The adoption of new technology should focus on demonstrable process optimization, assessed through a risk-based approach aligned with strategic objectives. An initial step is to conduct a pilot test before full-scale implementation, measuring key indicators such as response times, error rates, and user behavior compared to historical data. The impact should be analyzed using a combined approach: quantitative data (performance indicators, audits, pre- and post-implementation comparisons) and qualitative insights (feedback). The adoption of technology must be justified by improvements in efficiency, scalability, security, and user experience. In the absence of these verifiable advancements, its implementation would lack justification.

Once the new tech is introduced we will have a new process or better approach for an old process In both cases a good testing exercise offers a baseline to be compared with past results and a step for continuous improvement. How to make those tests ? Indeed we started from an user story and a requirements list on those pillars we can understand how much the change fit the purpose and if a technical debt has been accumulated or remains after the introduction of

Risk-based approach and Gap analysis based on the vision, strategic, and tactical objectives of an organization. The effectiveness of technology is key Otherwise it's just noise.

I usually start with a pilot test rather than flipping a switch on the whole system. I roll out the new tech to a small segment and track key metrics like load times, error rates, and overall user behavior compared to our established baselines. At the same time, I chat with my team to get their real-time impressions and sometimes the numbers don’t tell the whole story. This blend of quantitative data and qualitative feedback lets me adjust quickly and confidently expand the integration once I’m sure it’s making a positive impact.