AI Compass
Compass

Choosing tools

From the task to the tool rather than the reverse: which questions drive the choice and which criteria actually decide.

·2 min read·By Redaktion KI-Kompass
DETAIL
2 sections

The order

  1. 01

    Name the task

    Frequent, checkable, with a baseline. Without this step every criterion is missing.

  2. 02

    Derive the requirements

    Which kinds of data, which integrations, which output form, which review steps.

  3. 03

    Assess two or three candidates

    On your own evaluation set, not on a demo.

  4. 04

    Settle contract and exit

    Before deciding, not after rolling out.

The criteria, by weight

CriterionWhy it counts
Fit to the taskA tool with no task does not get used
Data processingProcessing agreement, locations, sub-processors, training exclusion
Connection to your sourcesWithout retrieval there are no verifiable answers
Permissions and tenant separationWho sees what, technically enforced
LoggingWhat the tool records itself and can export
Output formStructured output as soon as anything is processed further
Model changesAnnounced, or silent
ExitExport of your content, notice period, format
PriceLast, because it is meaningless without the points above

What belongs in the tender

  • Processing locations and a full sub-processor list, with notice of changes.
  • Exclusion of any use of inputs and outputs for training, technically evidenced.
  • A duty to announce model changes, with a notice period.
  • Statements on accuracy, limits and foreseeable misuse; at high risk, instructions for use.
  • Export format and period for your own content after the contract ends.
  • Logs: what is recorded, for how long, and whether it is exportable.
  • Inspection rights beyond producing a certificate.

Buy, build or integrate

RouteWhen sensibleCost
Finished toolStandard task, no special needfast, less control
Your own application on an APIYour data, your workflowmoderate effort, full control of the flow
Local modelData may not leavehighest effort, full control

The middle row is underestimated. A lean application over an API is often built in days, binds your own sources, and logs exactly what is needed.

Exit as a criterion

  • Can prompts, templates and your own content be exported, in a readable format?
  • Do logs stay available after the contract ends, for as long as the retention period runs?
  • Is there a rehearsed fallback path, for instance to a local model?
  • How long does a switch realistically take, measured rather than estimated?

The last point deserves being played through once. A fallback that exists only on paper is not one in an emergency. See Local and open models.

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Choosing tools