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Function · Operations

Artellis builds a tool that pulls it into one honest status. You know what is blocked before your client asks.

The pain

Why this one is worth fixing

The real status of any job is scattered across five tools and three inboxes. You know something is blocked, but you don’t know what until the client asks. Then you spend an hour finding out.

What Artellis builds

A single honest status pulled from the board, the checklist and the inbox, so you know what’s blocked before the client does.

How it works
  1. 01
    Pulls state from the tools you use
    Board, checklist, shared drive, key email threads, whatever the actual work lives in.
  2. 02
    Reconciles it into one status
    ‘7 of 9 steps complete, 2 waiting on supplier, no blockers on your side.’
  3. 03
    Posts it where your team looks
    Slack / Teams channel, or your ops board, with links back to the source of every claim.
Example artefact
What the output actually looks like.
Client onboarding · Wed 09:00
Auto-status · sources linked
Progress: 7 / 9 steps complete.
Waiting on: Supplier XYZ (parts confirmation) · Customer (final logo asset).
Blockers on us: None. Kickoff still Monday.
You edit and send.
Where it plugs in
Asana / ClickUp / MondaySlack / TeamsGoogle Drive / SharePointYour inbox
Guardrails
  • Human-in-the-loop: nothing sends, signs or spends without you approving it.
  • Your data stays yours, hosted in your tenant or a dedicated Artellis workspace, never used to train public models.
  • Week-one build: something small and useful is live in the first week, before we scope anything bigger.
FAQ
How long until we see something working?
A first working version of the operations tool inside week one. Refinement and rollout happen after you have seen it work against your real inputs.
What do you need from us to start?
About 45 minutes to walk through the current flow, sample inputs (emails, files, screenshots, whatever you actually work from) and one person on your side who owns the outcome.
What happens if the AI gets it wrong?
Every draft goes to a human before it leaves the building. When you correct it, the tool learns your standard so the next one lands closer to right.
Bring us this workflow
One workflow. One week. Something working.