Using AI in workflow to make work less stressful

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Subscribe to enjoy similar stories. Of all daily tasks, only a few contribute to true productivity. The majority of our workload is filled with routine, repetitive tasks that become exhausting over time.

These mundane activities, like applying for leave, submitting reports or assigning tasks, sap energy and distract from more important and strategic work, and consume valuable time, leaving employees feeling drained and less focused on what really matters. Workflow redesign, enhanced by AI, eliminates or automates rote tasks, streamlining operations and freeing employees to focus on higher-value work. To fully harness this human-AI synergy, it’s essential to understand what workflows entail.

Workflows are structured sequences of tasks designed to achieve a specific goal, ensuring smooth and efficient operation of various organisational processes. These workflows can range from simple approval systems to complex, multi-departmental processes. There are several types of workflows.

Here are some of them: Sequential workflow: A linear process where tasks are completed in a set order. An example is an employee onboarding process, where each step, from document submission to team introductions, must happen one after the other. Parallel workflows: Tasks that can be performed simultaneously, such as handling different facets of a project by separate teams working at the same time.

Rules-based workflows: These are conditional workflows, triggered by certain criteria, such as an automatic email being sent when a task is completed. Collaborative workflows with AI agents: AI agents work alongside human employees to make decisions and complete tasks. They assess situations, communicate with each other, and collaborate with team