LinkedIn post
Reading an order correctly isn’t the same as processing it reliably.
A correct extraction can still point to the wrong item. Check reading and matching separately.
An AI assistant for specialist consultancies
AI turns your team’s project notes into a campaign: content to publish and outreach messages, reviewed by the people behind the work.
Early access · Test it on one of your projects
42 seconds. Silent illustrative product story. All account activity and content in this film are examples, not captured software or customer results.
Example campaign. AI/data consultancy.
Start with your team's work.
One project debrief. A campaign to build from it.
Technical lead's source: “The model read the order correctly. It matched the wrong catalog item.”
Project note: “Added review for uncertain matches.”
A useful angle. True to the source.
Proposed angle: “Reading and matching need separate checks.”
“Human review when the match is uncertain.”
The technical lead reviews and approves this angle.
Same expertise. Different formats.
“A correct read can still be a wrong match.”
“Check extraction and matching separately.”
“Correct reading. Wrong reference.”
“An uncertain match still needs human review.”
Order automation.
“Read correctly. Matched incorrectly.”
“Two steps. Two different checks.”
To: Operations lead.
Subject: Uncertain catalog matches.
“How will your team review uncertain catalog matches?”
A relevant question. No assumed need.
The message remains a draft for review.
A reply changes the next step.
Example account: a second warehouse has been announced.
Illustrative reply from the operations lead: “Could you explain how you handle uncertain catalog matches?”
The account's two pending steps pause: a manual LinkedIn follow-up to the operations lead and an email introduction to the technical lead.
The founder takes over the conversation. A person decides what resumes.
A useful question. A new draft.
Illustrative comment: “How do you hand a flagged order over when the next shift starts?”
Next angle to test: “Who owns the handover?”
Draft: “Name the owner. Plan the handover.”
The delivery lead reviews the proposed angle. The scene ends with a reviewed draft that is not published.
A comment suggests a test. It does not prove buying intent.
Your team has the expertise. You don't have to write it all.
From project knowledge to a reviewed campaign.
Content. Outreach. Learning. With your team in control.
From project to content
The message and format change with the people you want to reach. Choose the channels that serve your goal.
From the same project experience
Explore the contentLinkedIn post
A correct extraction can still point to the wrong item. Check reading and matching separately.
Fictional example
Fictional example · A consultancy uses what it learned from a project involving customer orders to prepare a campaign.
Showing Technical lead · LinkedIn post.
Extraction is the first step. Matching the right item comes next.
When the match is uncertain, someone needs to review it. Decide who owns that review before launch.
After the content
Decide who writes to each person at a target company, then use the replies to work out what happens next.
Fictional example
The operations lead repliesEmail
Could you explain how you handle uncertain catalog matches?
The other planned messages
Fictional example
A reader asks
How do you hand a flagged order over when the next shift starts?
A first project
Start with a real project and the service you want to promote. We’ll define a first campaign to test the tool with your team.
Material from a project, one expert, and one service offer.
Drafts adapted to the people you want to reach and the chosen channels.
The contacts, the messages to approve, and the responses to examine.
Scope, timing, and price are agreed before work begins.
Their ideas, vocabulary, and examples are the starting point. AI proposes drafts. Each contributor reviews, edits, and approves them before they are used. Style remains a human decision.
No. Choose the channels that suit your audience and offer. The examples show possibilities, not an obligation to publish everywhere.
An illustrated demonstration of the intended workflow, using a fictional case. It is not a recording of the software. We clarify which features can be used and which steps remain manual before the first project.
We agree the scope, timing, responsibilities, and price before work begins. Booking a call does not commit you to starting the project.
Let’s see what your team could make of it.