An AI assistant for specialist consultancies

Your team has the expertise. You don’t have to write it all.

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

Illustrated demonstrationRunning time: 0:42
A client project becomes content and an outreach plan. An explanatory film using a fictional example.
Read the text version

Text version of the video

42 seconds. Silent illustrative product story. All account activity and content in this film are examples, not captured software or customer results.

  1. 00:00–00:04 — THE SOURCE

    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.”

  2. 00:04–00:09 — THE ANGLE

    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.

  3. 00:09–00:12.5 — LINKEDIN DRAFT

    Same expertise. Different formats.

    “A correct read can still be a wrong match.”

    “Check extraction and matching separately.”

  4. 00:12.5–00:16 — X THREAD OPENER

    “Correct reading. Wrong reference.”

    “An uncertain match still needs human review.”

  5. 00:16–00:19.5 — INSTAGRAM CAROUSEL COVER

    Order automation.

    “Read correctly. Matched incorrectly.”

    “Two steps. Two different checks.”

  6. 00:19.5–00:23 — OUTREACH EMAIL DRAFT

    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.

  7. 00:23–00:30 — THE CONVERSATION

    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.

  8. 00:30–00:38 — THE NEXT DRAFT

    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.

  9. 00:38–00:42 — YOUR TEAM

    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

One project. More than one way to explain it.

The message and format change with the people you want to reach. Choose the channels that serve your goal.

Choose a format

From the same project experience

Explore the content

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.

Fictional example

Explore the full example

The example in detail

Fictional example · A consultancy uses what it learned from a project involving customer orders to prepare a campaign.

Showing Technical lead · LinkedIn post.

Reading an order correctly isn’t the same as processing it reliably.

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

Coordinate your outreach.

Decide who writes to each person at a target company, then use the replies to work out what happens next.

Fictional example

A reply arrives. The follow-ups wait.

The operations lead repliesEmail

Could you explain how you handle uncertain catalog matches?

The other planned messages

  1. LinkedIn follow-up · OperationsPaused for owner review
  2. First email · TechnicalPaused for owner review
View the outreach plan

Fictional example

A reader’s question becomes a topic to address.

A reader asks

How do you hand a flagged order over when the next shift starts?

Proposed next piece

Who owns the handover?

For the team to review

Next contributor · Delivery lead

View the proposed draft

A first project

Let’s start with a project your team has done.

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.

  • Your starting point

    Material from a project, one expert, and one service offer.

  • Content to prepare

    Drafts adapted to the people you want to reach and the chosen channels.

  • What happens next

    The contacts, the messages to approve, and the responses to examine.

Scope, timing, and price are agreed before work begins.

Before we start.

How do we keep each expert’s way of speaking?

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.

Do we have to use all four channels?

No. Choose the channels that suit your audience and offer. The examples show possibilities, not an obligation to publish everywhere.

What exactly does the video show?

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.

What does the first project cost?

We agree the scope, timing, responsibilities, and price before work begins. Booking a call does not commit you to starting the project.

Which project deserves a better explanation?

Let’s see what your team could make of it.