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Why do those wins sometimes slip away in the Control phase? There are various reasons why solution to improved process slip away in the Control Phase. Here are some: 1. Thinking that identifying a solution is enough. Oftentimes, organization and project team missed to establish controls to sustain and ensure consistency of the injected solution. Testing of impact and feasibility of the solution is missed, only to find out that local staff implementing the solution on their day-to-day task find it difficult to sustain. 2. Poor communication of intended changes. Formal handover of improved process to its process owner/local management is essential, more importantly to its local staffs who will deal with day-to-day work where improvement took place. A better understanding of what was the problem and why improvement was made must be clear and aligned with the local team. Buy-in and ownership of local team is vital to sustain the solution. This means making them involve from the start and all throughout the project’s phase. 3. Inadequate training in new condition. Lack of enablement of local management and staff who’ll be implementing the solution and who’ll be using it daily will surely make successful implementation fail. Conducting training and enabling local staff before full implementation of solution will provide knowledge, familiarity, build confidence, and likely ensure success of implementation. Adequate training puts the local staff in a controlled environment where learning curve is monitored and supervised. Under scrutiny, old behaviors will be guided and replaced with new intended behavior tied up with the change throughout the training process. Local management’s involvement in training brings alignment, trust, and confidence with local staffs. 4. New process not captured in written procedure. Procedure provides guide and clarity to the doers. It should contain the process details, working sequence broken down into elements, with hints and tips how to perform an activity or task. Updated written procedure of the improved process is an essential supplement to the enablement of local staff and management alike. Procedure should be crafted in such a way not bounded to misinterpretation in order to avoid human error. 5. No monitoring to check that solution is working as intended. Local management’s involvement in the handover of the improved process is essential. Management oversight alongside with tools and best practices such as Control Plan, Process Control Chart, Gemba Kaizen, and process audit should be understood and taught to them by the project team. Having a KPI metric that shows process performance where improvement was made is of equal importance for sustainable management oversight. What tools or techniques do you rely on to keep things on track and make sure the improvement sticks for good? Handover process management is crucial to sustain the successful process improvement in long term. Process documentation such as to-be process flow chart, training & enablement plan, process aids/visual references, control plan, process control chart, updated procedure, FMEA (whenever applicable), and implementation plan should form part of the handover process to local management. This is a structured way to provide clarity on how the improved process works and how it should be monitored to sustain the gain of its financial and non-financial benefits. Lastly, involvement of process improvement team or at least its leader in KPI monitoring and random process audit for the next three to six months upon handover is another key on sustainability of the improvement made.

I think this question is quite similar to the question previously asked and that is "how do you keep an AI agent output relevant and up-to-date while depending on having humans-in-the-loop as a significant part of keeping continuous improvements information up-to-date?" I'm paraphrasing what I remember that question to be. The importance of an AI Solutions Architect isn't that we merely create targeted, robust, reliable, predictable, sustainable, scalable, etc... AI solutions and that have been designed through a rigorous, thoughtful, intentional, and successfully proven design process, but we are also, and I think most importantly, stewards and overseers that AI isn't running so autonomously that we have released our responsibility over what AI "does for us". In other words, we are trusting and thinking AI doesn't need human intervention because we say it's smarter, faster, better as what humans can do. This is a completely and wholly improper perspective to have of AI. Therefore, the ultimate "tool" is really us staying engaged and by implementing ways to help US monitor that the AI solution stays true to it's design intent. I'm not an expert at knowing or leveraging these tools because I'm not formally trained in them, but they certainly make sense to me as I read about them, in keeping AI solutions "on track". They make sense because I have implemented these tools in overseeing projects and business intelligence platforms, just not knowing their professional labels. Here are some tools and techniques I have found, without their explanations, because I know you are the MBB expert that will recognize and understand what they are and their applications. Control Plans, Statistical Process Control (SPC), Poka-Yoke (mistake proofing), standard operating procedures (SOPs), training and continuous education, visual management tools, audits and reviews, response and reaction plans, process ownership and accountability, leader standard work, regular communication, and continuous improvement culture (Kaizen).

