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Outlining the path to value from process optimization

Thierry Kahane, Jan-Malte Prädel, Elion Bufi
Oct 09, 2024
capgemini-invent

A tool-agnostic approach to process optimization helps identify opportunities, quantify value, and enhance processes without dependence on specific tools

Although accelerators to process optimization like automation and artificial intelligence typically catch the eye, our framework focuses on a tool-agnostic approach to opportunity identification, value quantification, and process improvement. With that as the backbone, such tools as process mining, robotic process automation (RPA), and AI can help to rapidly drive value. By following the most effective steps to actionable process transformation, organizations can get the best results from their process improvement framework and chart a path to maximum value.

This blog drills down into our introductory viewpoint on process engineering by highlighting our approach, how to identify the right process improvements, and how to measure value. For more context on process engineering challenges, strategy, potential projects, and adoption, please check out our Introduction to Process Engineering article.

Our high-level approach to process optimization

Process improvement has been an objective for many companies for decades. We follow a cutting-edge, tool-agnostic approach across six major steps:

  • Identify: We analyze root causes, identify (sub) process inefficiencies, and pinpoint high manual effort. This initial identification can occur in a traditional approach through root cause analyses and value identification workshops but can also be bolstered by data-driven process mining analyses. It is critical in this stage to take your potentially long list of ideas and conduct a high-level value assessment and prioritization to zero in on a more actionable short list.
  • Define: We map inefficient process steps, manual effort, and system breaks within the identified process area. Once again, this definition can take a more traditional approach to process performance management and focus on interviews or be streamlined by process mining dashboards and process diagrams.
  • Assess: We quantify and validate the financial impact of identified optimization measured in order to justify the implementation effort. It is critical in this stage to identify: (1) the quantified magnitude of process improvement, (2) the right solution in order to achieve the measured improvement, and (3) the potential cost of implementing the solution. Using the three outputs, we create a business case for the idea.
  • Prioritize: Using simple value and effort levers, we compare created business cases in order to prioritize the ideas and ultimately determine approval of the idea.
  • Implement: Once the idea is approved, we implement the optimization by using the defined solution design.
  • Steer: Following implementation, we monitor the realized value of the solution and compare with the committed value. Additionally, we revisit the adoption plan and sustain value by continuously tracking and reviewing the progress of intended improvements.

Identifying the right process improvement opportunities and high-impact solutions

During our “Identify” to “Assess” phases, we qualify a potential process improvement by employing a proven improvement framework to categorize the type of improvement needed:

  1. Focus on elimination of the activities driving unnecessary work effort (i.e., duplicated processes and rework).
  2. Leverage best practices to implement a standard process across all domains and groups.
  3. Optimize the configuration of backend IT systems (i.e., process gaps leading to users acting outside systems of record).
  4. Non-invasive technology to drive further automation (i.e., making enhancements in existing SAP systems to improve particular processes).
  5. Achieve further benefits realization by applying robotics on top of or replacing existing processes or systems (i.e., RPA bots, OCR/ICR, machine learning, generative AI (Gen AI), etc.).

This framework is intended to build in complexity – a given improvement idea can incorporate one or many of these types of improvements. It is important to analyze the true root causes of process inefficiencies to understand which aspects of process improvement to deploy.

Upon identifying the right categories of improvements needed, it is essential that organizations convert these ideas into tangible solutions. Prior to implementation, we need to consider solution design, potential technologies needed and their architecture, and the overall business case for the solution which will justify its implementation. In the next section, we discuss our approach to measuring value.

Realizing value from process optimization

There are many areas of the organization where process optimization tools can generate major value. While some areas, such as finance and procurement, are well understood, others are starting to get more attention. Moreover, there are several ways to measure value. Many organizations focus on reducing costs, but equally as beneficial is the concept of cost avoidance, where process improvements can lead to reallocation of time to more value-adding activity. As shown below, we simplify the types of value into three buckets: revenue enhancement, expense reduction, and working capital improvement.

Picture2 - Path to Value from Process Engineering

If we take the example of accounts receivable, revenue can be enhanced through additional purchase order (PO) requisition and reduction of bad debt. We can measure this with the affected volume and the estimated percent of improvement.

This value is achieved in two main ways: (1) Spend Reduction and (2) increasing labor productivity:

  • Spend Reduction: If we take the accounts payable example, we can reduce spend by taking advantage of potential cash discounts to lower PO costs. This can be measured by understanding the rate of cash discounts being taken and identifying a percent of improvement to that rate.
  • Increase labor productivity: Examples of this area are vast and varied, ranging from optimization of manual reports to invoice intake. We can measure the value by understanding the overall volume of the process, impact of time saving, and the average full-time equivalent (FTE) cost.

In the procurement example for late deliveries, we can reduce imprecise deliverables to hold less safety stock and prevent late customer payments due to production delays. Although this is not a direct impact to their profit and loss (P&L), earlier payments can make a significant impact to free cash flow through the accumulation of interest.

Kickstarting your journey to process optimization success

In our experience across a wide variety of use cases, it is common for business teams to focus on labor productivity as the main target. It is interesting to note that when analyzing the magnitude of improvement across these value types, we have actually seen a significantly higher potential for value in expense reduction and working capital improvement. Of course, every use case is unique, so it will be important to evaluate all of these levers while creating your business case.

The expected value of successfully improving processes helps to prioritize and sequence the multiple use cases considered. It also facilitates justification of capacity allocation across the different teams that need to come together to deliver this work. And ultimately, it clarifies who in the organization needs to approve and recognize the value to call its realization completed. We have had great success adopting this approach across a variety of business process domains and industries to the tune of multi-million-dollar improvement potential. We identify these improvements rapidly, with a sustained approach to iterate and foster likewise in perpetuity. We encourage you to unlock your process optimization potential by focusing in on your non-value-adding activities and overall process inefficiencies. We have the solidified approach and track record of success to kick start a collaborative journey on your path to value in process optimization.

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Authors

Thierry Kahane

Vice President, Enterprise Transformation, Capgemini Invent
Thierry Kahane is a Vice President in Capgemini Invent’s Enterprise Transformation unit, and the NA leader for the Process Engineering practice. He brings over 25 years of success across industries, building and leading teams in high-growth professional services and SaaS businesses, focused on advising senior executives in large, complex organizations. He specializes in driving value through process engineering, digital transformation, innovation, and AI/ML and analytics solutions.

Jan-Malte Prädel

Director, Process Engineering, Capgemini Invent
Connecting insights from business process analysis and process data mining, Jan-Malte helps organizations to uncover, analyze, and solve business execution gaps. He brings over 15 years of experience in business process and IT consulting in North America and Europe, across diverse sectors and process domains. He specializes in helping organizations build the right programs, teams, and momentum to tackle business challenges in a data-driven way that overcomes resistance towards successful transformation.

Elion Bufi

Managing Consultant, Process Engineering, Capgemini Invent
Elion Bufi has over five years of experience in solving complex business process challenges and helping clients uncover and achieve business value through process optimization and automation across a wide range of industries and process domains. He specializes in realizing business value through data-driven process optimization programs, creation of business cases, process mining and automation operating model design, and the standing up of centers of excellence for process mining, automation, and beyond.