Embedding intelligent automation across the enterprise requires more than technology. Executives know they can’t achieve their goals of Intelligent Automation (IA) without more scale.
The ambition is there, but executives are struggling to embed an enable IA technologies as deeply a they want across their organizations. Common reasons include:
They lack the financial commitment from firm leadership
They’re too cautious in terms of pushing IA beyond pilots or deployments at the functional level
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. KPMG recommends the following steps:
1. Redesign your core processes and operating models in terms of the advances automation technologies can provide.
If you’re stuck in the piloting phase, and you’re running into brick walls as you try to build a new culture around data and analytics, you could wake up tomorrow with a business that’s no longer relevant.
2. Gain top-level leadership support from a leader who enables transformation with financial buy-in and the enthusiasm that rallies teams around the cause.
The C-suite needs to lead the way and make bold decisions on scaling functions across business units.
3. Build a culture of automation by uniting IT and business teams so you can prioritize and strategize the deployment of technologies across business functions in an interdisciplinary way.
One-fifth of organizations have created integrated IT and business leadership teams to grapple with IA strategy and deployment.
4. Blend and integrate IA technologies as a way to reinvent processes or functions instead of opting for piecemeal tactics to solve problems.
Over 60% of organizations surveyed are leveraging multiple IA technologies to some degree.
5. Govern data to build the business case and machine learning models from accurate, relevant data.
Do you have the expertise to manage and protect your data, or should you partner with an expert?
6. Commit to change management programs to manage the transition from human to digital labor.
The true leaders will be those who succeed in doing business in wholly different ways, with human and machines complementing each other.
7. Hire for the new skills needed to build and manage automation technologies—and be creative in addressing IA skills shortages by leveraging contingent labor, crowdsourcing, and external service providers.
A dynamic culture builds its own skills and capabilities from within and deploys the right talent in the right ways around the right technology.
KPMG can help your organization take intelligent automation to the next step.