How do you train and support the users and managers of the automation systems and processes?

Automation enables processes to scale efficiently as the organization grows. Identifying scalable automation opportunities ensures that the business can handle increased workloads without a proportional increase in resources.

Criterias can be enhanced via: - Seasonally Validation of KPIs - Mapping them to QSPM KPIs - Improving them TD-ABC - Align Automation to Strategies - Align Autiomation to Responses

Training users and managers on automation systems is key. Tailor programs to address user and manager needs. Highlight benefits to get everyone on board. Hands-on training builds confidence. Offer ongoing support through resources, help desks, and communities. This empowers users, improves adoption, and leads to successful automation.

I use 12 initial criteria 1. Repetitive and Rule-Based Tasks 2. High Volume of Transactions 3. Predictable and Consistent Workflows 4. Time-Consuming Tasks, like documents processing 5. Error-Prone Processes, like data entry 6. Scalability 7. Availability of Data 8. ROI (Return on Investment) 9. Complexity and Variability of tasks. 10. Regularity and Frequency 11. Customer Impact. 12. Technology Readiness and availability for specific industry and company size. Most often through discussions with stakeholders I add additional criteria and then we have a nice matrix overview of what is best to focus on quarter by quarter to achieve maximum results.

Start by figuring out which tasks are best for automation. Look for tasks that are done often, follow clear rules, don't need much human decision-making, and impact many people. For example, daily tasks with set steps are good candidates. Map out how these tasks are currently done, spot any problems, and see how automation could help. This will help you prioritize what to automate first, making the process smoother and more efficient.

Choosing the right automation tools is essential for ensuring that users and managers can effectively learn, adopt, and benefit from automation systems. By assessing business needs, evaluating tool features, involving stakeholders, and providing robust support and training, organizations can maximize the effectiveness of their automation initiatives.

Scikit Learn Algorythm Selection: - Scikit Learn Map: Is a good guide for AI Experts & Data Scientists to have the most suitable Algo for their AI affairs. IBM's BPM Tools: - Are the most sophisticated facilities with a standardized architecture that is suitable for Managing Business Processes.

I assess tools thoroughly and educate my clients about limitations in the initial phases of the project. Everyone knows benefits - they are all in the tools and apps marketing materials! But limitations are critical to understand in detail in order to make the best possible decisions. Nocode workflow automation tools are great choice for many companies that are looking to launch fast and avoid complexity.

Pick the right tools for your automation needs. There are various options like robotic process automation (RPA), business process management (BPM), artificial intelligence (AI), and chatbots. Each has its strengths and weaknesses, depending on what you need to automate. When choosing, consider how well the tool works, if it can grow with your business, how it integrates with existing systems, its security features, and the cost. Also, look at the vendor's reputation, the support they offer, and what other customers say about them.

Consider the different factors, but don't enter decision paralysis. Sometimes it's just best to start out with a tool you already know, get an MVP out for some quick wins, and iterate upon it as time goes by.

There are several useful process requirement management standard options like: 1) IIBA Standard for CBAPs 2) PMI Standard for PBAs

To design your automation solution, start by outlining the process requirements and choosing the right tools. Identify the inputs, outputs, triggers, actions, exceptions, and validations for each task. Clearly define the roles and responsibilities of users and managers. Involve key stakeholders and experts in the design process, getting their feedback and approval. Document everything thoroughly and test your solution in a controlled environment before going live. This ensures everyone understands their part and the system works smoothly before full implementation.

Some great tools for creating documentation and end-user guides are Loom.com and Tella.tv for video guides and ScribeHow.com for written guides.

What we do to support teams is the following: 1. Process mapping and documentation using Miro 2. Video tutorials using Loom 3. Support on any questions on how automations work using Slack

There are several useful training & support requirement management standard options for processes & their automation like: 1) IIBA Standard for CBAPs 2) PMI Standard for PBAs

Equip them with the skills and knowledge they need to operate, monitor, and troubleshoot the system. Clearly communicate the benefits and expectations of the automation to ease any concerns or resistance. Develop a training plan that outlines the goals, content, methods, and evaluation of the training. Provide continuous support and guidance to ensure they adopt the system smoothly and feel satisfied with its use.

KPIs/ Measures/ Criterias can be enhanced via: - United Nations Courses from UNITAR that is called Understanding Statistics & Data Analytics for Better SDGs Decision Making - Seasonally Validation of KPIs - Mapping them to QSPM KPIs - Improving them TD-ABC - Align Automation to Strategies - Align Autiomation to Responses

Based on the type of AI (such as AGI,ASI, ANI) you should have Learning Curves: - Learning Curves had been used to measure Humen speed of learning a knowledge & applying of the knowledge. Therefor you can find an equal learning curve from humen to fit AI types (AGI, ASI, ANI) to have a measure for optimizing them.

Make sure to not forget about collecting the end-user feedback. Get their perspectives as time goes by on what else can be improved and endorse a culture of constant improvement and sharing ideas.