Nidhi Somani

To keep an AI agent focused, helpful, and efficient during complex or sensitive tasks the most important steps are  Prompt Framing: Definitely what’s goes in is what comes out. We need to set the right expectations upfront. Clear Goal oriented prompt is required.  Flow Constraints: We need to breakdown the process step by step and have the limited scope of conversion with each step. This keeps AI away from guessing and molding the answer.  Clarifying Question: AI should be trained to ask question for clarification in case of vague prompt. Be precis to reduce misinterpretation.  Summarizing : Recap before progressing to the next stage for reconfirmation .  Understand the emotions and escalation detection: Recognise the shift in tone and handle sensitive issue appropriately. These Steps help us improve the accuracy & focus and also enhance user experience, trust and satisfaction. Nidhi

Prompt plays the important role in quality & Accuracy of AI decision making.  Context enhances understanding o AI uses prior information in the prompt to generate context aware responses.  Clarity leads to accuracy o Ambiguous prompt produces vague result which can be misleading  Structure encourage logical flow o Structure prompt lead to step to step solution  Specificity Reduces Hallucination o Vague prompts can mislead the AI . The results show that well-designed, context-rich prompts significantly improved decision quality, while vague or overly technical prompts led to misinterpretation and delayed responses

Detecting early sign of AI process failure is very crucial and important to prevent incorrect output. Early Sign 1. Operational Anomalies- Infrastructure failure can degrade performance. 2. Early warning system: Automatic trigger when performance drop below limit and continuous retraining simulations to test robustness under changing conditions. 3. Monitor Data Quality & Input Drift- A change in input data patterns can degrade performance. Its important to set alert for missing values, outliers in real-time inputs. 4. Proactive measurement – training the model regularly, conduct regular audit can help us reduce chances for AI process failure. 5. Track performance continuously -A model might perform well initially but deteriorate over time. Track KPI’s and monitor error rates. By combining strategies, we can detect early signs of AI process failure.

By Name it’s says Improve phase is a process improvement initiative that goals to have solution the works for root cause of the problem. Measuring the best approach required for the improvement phase depends on below points: Identifying solution: Ø Impact v/s Effort- High Impact with low effort should be prioritize and implemented first followed by High impact high efforts. Ø Cost Benefit Analysis: This is most important tool to evaluate the approach. We need to estimate the ROI Ø Other Criteria like speed of deployment, cost, staff skill, expected Impact etc to be evaluated. Example: Bug Fix Improvement Scenario Solution Pros Cons Metrics to Watch Hire Scales capacity High cost Time-to-fix, code review load Improve testing tools Reduces bug count upstream Training needed, upfront cost Bugs found pre-release, dev velocity The ultimate key to success is start small and scale smart. Nidhi

When you are measuring a process like patient wait time in a hospital. It is easy to collect data like scheduled v/s actual appointment times but its difficult to know the true patient experience or identity area of loopholes. For having the correct picture and improve the quality of hospital services, we need to have strong clinical governance system where we have a systematic process for patient visit. We need to Map the entire Process from check in to seeing the doctor including all steps such as registration, doctor consultation and lab test etc. We need to have a mechanism for time in and time out for each step and should be measured with benchmark. We should have a seamless feedback mechanism to understand the pain point of patient which can be used as tool for improvement of the customer experience. We should have an appointment scheduling system to reduce waiting time and upgrading the waiting time experience by digital update about their number and so on. We need to Analyze patient wait time and enhance their experience by regular updates and feedback sessions. The most important steps to catch bad or incorrect data before it throws off your whole project is to regularly monitor that the steps implemented is followed and audited on regular basis. We should plan surprise and internal audit regularly. We should not rely on one source of truth and have cross mechanisms. Nidhi

Imagine a workplace where employee feel invisible, decision-making is done without their input & communication flows in one direction. Employee voice is ability for employee to Share their idea, feedback and concerns to have input considered in decision making. Encouraging to share their idea, opinions and concerns created a feedback positive culture that benefits both the Employee & Employer. Advantages of VoE: Ø Transparency & Trust Ø Driving Innovation Ø Reducing Employee turnover Ø Support Effective change management Ø Positive workplace culture While VoE brings lots of benefits, it essential to consider the challenges it can present. . Establishing effective employee voice systems requires time, effort, and resources. Resistance may come from employees hesitant to speak out due to fear of repercussions or from managers uncertain about how to process and act on feedback. Ø Conflicts Ø Slower decision making Ø Managerial Overload Ø Misuse of Feedback Channels. After the exploration of the pros & Cons of Employee voice, it is important to consider ho best to support Employees in the workplace to ensure they feel heard & valued. Its powerful tool when integrated Systematically. It requires trust building, listeaning mechanism & Visible action. Nidhi

BPR and Lean Six Sigma both aim to improve business processes, but they differ in approach, scope, and application. Business process reengineering (BPR) is the radical redesign of business processes to achieve improvements in performance, efficiency, and effectiveness. whereas Lean Six Sigma is a combined methodology to eliminate waste, reduce variation to improve processes incrementally. BPR begins from Scratch and focuses on processes, whereas Lean Six Sigma is for the improvement of existing processes and focuses more on customer value. BPR is best for outdated processes, and Lean Six Sigma is for well-established but inefficient projects. Hence, it depends on the project and business process we want to improve; we can decide whether BPR or Lean six sigma. For Eg: Lean Six Sigma A manufacturing firm uses Lean Six Sigma to reduce defects in a production line by identifying root causes and streamlining the assembly process. BPR: A bank eliminates manual approvals by implementing a fully digital loan approval system, bringing approval time from 3 days to 30 minutes. Nidhi