AI Automation vs Manual Work: Where the Handoff Should Actually Move
Where the AI-to-human handoff should actually sit in a workflow, using refund and return approval as the worked example.
Tag archive
#workflow automation
How I Would Build a Bookkeeping System That Hides the Ledger
A designed teardown of the coordination layer under Greek bookkeeping: inbox invoices, classification, myDATA transmission, rejections, and the accountant who still signs. A model, not a client build.
How I Would Build a CE Marking System That Keeps a Product File Alive
A designed teardown of the coordination layer under CE marking: product intake, requirement mapping, evidence gap analysis, test coordination, technical file generation, and the engineer who signs. A model from the lab, not a client build.
How I Would Build a Freight Booking System That Hides the Freight
A designed teardown of the coordination layer under freight forwarding: structured intake, carrier rate aggregation, customs documents, booking, and human exception handling. A model from the lab, not a client build.
How I Would Build a Property Due Diligence System
A designed teardown of the coordination layer under property due diligence: property identification, registry retrieval, document extraction, risk assembly, and professional review. A model from the lab, not a client build.
How I Would Build a Public Tender Qualification System
A designed teardown of the coordination layer under public procurement: tender discovery, qualification against capability, requirement extraction, bid assembly, and deadline tracking. A model from the lab, not a client build.
How I Would Build an Elevator Compliance System for a Property Portfolio
A designed teardown of the coordination layer under elevator compliance: asset registration, obligation discovery, a compliance calendar, contractor coordination, and certificate storage. A model from the lab, not a client build.
The Research Loop That Knows When Not to Run
A first-hand teardown of the scheduled research system that runs my own SEO and AI-visibility work: three weekly agents, a pre-spend budget gate, an idempotency guard that refuses to pay twice, and an eight-code exit taxonomy that tells a human what actually happened.
How I Build an AI Sales Follow-Up System Inside a CRM
A first-hand teardown of the sales follow-up loop I build inside a company's CRM: capture, research, draft, human approval, write-back, and supervised improvement. No invented conversion numbers.