replaced with verified client outcomes as projects are completed.
Sample content
Three illustrative case frameworks
Each card shows the problem, solution, expected result framework, and tools. Placeholder: replace with verified outcomes when available.
Sample case study 01
Invoice and order data entry
Problem: Staff re-typed order details from emails into accounting software, causing delays and errors. Solution: An AI workflow that extracts order fields, validates them, and posts to the system with error logging. Result: [Placeholder: time saved to be verified]. Tools: Make, OpenAI API, Google Sheets.
Sample case study 02
Lead capture and CRM routing
Problem: Website inquiries sat unassigned in inboxes for hours. Solution: An automation that captures form leads, enriches them, scores them, and routes them into the CRM with a follow-up task. Result: [Placeholder: response time to be verified]. Tools: Zapier, HubSpot, webhooks.
Sample case study 03
Customer support triage assistant
Problem: Support requests were manually sorted by topic, slowing first replies. Solution: An AI assistant classifies incoming messages, drafts replies for review, and escalates edge cases with logging. Result: [Placeholder: reduction in handling time to be verified]. Tools: n8n, OpenAI API, Slack.
Have an operational challenge in mind?
Share the repetitive work you want to reduce. We will scope the workflow, the tools, and the next steps in a free consultation.