The automation industry is falling short of fully utilizing automation and AI techniques to manage automation. This leaves today’s automation teams and COEs overwhelmed with manual bot scheduling, error mitigation, license management, and other tedious tasks that dilute ROI. Turbotic recognized this gap and set out to create an end-to-end, multi-vendor and multi-technology automation optimization platform that addresses these challenges in automation and AI.
Automation is about automating repetitive tasks or activities within a process to run on their own with minimal or no human intervention. However, managing automation and AI manually is not enough when dealing with multiple tasks across various vendors and technologies. Orchestration, on the other hand, is about automating multiple tasks to work seamlessly together as part of a larger workflow, which is much more complex than a single bot for a task.
The lack of automation and AI across the functional duties of an automation team/COE represents challenges in effective resource management, maintaining transparency and governance, and providing visibility into business value.
With just a brief glance at history, it becomes clear how past trends impact current trajectories. Network degradation was followed by network optimization tools. Reducing cloud resource waste by selecting, provisioning, and right sizing the resources spent on specific cloud features, gave rise to Cloud optimization. Fast forward to the present, check out Limitations of Orchestrators & the rise of Automation Optimization.
Automation optimization is a category that brings together end-to-end automation orchestration and management capabilities to cut costs, increase performance, and measure business impact across multiple automation tools. Technology complexity, operational visibility, lifecycle orchestration, and cost optimization are key areas where automation optimization with AI can benefit organizations.
“As we deploy automation across organizations, we see the need to move from a siloed approach of using point vendors (RPA, IDP, BPM, AI) to a holistic single pane of glass that can manage various solutions. Multi-technology and multi-vendor needs are prevalent, making the orchestration of these technologies, along with centralized governance and effective license and infrastructure cost management, now critical to maximizing our value and success.” – Carlos Cardona, VP of Intelligent Automation, Virgin Pulse
The Turbotic global report titled Current State of Automation Management found that a majority of automation leaders, around 64%, are still relying on manual approaches in their operations. This lack of automation and AI integration across the functional duties of an automation team/COE creates obstacles to effective resource management, transparency, governance, and providing insight into business value. The report also highlighted that the most significant hurdles to scaling automation efforts were increasing operational costs and difficulties in measuring ROI. The most significant barriers to scaling included increasing operational costs & inability to measure ROI.
“For automation to succeed, having & sustaining optimal utilization, is key. Automation optimization tools that integrate with multiple vendors and offer a single pane of glass to manage automation will lead to a better Total Cost of Ownership and perhaps even increased RPA adoption.” – Akash Choudhary, Director of Enterpriser Architecture, ServiceNow
AI techniques such as classification, forecasting, and prediction have proven to enhance the reliability and runtime of automation systems, decrease downtime and errors, and increase overall efficiency in business operations. According to the Turbotic report, which includes feedback from automation leaders worldwide, 67% of those with high operational costs expressed a need for lifecycle management that leverages AI to proactively detect and resolve issues within the automation workflow.
Automation leaders shared that approximately 85% of opportunities to optimize their automation processes revolve around managing expenses and costs related to software licenses, as well as the maintenance and management of RPA solutions.
Key takeaways from the Turbotic report:
1. Technology complexity: Automation is a long-term project that involves technology complexity and requires a software-based management framework to drive governance, reporting, and analytics across multiple vendors and technologies. While achieving interoperability and managing diverse technologies present significant challenges, it is essential to embrace them to meet business needs. The trend of using multiple vendors and technologies is irreversible.
2. Operational visibility: Without operational visibility, automation teams cannot effectively scale or improve their outcomes. Automation management tools offer visibility across vendors and technologies, empowering leaders to manage technologies, costs, and performance analytics.
3. Lifecycle orchestration: Process automation and AI have the potential to create intelligent orchestration throughout the automation process, starting from idea generation to value analysis. Dynamic scheduling, self-healing mechanisms, and customized analysis can aid in managing licenses and evaluating automation costs against their value.
4. Cost optimization: To optimize costs and ensure resilient operations, organizations must abandon manual RPA management and instead embrace automation management with AI. The critical areas for cost optimization are automation licenses, management, and maintenance.
“Automation Optimization tool provides a comprehensive solution to optimize the automation process from start to finish, resulting in decreased costs and improved efficiency.” – Amol Rajamane, Global Digital Automation Technology Leader, DuPont
Managing automation and AI manually is not enough in today’s era where customers are using multiple vendors and technologies that make up their automation portfolio. Automation optimization with AI can help organizations overcome the challenges of managing automation manually and achieve greater efficiency in business operations.
Managing automation and AI manually, after all, is not automation.
download the report: https://bit.ly/Turbotic_Report
