Source record
Give each draft a source, owner, review state, and channel.
Let’s talk Case study / Engineering + content workflow
What did Marketing & AI do for the engineering consultancy? Built a content workflow that carries an expert source through a review sequence to approved public copy — source, shape, approve, publish — with humans keeping the final judgment on every piece.
A privacy-safe view of a technical content workflow. It shows no client data, private dashboard, or result claims; the practical proof is the review path from source to approved public copy.
01 / Public-facing example
This rebuilt view shows a general workflow. It has no client data, private metrics, or hidden system details.
02 / Starting problem
Technical ideas needed a steady path from source to public post. Each draft also needed a clear review step by a subject expert.
03 / Review
These are the questions that shape the work. They are not a disclosure of private findings.
List the source, owner, review step, publish state, and exceptions.
Separate facts from opinion and claims that lack proof.
Find the repeat work in formatting and scheduling.
Set the tasks AI can help with. Keep judgment with a person.
04 / Implemented work
The public reproduction focuses on the decisions a potential client can evaluate.
Give each draft a source, owner, review state, and channel.
Put repeat fields in one format before the team schedules a post.
Use narrow automation for format and timing. Keep final judgment with a person.
05 / What became clearer
06 / Related services
Privacy-safe summary. No client analytics, customer data, private systems, dates, budgets, testimonials, or performance metrics are disclosed.
Next / Review
Bring the goal, the friction, and any evidence you already have. We will begin by deciding what to check first.