Possible root causes for lapse in control phase Employee or workers resistance to Change: Lack of buy in from production team, Staff, if they find the new update or process difficult or confusing may revert to old habits, Insufficient periodic dip checks or audits: Without regular evaluation of a improved step or process, it is difficult to catch non adherence and the processes start reverting to previous, less efficient states. Inadequate Training: employees may not have had adequate training to adapt fully to new systems, which in turn might lead to improper use that negates expected improvement in the output Shift of business focus: Over time, changes in company strategy, customer expectations, or market conditions can render initial improvements less effective. Lack of executive level Support: Lack of technical or managerial support and disinterest can cause the momentum brought by the change to reduce drastically. Tools and Techniques to Maintain Improvements Smart Automated Tools: Implement tools that automate parts of the system to minimize human dependency and ensure consistency. For example, using AI-driven systems for intelligent call routing based on live data analytics. Recreate Framework and deploy updated SOPs: Documenting the new processes in detail, including any new workflows and best practices, helps ensure everyone is on the same page. Periodic Review and Audits: Regular management reviews like weekly business review and process audits can help maintain focus on the importance of the new process or method of working, ensuring it remains aligned with strategic objectives. Continuous Refresher Courses: Share the benefits and positive impact of the change on the business outcome Continuous training helps reinforce the importance of the new tools or processes and ensure staff remain proficient in its use. Motivates the staff to imbibe change VOB use to have a Balanced scorecard and revise Metrics and Dashboards: imbibe the efforts metrics of changed or updated process, Implement metrics to continuously measure performance against key performance indicators (KPIs) like average handle time and customer satisfaction rates. Dashboards can provide real-time insights to assist in making proactive adjustments. VOC and VOE: Once a change or improvement is implemented, we should regularly gather feedback from both customers and employees to identify areas for further improvement and address minor issues before they become major problems. Example Suppose a contact centre introduced a new call distribution system that reduced average call wait times from 10 minutes to 2 minutes. A smart use of AI agent project is run and implemented for automated categorization of query type by a Bot or IVR before the call reaches a live agent, Initially, this was a significant improvement, but over time, wait times began creeping back up. Upon analysis, it was discovered that: Impact from New Agents: Incoming staff were not being adequately trained on the new system due to high turnover rates and hurry in implementation. Lack of involvement of training department in live projects resulting in new agents being unaware of the changed or improved process System Updates: Regular updates that could enhance system efficiency were not being utilized due to a lack of technical support. To address these issues, the contact center: Implemented a mentorship program, pairing new employees with seasoned agents to ensure smooth transitions. Scheduled monthly system reviews to incorporate and evaluate new updates. Developed a dashboard allowing real-time tracking of call metrics, providing instant feedback to operators. In a Nutshell By implementing these strategies and tools, contact centres can better maintain improvements gained from new routing systems in Control Phase, adapt to changes proactively, and ensure customer satisfaction remains high. Keeping systems resilient against backsliding requires constant vigilance and adaptation to the changing environment.

Swapnil has provided the best answer to this question. Answers from Jess and Mark also deserve a special mention. Both are a must read.

