AI Global Trade Workflow

Overview

The workflow covers customer research, email handling, technical-document organization, website content and project execution.

It is an experiment in role design, not a claim that every task should be automated.

Problem

Using several AI tools without clear boundaries can duplicate effort and weaken source control.

Trade work mixes research, judgment, customer communication and technical detail; those steps carry different risks.

Approach

Assign tools by task shape: exploration, structured writing, repository work, document processing or verification.

Keep original sources and human checkpoints visible.

Record failures and context limits alongside successful workflows.

What AI Did

AI assists with research structure, draft generation, code changes, document triage and content operations.

Final business decisions, sensitive communication and technical claims remain human responsibilities.

Challenges

Token limits, changing context and tool-specific behavior can create inconsistent outputs.

A workflow that works once is not automatically reliable enough for repeated business use.

Result

The workflow remains an experiment. Individual practices are published only when they can be explained without exposing private data.

Lessons Learned

Tool boundaries, source discipline and review checkpoints matter more than a single impressive prompt.

Failures are part of the operating knowledge and should be documented.