Measuring Before Automating: The Key to Proving ROI

A common issue with automation projects is the inability to quantify savings a year after launch because the previous manual method was never measured. [1] Although teams may feel the new system is an improvement over tedious old methods, without a baseline, the benefit is merely assumed rather than proven. [1] Proving the payoff of automation requires measurement to begin before any code is written. [1]

The true costs of manual workflows are often not visible from a high-level perspective. [1] For instance, a task thought to take a day might actually involve three hours of active effort distributed over a week due to organizational latency, such as waiting for approvals or handoffs. [1] Crucial unmonitored costs include rework from errors, delays between process steps, and inconsistencies arising from different individuals performing the task in varied ways. [1] Mapping a process from end to end and quantifying elapsed time, touch time, error rates, and variance often reveals that the actual workflow operates differently than expected. [1]

The necessity of establishing a baseline before automating is a critical step for organizations aiming to achieve and demonstrate a return on investment. By identifying hidden costs such as latency and rework in manual processes, companies can more accurately assess the value of their automation efforts. This approach shifts the perception of improvement from a subjective feeling to an objective metric. What the sources don't address: How organizations should standardize the measurement of these hidden costs across different types of departments or workflows.