Let us see the reasons as why those wins (as stated in the question) sometimes slip away in the Control phase Generic Reasons (this answers why any process can loose its sheen after an improvement is done): 1. We need to understand the fact that every process that has got an improvement will have two aspects – short term sigma (Zst) and long term sigma (Zlt). Often, we tend to miss this reality that there would be a process variation in the longer run and that, this is inevitable unless we consciously make an effort to adjust/correct the process to align with our expectation/goal. 2. For every process, if there is no monitoring process in place or if the monitoring process is not suffice or inefficient, then you will not be able to retain the (improvement) gains, that you have achieved. I should have a clear-cut view of my monitoring process. For instance, having some info as below can help me to arrive at a good monitoring process What I want to measure? (Eg: Delivery time – minimum time to deliver, maximum time to deliver) How I want to measure it? – Service Level Agreement (SLA) How do I benchmark it ? – Comparison of my SLA with my competitors/industry leaders 3. When there is no visual flow of your process as how it progresses from time to time, then monitoring of your process is difficult as you may miss the trend/pattern as how it is evolving over time, post the improvement. Context-Specific Reasons: In the case of the logistics firm which had new routing system 4. There could have been some unknown issue(s) that would have propped (emerged) up which might not have been anticipated as part of the monitoring and controlling process and suddenly those issue(s) getting frequently or permanently surfaced, in the new route (eg.. road narrowed down due to say – making that road as a one-way traffic and 2. laying out of pavement-platform extensions) Tools and Techniques that can be used for keeping our improvement gains intact (to this context): 1. Use a control chart for monitoring and controlling the process first for understanding the problem deeper/where the problem is. For instance Checking for 5+ continuous points on the same side (LCL/UCL) can throw hint about the process having a problem somewhere. [For brevity sake, we can put this though there are plenty of things that can be explored in control charts] 2. For addressing #1 a, Using techniques like Brainstorm, Liberating Structure (to arrive at a wider, engaging consensus amongst the employees of the firm) we can come up with some outcomes. The solutions could be like Include a live map APP, that can help in deciphering the current updated status in the new route system (improvement solution) Agreeing/Adherence to defined SLAs (more sensitization to employees, due to the newer challenges) Also, we can leverage, a FMEA/PFMEA tool, and with that, we can put necessary action plans and control this process Conclusion: Every process should have a monitor and control mechanism properly defined. If a process have a good monitoring capability, the process variation could be very high and the effort that a team might have put in to improve its process, might become a waste. Therefore, it is imperative that every team has a solid monitoring capability in particular. Monitoring and Controlling go hand in hand in Six Sigma projects and are inseparable. Its important that therefore your tracking mechanism is good and your control capability should be able to support/complement that.

The reason most improvements made during the Improve phase tend to slip away is due to the following: Lack of process ownership – If no one takes full responsibility for sustaining the process improvement, it will not last. Over time, even if the process is documented during handover, it may stop being practiced. Poor handover – Inadequate knowledge transfer or transition leads to confusion and inconsistency. Lack of standardization – Without clear and standardized procedures, people revert to old habits. Weak monitoring systems – If the process is not regularly monitored, deviations go unnoticed. Lack of leadership support – When leadership does not actively support or reinforce the changes, the improvements lose momentum. Tools & Techniques to Sustain Improvements 1. There are several tools and techniques to prevent these issues. One of the most effective is the Control Plan. It helps address poor handovers and lack of ownership, among other challenges. A Control Plan outlines: What needs to be monitored Who is responsible for the monitoring How frequently it should be done What actions to take if variations occur Using a Control Plan ensures that improvements are sustained over time.\\ 2. Control charts This will help us to monitor, control and improve process performance over time . It will mainly identify variations, visualize trends and shifts in the process and its ensure improvements are sustained. Control charts –Detects early warning signals It will reduce daily fire fighting by taking proactive control Encourages employees on data driven decision makings 3. Control Methods · Mistake proofing /poka yoke–eliminate human errors/Reduce dependence on manual work. · Spc charts · Source Inspection · Standard operating procedures 4. Routine Audits for to sustain improvements 5. Conduct structured Trainings for all process users 6. Dash board and KPI monitoring to capture important measurements .Power BI dashboards for real time Data.

