Draw the job as it really works
We document inputs, sources, owners, fixed rules, variable judgments, outputs and what happens if the result is wrong.
Operations service
AI Product Marketing Operations
Cut the repeated work in product marketing without losing the source, the reviewer or the right to stop.
The job
Automate the repeated work. Keep the judgment visible.
I start with a narrow job and a rough working draft. In n8n, that may be workflow JSON drafted with AI, imported and run on a handful of records. The first failure gives us something concrete to inspect. I fix one thing at a time, then add review, retry and recovery paths before anyone depends on it.
The work
What I will work through.
Automate a small, explicit task
I connect the scoped tools and give AI only tasks with clear context, an expected format and a fallback when it fails.
Put the reviewer in the workflow
Editors and experts see the source, the review status and any exception before they approve, return or stop the work.
Test the ugly cases
Representative inputs, known failures and repeated corrections become tests. Later changes are recorded rather than quietly patched in production.
Good fit
This service usually fits when:
- Research, briefs, launch updates or content are copied between tools and rebuilt for every audience.
- AI drafts take longer to verify and rewrite than they save.
- Nobody can trace an output back to its source, version, decision and reviewer.
Examples
A couple of typical situations.
One product update, three audiences
Your situation
The same product update needs to reach the website, customers and sellers, but each team starts from different raw notes.
What I change
I build one intake and approval record, then adapt the approved information for each scoped audience and channel.
What you leave with
The launch materials agree with one another, require less copying and remain traceable to the original source.
The research brief stops going stale
Your situation
Interview notes, sales calls and competitor findings are summarised separately and go stale almost immediately.
What I change
I give the evidence a common structure, set review triggers and automate the repeated summarising and delivery steps.
What you leave with
A maintained brief that shows its sources, uncertainty, owner and change history.
Automation boundary
What can run automatically, and what needs approval.
Can run automatically
- Extract and structure information from approved sources
- Classify, compare and adapt within defined rules
- Prepare a brief or draft for review
- Flag missing context, exceptions and uncertain results
Needs a person
- What the workflow is for and how good the output must be
- Which sources and uses of data are permitted
- Product, market, editorial and customer-facing choices
- When to change, pause or switch off the workflow
The steps
From scope to handover, in three steps.
- 01
Choose one stubborn job
We pick a recurring job worth fixing and document its sources, outputs, owners, failure modes and quality bar.
- 02
Build the smallest useful version
I connect the tools, keep the source and run history, then test variable steps against real examples and known failures.
- 03
Run it with supervision
The pilot exposes missing exceptions and repeated corrections. I fix those before the workflow is left to run routinely.
- Typical scope
- One repeatable product-marketing workflow with defined sources, outputs, reviews, test cases and tool integrations.
- What your team provides
- A process owner, representative source material, the relevant editors or experts and access to the tools included in the build.
- Usually separate
- New company positioning, replacement of every marketing system, open-ended production, software licences and legal approval performed by Twegs.