When reality changes, business rules need to change too

During a period of extreme heat, an employee at a Quebec factory could not sleep because of the heat. Since he was already awake, he asked whether he could work during the night instead.

The request was practical, but unexpected. The existing time-tracking rule assumed normal daytime operations and prevented the employee from recording the proposed schedule.

When the system was deployed, the factory normally operated during the day. Encoding that schedule helped keep time entries consistent and prevented situations that should genuinely be reviewed.

The rule reflected the operation as it existed then. The problem was not poor design or a software bug. Reality had introduced a legitimate exception that the original rule did not cover.

Weather changes. Schedules change. Customer commitments and staffing constraints change. A business rule that protected the process yesterday can become an obstacle when the conditions around it change.

The choice should not be between rejecting a reasonable operational response and asking employees to create a workaround outside the system.

The scheduling rule was reviewed to understand why it existed and what safeguards still mattered. It was then adjusted and tested against the relevant time-tracking scenarios.

Even though the change was implemented quickly, the revised business rule was still validated in the development environment before being deployed to production. Moving quickly did not mean bypassing the checks that protect the operation.

This kind of change still requires judgment and verification. The advantage was that much of the application logic lived at the business-rule level in DAZZM Studio, rather than being buried across deeply hard-coded workflows. That made the change faster to implement than it would typically be in traditional custom development.

The technology is not the main story. The useful outcome was that the system could follow a reasonable change in how the business needed to operate.

Generic SaaS often asks a company to stay inside the vendor’s assumptions. Rigid custom software can create a different version of the same problem when every exception requires changes across several layers. Operational software built around explicit business rules gives an SMB a more practical way to adapt without treating every real-world exception as a new software project.

Business rules should create consistency, but they should not freeze yesterday’s operating conditions in place.

For an SMB, adaptability means being able to examine a rule, preserve the controls that still matter, and change the part that no longer fits. Extreme heat made this example visible. The same principle applies whenever schedules, responsibilities, policies, or customer requirements change.