First, we need to understand why improvements lead to slips. • Non-Standardization: Undocumented applied procedures, workarounds applied, band-aids not documented, and worked solutions not embedded into SOPs. • Limited Training: Non-standard training, insufficient training, no formal training or checks, and cultural mindsets led employees to revert to the "old school of doing things." • Non-Proactive Monitoring or Surveillance: There is no proactive monitoring in place to detect undocumented changes or outdated practices, leaving them unable to identify when issues arise. • Drifting leadership: Leadership misses undocumented changes, does not track the training and behavior of people, and accountability fades. • Scope Unchecked: Small, undocumented changes reintroduce variation. Due to not keeping "scope" in check, uncontrolled growth happens, and complexity increases Tools and Techniques to sustain improvements. • Plan of Control: Strategic direction or roadmap of what to monitor, how to monitor, and how often. Who is responsible? Also includes plans if metrics go outside targets. • Documentation: Update the training manual to include new work instructions and changes. • Ownership & Accountability: Assign ownership using a RACI matrix. Review performance metrics regularly. • Conformance Audit & Compliance Checks: Regular audits can help catch early signs of slippage. • Training: A personalized and focused approach to skills development drives continuous growth and improvement.

A lot of companies lost their efforts/solution during Control phase No goals if efforts will be gone or shift to worse So, any company should think in control phase and how ensure sustainability by using different methods and techniques There are a lot of reasons for these shifting or slipping and the following are some of them: 1) Weak or lack of Monitoring Without regular monitoring, improvements can drift/slip over time, and issues may unnoticed. Here, company should develop robust process and procedures for monitoring the process after solutions We can use SPC, charts, using also AI platform So, company will notify early So, we correct the issue immediately 2) Insufficient Training If employees are not properly trained on new processes, procedures, & AI tools may not use them effectively/properly, and then leading to drifted/slipping. 3) Changes in Processes Company stuff should know how to deal with changes in processes 4) Lack of Accountability As mentioned above, there are a lot of tools and Techniques for Sustaining the process like following: 1) Control Charts Using SPC properly is very important. Company needs to understand the data type and select proper control charts Control charts can help monitor the process performance and detect deviations early. So, we can raise corrective action 2) Dashboards Using dashboards like power bi can provide visibility into process performance 3) Internal Audits Conduct regular internal audits is very important to ensure that processes & procedures are being followed. 4) Continuous Training Continuous training can help ensure that employees (old and new) have the skills and knowledge needed to sustain process. 5) Process Documentation/form 6) AI Platform Using AI techniques like n8n will help company to detect the deviation early 7) regular meeting Management should be always aware and should take proper actions to ensure process always in proper way By using these tools and techniques, company can sustain process over time and ensure that drifted have not appeared.

Wins slip away during the control phase when teams go back to using the old processes due to lack of monitoring, accountability, or training of team members after deployment. using the logistic business as an illustration. Even if the AI solution provides a new routing system, drivers may ignore it, supervisors may stop checking the reports, or even little issues like fuel scarcity may create situations that derails the new system. To ensure improvement is in place, this tools can be integrated: Control charts: keep a control chart to track key metrics, and quickly detect any variation or slippage. and ensure the chart displays realtime performance so teams can stay aware and accountable. Process Standardization: Through simple to implement SOPs and checklists that are easy to follow and reflect on improvement systems and processes. Ownership and Handover plans: To ensure that somone is responsible for sustaining the changes on the system. Regular Audits: audits should be done regularly to ensure that what was improved is actually being followed.

Control is a crucial stage which ensures that the solution deploys sustain. Reason why the improvements or gains fails or slip away Relevant team and stakeholders are not made aware/trained about the new ways of working Lack of updating the standard operating procedure or process manual and people referring the old ways of working Lack of accountability for maintaining the improved status Performance review on the KPI or timely dashboard reviews are not followed or adhered Users resist the change or introduce shortcuts How to ensure adherence for sustainable solution Metric monitoring and reporting to detect any issues Timely updating the SOP and creating training planning for onboarding and calibrating everyone required Real time performance review via live dashboard Build robust system with mistake proof solution and do testing on all scenarios before deploying solution in production. Assign owner for specific for monitoring and governance Performance testing and regular audit to validate process adherence in production