How do you scale your intelligent automation efforts fast and effectively? According to a joint KPMG/HFS Research study, having the top-down leadership courage and vision to charge ahead and upskilling and reskilling in-house IA talent are key pillars. This revolution is not just about technology; it’s really about a monumental transformation of human beings. It’s about change – and, therefore, change management. The true leaders will be the ones who succeed in doing business in wholly different ways, with human and machines complementing each other.
Key research findings
The clear path forward for any business is scaling automation technologies across the entire expanse of the enterprise – and the only way to get there is by building a digital-first culture where IT and business work together.
This report will give you guidance on how to lay the foundation for business and operating model transformation built on data and new technologies supported by people.
How to transform business and operating models
A portfolio approach that prioritizes and balances needs and goals is the best path. However, nothing will advance without two basic realizations:
60% of decision-makers at firms adopting AI technologies cite data quality as either challenging or very challenging. It was the No. 1 challenge facing firms trying to deliver AI capabilities.
How to build enterprise-level intelligent automation
New way of working: how to build the culture for scale
Top-down leadership and in-house talent are the fuel of transformation and success.
People make and mold IA — and they will be the guiding hand in its evolution. IA in turn will supercharge human capability. A strong culture must be ethical in its design and deployment of IA. Only then can it breed trust and reinforce the brand.
The golden ticket: change management
The biggest hurdle facing leaders as the ground shifts under their feet is how to effectively manage the change. It’s such a deep and difficult issue – and it doesn’t get the coverage it deserves amid all the talk about tech and outcomes. Consider the depth of the challenge: jobs are changing as AI technologies pick up some of the tasks, functions are being automated, and the workplace itself is just coming to grips with a whole new way of working. Leaders have to engineer a massive, unprecedented cultural shift to get everyone ready, willing and able for transformation.
Future scale: holistic integration
Embedding intelligent automation across the enterprise requires more than technology. To scale smart and stay ahead of the competition, you need leadership and in-house talent to transform business models and mold solutions.
Executives know they can’t achieve their goals for IA without more scale. The ambition is there, but they’re struggling to embed and enable IA technologies as deeply as they want across the organizations. Among the reasons according to our research: They’re too cautious in terms of pushing IA beyond pilots or deployments at the functional level; they lack the financial commitment; and they’re fighting to secure the talent they need to become truly digital-first organizations. In many ways, the age of automation boils down to people—and leadership.
Every business needs to be a tech company in its mindset and actions. In essence, leadership must approach automation boldly and intelligently to redefine core processes and the roles of people in the full range of functions—how they work, what they can do and the intelligent interactions they have with customers.