MonoSpear Insights | Success Stories | 10 min read Every digital transformation project begins with the same problem: too many manual processes standing between decision-makers and the information they need to make timely, accurate choices. People spend hours re-keying data from one system to another, chasing approvals through email, and reconciling spreadsheets that should have been automated years ago. The opportunity cost of these delays is significant, with every hour spent on manual data entry representing an hour that could have been spent on higher-value work requiring human judgment. This article describes the general approach MonoSpear typically uses to help enterprises transition from manual processes to intelligent workflows.
Identifying the Real Bottlenecks
The first step in any transformation initiative is a process audit to understand where manual interventions, data re-keying, or approval delays are costing the enterprise time and accuracy. This step is often overlooked or rushed, as enterprises have limited time and resources to devote to transformation initiatives. However, a thorough process audit is critical to transformation success, as it enables the project team to identify the processes that will have the most significant impact on the enterprise’s operations if automated. It is common for enterprises to incorrectly identify their most critical processes as those that consume the most resources. While resource consumption is an essential consideration, processes that impose the largest opportunity cost on the enterprise should be prioritized during the transformation project. This could include steps that waste substantial amounts of time for highly skilled workers or create quality control risks for high-value transactions.
Once the processes that will be automated are identified, the next step is to design the intelligent workflows that will replace them. This typically involves integrating disparate systems to enable end-to-end automation, eliminating the need for manual data entry or approval between systems. However, it is essential to recognize that re-engineering processes around integrated systems often requires rethinking the workflow design. Many processes that have been standardized through years of incremental improvements were not initially designed to be fully automated, and simply accelerating an inefficient process can yield only limited benefits.
When designing intelligent workflows, it is helpful to consider how processes would be designed if systems could communicate directly with one another without human intervention.
This perspective often reveals opportunities to streamline the workflow by eliminating redundant steps that were necessary before automation was possible. For example, some processes contain secondary or tertiary approvals that add little value to the workflow but consume significant time. These approvals can often be eliminated when designing intelligent workflows, particularly if they were implemented as a response to specific issues that no longer exist after automation is introduced. Finally, when sequencing the transformation project, it is essential to recognize that large automation projects with extensive system integration can generate substantial momentum within the organization. Enterprises should avoid trying to automate an entire process at once, as this can be both technically and organizationally challenging. Instead, transformation project teams should prioritize the creation of intelligent workflows that deliver demonstrable value to the enterprise while laying the foundation for future stages of the project.
Measuring What Changed
Most enterprises that embark on a digital transformation project expect to see reductions in cycle time, increases in quality, and improvements in staff productivity as a result of the initiative. These outcomes should be measured and compared to a baseline established at the beginning of the project to demonstrate the value delivered by the transformation effort. Establishing the baseline is often an overlooked step in the process, as enterprises are eager to move forward with the transformation project. However, it is critical to recognize the value of an accurate baseline, as it will be necessary to quantify the benefits of the transformation effort to enterprise stakeholders.
Cycle time reductions are often the easiest transformation outcome to identify and communicate, as they typically involve comparing a clearly defined start and end point in the workflow. However, it is also important to consider quality improvements, such as reductions in errors or exceptions, when communicating the benefits of the transformation project. Many enterprises find that error rate reductions are the most compelling transformation outcome, particularly when the process involves high-value transactions or is subject to regulatory compliance requirements. The increase in staff productivity resulting from a digital transformation project can be the most challenging transformation outcome to communicate, as it often requires significant context to fully understand the implications. Enterprises should consider presenting this information in terms of the opportunity cost of the time saved by implementing intelligent workflows. For example, if a process automation solution has reduced the time spent on a particular task by 50%, the enterprise can highlight the value of the time that has been redirected to other, more valuable activities
Sustaining Momentum Beyond the First Win
Many enterprises find that their transformation initiatives generate substantial momentum during the early stages before encountering resistance as they attempt to scale their initial successes. This issue can often be addressed by recognizing that digital transformation is not a one-time project but rather an ongoing initiative that requires continuous improvement efforts. This perspective should be embedded in the transformation project design to ensure that enterprises can continue to realize value from their automation initiatives long after the initial project is completed.
One way to embed this perspective in the transformation project is to ensure that the enterprise has the internal capabilities to identify its next bottleneck following the initial automation efforts. This could involve teaching enterprise stakeholders how to conduct a process audit similar to the one performed by the transformation project team. Another option is to schedule periodic process audit reviews to identify new areas for automation opportunities
The MonoSpear Approach to Transformation
MonoSpear’s transformation methodology is designed to help enterprises achieve significant process improvements by identifying and automating their most critical manual bottlenecks. This approach emphasizes the importance of conducting a thorough process audit to inform the transformation project, as the value of any automation solution is directly linked to the opportunity cost of the process being automated.
The MonoSpear methodology also focuses on sequencing intelligent workflow design to ensure that the transformation project generates early momentum for the enterprise. By designing the solution around integrated systems, transformation project teams can eliminate the need for manual data entry or approvals between disparate systems, achieving substantial process improvements that resonate with enterprise stakeholders.
FAQs
1. How does a digital transformation project typically begin?
It usually begins with a detailed process audit to understand where manual bottlenecks and inefficiencies are located within the enterprise’s current processes.
2. What does it mean to transition to “intelligent workflows”?
It means redesigning processes so that they are fully automated and integrated, eliminating the need for manual data entry or approvals between disparate systems.
3. How is the success of a transformation initiative typically measured?
It is typically measured in terms of reduced cycle time, increased quality, and improved staff productivity, with the latter two often being compared to a baseline established at the beginning of the project.
4. Can MonoSpear share specific client results?
MonoSpear is happy to discuss specific client results, where appropriate, on a case-by-case basis.