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Articles / Rationalise

Deciding when to reduce or replace AI

Review the result, count the full operating cost, and decide what to keep, narrow, migrate, replace, or retire.

B12Y Consulting / 15 February 2026 / 3 min read

In this article

  • 01Establish what the system achieves
  • 02Count the cost of keeping and changing it
  • 03Choose an outcome that matches the evidence
  • 04Give the decision an owner and an end point
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A document-processing system produces an answer for every file, but staff still check every answer. The review needs to establish whether it saves work once corrections, maintenance, and operating costs are included.

Establish what the system achieves

Start with the outcome that justified the system. For document processing, that might be less manual entry, faster turnaround, or fewer errors. Compare current performance with the previous process or another credible baseline.

Observe the work around the system. A reviewer may check only a few fields, or may repeat the entire task because the output is difficult to trust. Those situations have different costs. Measure review time, correction rates, exceptions, and delays instead of assuming every generated answer saves effort.

Identify who uses the output and which processes depend on it. A weak component may still perform an essential hand-off. Replacing or retiring it requires a plan for that dependency.

Count the cost of keeping and changing it

Record inference, hosting, licences, maintenance, evaluation, and human review. Include work that sits outside the technical team's budget, such as staff correcting records or answering complaints.

Keep unresolved risks visible alongside expenditure. Sensitive data handling, weak access controls, and poorly tested decisions may require remediation even when the current operating bill is small. Record the issue and required action rather than inventing a monetary value for uncertain harm.

Compare the current system with a narrower scope, another model or supplier, conventional software, and a manual process where appropriate. Include migration, retraining, and transition requirements. A cheaper replacement may be a poor choice if it cannot support the existing workflow.

Choose an outcome that matches the evidence

Decision When it fits What the change involves
Keep and invest The system provides value and has a viable operating scope Address specific gaps in evaluation, monitoring, or support
Narrow Results are dependable for only part of the workload Route unsupported cases to another process
Migrate The design works but the model or supplier no longer fits Test a replacement and plan the transition
Replace Another approach meets the requirement more effectively Rebuild the necessary function and move dependencies
Retire The benefit does not justify continued operation Close access and data flows, and transfer any remaining work

For the document system, narrowing might mean accepting output only for a well-tested document type and sending other files to manual handling. That decision needs evidence that the supported cases can be identified and processed reliably.

Migration asks a different question: whether another implementation can preserve the useful function. Compare it on representative work before committing to the switch.

Give the decision an owner and an end point

The review should produce an agreed decision for each system, the evidence behind it, an owner, and a sequence of changes. Define how the team will confirm the intended result.

For retirement, reroute dependent processes, check that the replacement workflow has capacity, and close credentials, integrations, and scheduled jobs. Handle retained data according to the applicable policy. A system is still an operating responsibility while any of those paths remain active.

For systems that continue, maintain a short record of purpose, owner, cost, measured performance, and next review. That record makes it easier to revisit a decision when workloads, suppliers, or requirements change.

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