Practical guide

Five AI automation pitfalls

The objective is to recognise common architecture and operating failures before the pilot. The review baseline covers process clarity, data quality, idempotency, approval and monitoring.

WERKVERSTAND / CONNECTING INTELLIGENCE

The essential answer

Before the pilot, check five foundations: process clarity, data quality, idempotency, approval and monitoring. Each needs a visible failure response and an accountable decision-maker. A convincing demo initially shows a sequence; operational readiness needs additional evidence.

01 / FIT

A good fit when

  • Goal, scope and domain accountability are explicit.
  • The review baseline is available: process clarity, data quality, idempotency, approval and monitoring.
  • The pilot review contains concrete evidence for clear inputs, sufficient data quality, safe retries, effective approval and detectable failures. Each unresolved gap receives an owner.

02 / LIMITS

Not the first choice when

  • Avoid: treating an impressive demo as production readiness. One successful demo example does not establish that poor data, duplicate execution or missing approval will be handled in operation.
  • There is neither safe test data nor a manual fallback.
  • A product demo is expected to replace domain acceptance.

Describe the workflow through inputs and outputs

The work assignment is to recognise common architecture and operating failures before the pilot. Define purpose, owner and permitted operating boundary before the first test.

The domain review baseline covers process clarity, data quality, idempotency, approval and monitoring. Assumptions and missing information remain visible in the result.

Run a controlled pilot

  • Describe the process with unambiguous inputs and outputs and check data quality using an example.
  • Examine retries and duplicate inputs for possible repeated effects.
  • Test missing or refused approval and review the manual fallback.
  • Trigger a failure and check whether monitoring and the responsible person can identify it traceably.

Review results and failure handling

The pilot review contains concrete evidence for clear inputs, sufficient data quality, safe retries, effective approval and detectable failures. Each unresolved gap receives an owner.

Avoid: treating an impressive demo as production readiness. One successful demo example does not establish that poor data, duplicate execution or missing approval will be handled in operation.

Decision matrix

Decision pointProceed whenStop when
Assignment boundaryDocumented: process clarity, data quality, idempotency, approval and monitoring.Scope, data or accountability remains unresolved.
Workflow evidenceThe pilot review contains concrete evidence for clear inputs, sufficient data quality, safe retries, effective approval and detectable failures. Each unresolved gap receives an owner.There is only an unevaluated demo without acceptance evidence.
Operational controlOwner, approval, fallback and next review date are defined.Avoid: treating an impressive demo as production readiness. One successful demo example does not establish that poor data, duplicate execution or missing approval will be handled in operation.

Keep it verifiable

Primary sources

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