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Interventions

Can this intervention really be closed?

Close too early and you lose a follow-up still due. Close too late and it buries the ones that matter. Kohentra tells you when every condition is met.

Example situation
What lands in your queue
What you are shown

Closure proposed, a reasoned case for keeping it open, or a request for a human check when the data is not enough to decide.

The reasoning, at a glance

  1. Intervention still open
  2. Every planned line is in the past
  3. No pending invoicing stands in the way
  4. Closure proposed, with its evidence
  5. You decide

The problem

A file left open just in case ends up buried among hundreds of others and hides the ones that matter. Closed too early, it loses track of something still expected: an invoice, a future line, related work.

What Kohentra looks at

The intervention lines and their dates, the closing deadlines set for your business, conclusions already reached by other agents (invoicing judged consistent, for instance) and the objects linked to the same file.

What Kohentra does

Kohentra spots interventions whose work looks finished but whose administrative closure never came: watched during a grace period, then flagged for closure beyond the threshold. It also gathers the conclusions already reached, so the same situation is neither re-analysed endlessly nor contradicted.

Expertise involved

The closure agent proposes a closure only when every planned line is in the past and no invoicing result stands against it.

What you are shown

Closure proposed, a reasoned case for keeping it open, or a request for a human check when the data is not enough to decide.

What you decide

Closing remains your decision, in Dolibarr. Neither Kohentra nor the agent closes the intervention for you.

Why you can check it

The proposal relies on the dates observed and, when there is one, on the invoicing agent’s result. Never on an assumption.

Other questions Kohentra settles

Every situation comes with its evidence.

See how Kohentra turns your Dolibarr history into a short queue of explained situations.