How can you improve collaboration between RPA bots and human workers?

1. Clearly Defined Roles: Define roles for bots and humans in tasks. Clarity is vital for collaboration. 2. Effective Communication: Ensure bots can send notifications and humans can instruct bots. Bots should flag issues for human intervention. 3. Training: Train human workers to work with RPA bots, understanding their capabilities. 4. Smooth Transitions: Enable seamless task transfers between bots and humans, with clear responsibilities. 5. Feedback: Establish a feedback loop for human workers to improve bot performance over time. 6. Performance Metrics: Define metrics for both bots and human workers, aligned with business goals for improvement.

People sometimes underestimate "Real-time Process Monitoring and Adaptive Automation." when enhancing collaboration between RPA bots and human workers.

Let's go back to the starting point. Why did we need robots? It was to save precious human time for more meaningful work. Therefore, effective delegation to humans is a vital component that the RPA architect needs to design. In this process, it's crucial to identify exceptions early on. The workflow should be meticulously crafted ensuring that automated processes handle routine tasks while human intervention is reserved for handling unique or unexpected situations. Additionally, enhancing this collaboration involves enabling human intervention requests to be acted upon seamlessly through a mobile app. This ensures that humans can swiftly respond to and resolve exceptions while on the go, further optimising the efficiency of the workflow

Enhance collaboration by: 1. Integrating RPA bots with collaboration tools. 2. Automating repetitive tasks to free up human workers for higher-value activities. 3. Providing training for workers on bot usage. 4. Establishing clear communication channels. 5. Encouraging feedback and iterative improvements. 6. Aligning RPA with human workflows and needs for a seamless partnership.

RPA specifically works best against legacy, UI-only applications with high case throughputs and strong compliance requirements. RPA is a tool for certain opportunities only.

Design the RPA solution around the ideal human working state, do not design it around the ideal RPA state. RPA is an operational technology used to enable business process, therefore the focus should be a solution that empowers and delivers the businesses requirement - not a technical masterpiece of the developer.

Phased or iterative deployment here is critical. If we take a traditional example of IT offboarding, then we can developed the controls while managing risk. 1) The first iteration solely focuses on integrating with the current workflow, it makes no other impact. 2) The second iteration solely focuses on removing non-critical access, to ensure the transparency and data into the digital worker actions are clear. 3) The third iteration focuses on removing wider access after demonstrating its previous successes. 4) The fourth iteration removes all access. At this point, if smoothly deployed the digital worker could branch into equipment collection and other leaver activities.

The article talks about RPA bots handling exceptions, but it doesn't recognize the importance of training them to recognize when to escalate tasks to human workers. Recognizing the limits of automation and knowing when human intervention is necessary is a critical aspect of training.

Digital Worker's should be treated as graduates in many ways; extremely intelligent but require strict guardrails (at no fault of their own). Therefore the scope of the digital worker tasks should be clearly defined e.g., this is out-of-scope for x reason. Scopes should be defined within the business systems, not within the solution. When it comes to error handling of cases the Digital Worker can deal with two things are critical: comprehensive data exception detail and clear stage gate processing. This ensures the human can submit a fully corrected case or pick up a case at the appropriate point in the process without re-working.

If your prioritisation framework for automation opportunities does not include your organisational values and assess how the opportunity aligns to these - change that now. Also, robots cannot commit malicious actions, people behind them can. Your people's integrity must be protected, not because you believe them to be malicious, but as a leader you will not stand for anyone be able to challenge their integrity.

1. Clear Roles: Define specific tasks for each – bots for repetitive, humans for complex tasks. 2. Training: Train workers to use and understand RPA tools effectively. 3. Communication: Foster open channels for Humans to share data and updates. 4. Feedback Loop: Create a feedback system for continuous improvement. 5. Work on process Optimization 6. Integration: Seamlessly integrate RPA systems into existing workflows. 7. Scalability: Plan for growth and adaptability to future needs.