There are 6 key dimensions that enterprises need to focus on, in order to scale their automation and in turn, digital transformation.
1. Partner with Scalable Platforms – engage with a “future-proof” platform that has an architecture that allows new platform services and third-party services to be easily integrated, and the enterprises are able to extend the platform on their own. In addition, enterprises want flexibility in deploying automation, either on-prem or on Cloud, especially on the public cloud of their choice.
2. Focus on Targeted Outcomes – aim for faster time to value and ROI, which is possible through low code approach, and accuracy to emulate humans very quickly. There is a need to move beyond proofs of concepts (POCs) and focus on proofs of value (POVs).
3. Convergence of Technologies – combine RPA with other modern technologies such as AI, Machine Learning (ML), Natural Language Processing (NLP), and Computer Vision (CV) to unlock new avenues of growth and efficiency.
4. Structured approach to Use Case Identification – adopt a scientific process to identify use cases for automation, by leveraging techniques such as Process Mining and Task Mining. This will ensure a healthy pipeline of use cases, beyond the low hanging fruits of automation.
5. Invest on an Automation Center of Excellence (CoE) – Enterprises need to invest in building an automation-specific CoE to manage, govern, and stitch together all automation efforts across the enterprise. Going ahead, these CoEs are expected to start generating revenue and drive profits for the enterprises.
6. Focus on Automation Talent and Change Management – dedicated investment in building an automation-capable workforce by not only onboarding new talent, but also focusing on upskilling existing talent is not just critical but imperative. In addition, enterprises also need to instill innovation and automation as a cultural value across the organization for effective change management.
