A nearby map point has not yet answered the dispatch question

I approved the distance rule because it appeared transparent. A colleague could understand why one workshop appeared above another:it was closer to the recorded location. There was no elaborate model to explain and no hidden score to defend. In our controlled review, that clarity turned out to be narrower than the working decision. The nearest point could be across a divided road or require an access route the calculation had not considered. We had made the geometry intelligible without establishing that it was a sufficient basis for the recommendation.

Ask which question the distance answers

A straight-line measure is not inherently wrong. It answers a defined spatial question. The problem arises when a service view lets that answer inherit a broader meaning, such as the most appropriate partner to consider for a real assignment. Road context, availability, technical capability and the actual service conditions are different matters. Some belong in the supporting information;others require the judgement of qualified operating owners. A CIO should help make those relationships clear rather than treat the availability of a simple calculation as proof that the enterprise has found the right decision rule.

Our 2022 exercise examined sixty controlled scenarios. Forty-nine initial rankings were supported by the operating review and eleven required further work. These were test cases, not a report of sixty live emergencies or a measurement of actual response times. The distinction matters because an operating context gives a technology example its relevance without granting permission to exaggerate its result. The review showed that a familiar recommendation could be unsupported under the examined conditions. It did not establish how often the same issue occurred across every service the company coordinated.

The applications lead proposed retaining the ranking with a general caution. Experienced dispatch colleagues already understood many roads, he argued, and a more involved system would add cost and dependencies. I thought that was a serious alternative. A technology team should not assume that every useful piece of operating judgement needs to become a new automated feature. Yet a broad caution can also leave the user repeatedly correcting the same known limitation while the most prominent part of the screen continues to suggest confidence. We needed to examine where better context would help and where a decision should remain explicitly human.

Give the operating objection a place in acceptance

Arun's concern was that the list reached a service colleague before its assumptions did. I supported a nine-week programme costing₹47 lakh to work through the relevant context with operating owners. We did not set out to automate safe dispatch or to certify a route. The task was to produce a more useful recommendation under defined conditions and to identify the scenarios that still required further operating judgement. That boundary prevented an improvement to the system from becoming an unsupported claim that technology now held the responsibility for the whole assignment.

Acceptance had to include the reason a ranking was useful, not just whether it appeared promptly. A test could confirm that the application sorted values correctly while leaving the original weakness untouched. We therefore needed operating colleagues to explain the conditions they considered relevant and the evidence that would support the recommendation. Their participation was not an invitation to make the software imitate every experienced person's instinct. It was a way to distinguish a justified common rule from a situation in which the enterprise should preserve uncertainty and identify who must decide next.

That approach cost more than adding a sentence of caution. It also made the recommendation less uniform. Some scenarios could be supported through the revised context, while others remained held. I accepted those consequences because the apparent simplicity of the old list was partly created by excluding the question that made it difficult. A service colleague should not have to infer that omission from experience each time. At the same time, we needed to avoid presenting a complicated screen as a substitute for a clear account of the actual operating responsibility.

Eight of the eleven unsupported scenarios were resolved through the programme. Three remained for operating judgement, leaving fifty-seven supported cases in the original sixty. I retained that arithmetic and its scope in the report. The result was not a live response improvement, a claim that every listed partner could undertake the work or evidence that all future road conditions would be represented. It described how the recommendation performed against the defined review. The qualified owners still had to assess the actual service and circumstances before authorising an assignment.

Explain the three cases that remain held

A held case can be useful information. It tells the receiving colleague that the system has reached the limit of its supported account. That is different from a silent failure or an arbitrary refusal to help. The usefulness depends on whether the reason and next responsible owner are clear. I wanted the application team to explain the unresolved condition without inventing a plausible answer merely to complete the list. We should be able to improve a recommendation and still say where the operating question remains open.

My own approval mattered to the review. It would have been easy to describe the distance rule as something the development team had implemented incorrectly. They had implemented the simplification I supported. The management mistake was allowing a transparent technical measure to become the apparent answer to a more complex service decision. Acknowledging that changed the discussion. We could examine the acceptance criteria and the role of operating knowledge rather than search for a coding error that would make the executive decision look sound.

A board can use this example to ask how management validates significant recommendations. What real decision does the result support? Who supplied the acceptance conditions? Which responsibilities remain outside the model, and how are they communicated? Those questions do not require directors to select a mapping method or decide an individual route. They help the board understand whether a technology programme has earned the meaning attached to its result. A clear output may still be incomplete evidence for the claim an investment paper invites directors to accept.

I would involve dispatch colleagues before choosing the next ranking rule. Their knowledge should inform the problem definition rather than arrive only when a finished interface is demonstrated. I would also ask the project sponsor to state what would count as a legitimate unresolved result. That makes room for a recommendation whose limits are visible from the beginning. The closest map point can be a useful fact. Its value grows when the system helps a responsible person understand what that fact answers and what it has not yet decided.