Hurdles in Automation

Within enterprise landscapes, process automation is witnessing unprecedented popularity, yet signs of potential pitfalls emerge. The banking sector serves as a poignant example, where some institutions excel in efficiently automating tasks, notably evident in rapid online account openings by digital banks. In contrast, traditional banks grapple with prolonged processes, attributed to fragmented automation strategies. The crux lies in comprehensive end-to-end process optimization, a facet often overlooked by conventional banks. Successful automation transcends individual tasks, necessitating seamless connectivity and parallel task execution. Failure to map processes holistically compromises efficiency, echoing a broader challenge across industries as organizations pursue automation amid escalating customer expectations.

Significant hurdles faced by enterprises in regard to successful implementation and driving of their key automation initiatives :?

• Need to connect Multiple Endpoints simultaneously -Automation relies on diverse endpoints—people, systems, devices—coordinating tasks within a process. Unlike streamlined processes led by a single endpoint, automation involves intricate journeys, transitioning from human tasks to software-driven processes, system tasks, and IoT interactions. According to our Process Orchestration research, a typical automated process integrates up to upwards of 5 endpoints, ranging from customer portals to RPA bots. This diversity leads to fragmented business silos, hindering visibility and complicating process modifications.
• Escalating Process Complexity - Processes are evolving into intricate networks, with more than two thirds of IT leaders noting increased complexity based on our research. Factors contributing to this complexity include intricate human logic, branching, conditional logic spanning complex business rules, and sub-processes managed by different teams. Processes deviate from linear sequences, encompassing parallel activities, interruptions, and intricate workflow patterns. While basic steps can be automated with tools like RPA bots, advanced processes demand sophisticated logic, making implementation and defining the task at hand a challenging proposition.
• Visibility and Continuous Improvement Challenges - Despite undertaking substantial process automation initiatives, many enterprises lack comprehensive visibility. Further based on our research, more than two thirds of IT leaders struggle to consolidate process insights. This knowledge gap impedes business speed and poses risks. Thus, disconnections between teams result in erroneous builds, highlighting the importance of visualizing end-to-end processes. Standardized languages like 'BPMN' empower teams to collaboratively monitor and enhance processes. Therefore, effective communication and collaboration, facilitated by a shared language, enable real-time monitoring, updates, and adaptability - aligning with the evolving regulations and business conditions.?

Way ahead for establishing Future Proof Transformations -

As processes evolve in complexity with increased integration of endpoints, organizations must seamlessly coordinate these intricate workflows. What's imperative is a suite of technologies capable of orchestrating end-to-end automation across the entire organization. Orchestration provides continuity, unifying processes initiated by individuals, systems, or devices. By harmonizing disparate processes, it ensures coordinated and predictable operations. Moreover, orchestration enhances visibility into process efficacy, empowering organizations with comprehensive oversight for continuous optimization. This strategic orchestration not only aligns processes but becomes a catalyst for ongoing improvement and efficiency within organizational workflows and automation initiatives.