Ending an AI initiative while preserving what was learned

An AI initiative can reach a difficult point: the people involved have learned a great deal, the intended result has not arrived, and the next development phase requires more time. In that situation, I am interested in which decision can be justified today. The work already done deserves an honest assessment. Every further commitment also needs an intelligible purpose.

This guide concerns the decision to continue, pause, redirect or end a workplace initiative. The example is fictional: a pharmaceutical company is developing AI assistance to prepare material for an internal monthly management meeting. It involves organisational preparation using approved information. Ending patient-relevant systems would require additional professional and legal procedures that this article does not describe.

How past expenditure can affect a decision

In their 1985 paper, Arkes and Blumer studied decisions involving costs already incurred. One field experiment analysed 54 buyers of differently discounted theatre subscriptions for the 1982/83 season. Full-price buyers used more tickets in the first half of the season; there was no significant group difference later. Additional questionnaire studies involved students. These historical findings measure neither current executives' behaviour nor the economics of AI projects. [1]

For me, they provide a reason to examine the justification for continuing more closely. “We have already invested so much” describes the history. It leaves open what the next investment should achieve. A decision paper should keep these matters distinguishable, giving recognition of the work and assessment of the next commitment their respective places.

An orderly ending also belongs within responsibility for AI. The voluntary NIST framework, published in January 2023, specifies responsibilities and mechanisms for replacing, disengaging or deactivating systems whose behaviour conflicts with their intended use. This provides a reference for an orderly ending. It is neither empirical validation of the economic decision structure below nor a German legal requirement. [2]

Name the next decision precisely

In the fictional company, the application produces useful summaries. The monthly meeting is still prepared late because departments submit their decisions and unresolved questions shortly beforehand. Development has therefore established something real: summarising can be made easier. Whether this assistance solves the original problem of late preparation remains unresolved.

Give the next decision a clear scope. It might concern another four weeks of an internal development team's time and the addition of an interface. That scope is an assumption for this example. Also identify the authorised decision-maker, the latest decision date and the consequence of deferring. This makes the actual commitment under consideration visible.

Classify costs by their relevance today

Paid development work that cannot be recovered or put to another use remains past expenditure. Knowledge gained, reusable components and agreed rights may still matter to today's options. Future contractual payments, termination consequences, handover work and continuing support also belong in the comparison where they differ between options. The actual agreements must establish which obligations exist.

I would therefore answer the same questions for each option. What additional resources will be committed from now on? What usable result is plausibly attainable with them? Which obligations remain if development ends? What other task would have to wait? These questions require estimates. Keep their uncertainty visible, particularly when apparently precise monetary values depend mainly on untested assumptions.

Describe the value of one more learning cycle

A further trial can be worthwhile if it resolves a decisive uncertainty at an acceptable cost. In this example, the question might be: would the meeting be prepared on time if departments submitted their open decisions earlier in a consistent format? A short, authorised trial of that process could help establish whether the suspected technical cause is actually decisive.

Before granting an extension, the participants should be able to say which observation would change their decision. If every conceivable observation leads to another development phase, the learning cycle has no effective role in the decision. This is my proposed organisational test. It assumes neither a particular probability of success nor a universally applicable financial threshold.

A learning cycle needs an end too. The decision paper names the open question, permitted trial, required resources and subsequent decision. In the example, two rounds of meeting preparation might be enough to begin examining the submission process. This number is an illustrative working assumption. It establishes no robust effect for other departments or periods.

Compare four options using the same criteria

Continuing means the current direction is sufficiently justified for the next bounded commitment. The paper identifies the expected result and remaining assumptions. An unresolved difficulty can be acceptable when there is a clear way to investigate it and its possible consequences have been considered. Continuation should therefore include a further decision point.

Pausing means a specific prerequisite is missing. An organisational decision about submission deadlines might still be outstanding. A pause needs a verifiable trigger for resuming and a person responsible for watching for it. Without these details, the initiative may continue consuming meeting and maintenance resources while nobody addresses its central uncertainty.

Redirecting means the purpose or scope changes for a stated reason. In the example, the summarising assistance could continue as limited support for one department. Its original promise of preparing the entire management meeting earlier would explicitly end. The new use receives its own assessment and owner. A smaller purpose should carry no implicit continuation of the old benefit assumptions.

Ending means discontinuing further development for the existing purpose and arranging a transition. The underlying task still needs an accountable person and an agreed procedure. Existing access, retention requirements, contracts and components that remain in use are handled through the applicable responsibilities. A decision alone does not complete that handover work.

Preserve the learning in a usable form

I would concentrate the closure record on a few questions. Which assumption was tested? What was actually observed? Which explanation remains uncertain? Which documents or components may be reused? What changed condition would make reconsideration worthwhile? This requires neither a success story nor indiscriminate blame.

In the example, the record might state that approved documents could be summarised usefully, while timely preparation depended on earlier departmental contributions. That narrowly described finding can improve the next initiative. Individual confidential meeting contents need not become generally accessible for that purpose. Their continued retention follows the requirements that actually apply.

A useful closure record also identifies the person who can explain the remaining material. A folder without context is difficult to reuse responsibly. A short description of the tested conditions, known gaps and permitted next use gives a future team a starting point. If circumstances later change, that team can revisit the original question without pretending the earlier attempt answered more than it did.

A sound decision to end an initiative makes clear what stops, what remains useful and who manages the handover. It recognises defensible findings and identifies open questions. For me, this capability belongs to the entrepreneurial work of adopting AI: being able to reassign time and attention to an undertaking whose next step has a convincing justification.