For several years, I’ve commented on a range of emerging technologies that will have a profound impact on white-collar work in the coming decade. I’ve now coined the term “Robotic finance” to describe this emerging focus, which includes four key areas of technology: Artificial intelligence (AI) and machine learning (ML), robotic process automation (RPA), bots utilizing natural language processing, and blockchain distributed ledger technology (DLT), each of which I describe below. Robotic finance will have a disproportionate impact on finance and accounting departments: I estimate that adoption of these technologies potentially will eliminate one-third of the accounting department’s workload within a decade.
Topics: ERP, Machine Learning, close, Consolidation, Continuous Accounting, Reconciliation, CFO, Robotic Process Automation, blockchain, AI, natural language processing, Accounting, RPA, bots, voice automation
Robotic process automation (RPA) relies on programming or the application of analytical algorithms to execute the most appropriate action in an automated workflow. RPA enables business users to configure a “robot” (actually, computer software) to interact with applications or data sources to process a transaction, move or manipulate data, communicate with other digital systems and manage machine-to-machine and man-to-machine interactions. This technology is gaining increasing notice by finance departments, with good reason: RPA represents an important step beyond simple process automation in that it uses software to execute routine but complex workflows that require judgment. Rather than making an individual check-off a step in a routine approval, a robotic system applies an algorithm that decides the next step. The system thus does what people spend an awful lot of their time doing every day: making judgments that most of the time could be done by a machine.
A lot is being written and said about the omnichannel customer experience and the role contact center agents play in providing such experiences. From the customer’s perspective, I think it boils down to four things: that the interaction is easy, personal to them, within the context of the relationship and previous interactions, and consistent no matter with whom or what technology they interact. From the agent or user’s perspective, it should be easy to find the information needed to resolve the interaction to the customer’s satisfaction, and he or she must be empowered to resolve any issues that arise.
Our benchmark research over the last couple of years confirms what we all instinctively know: Consumers engage with each other and organizations using an increasing number of engagement channels. Indeed, our latest research into the next-generation contact center in the cloud shows the average number of channels organizations now support has grown to almost eight. The same research confirms that organizations now realize the way to compete is to match or exceed customer expectations regarding how these interactions are handled. Summing these expectations up, customer engagement must be easy, personalized, in-context and above all consistent across all channels.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Feedback Management, Customer Service, Contact Center, Omnichannel, Robotic Process Automation, Customer Journey Maps, Workforce Optimization
Not many years ago, building and running a contact center was a complex task. Organizations typically had to license all the systems they required (most of them proprietary and on-premises), customize them to meet their requirements and integrate them into a workable architecture. But beyond all the systems issues, the key to running the center was forecasting the right number of skilled agents that would be needed to handle expected interaction patterns and then routing calls to the most skilled agent for that specific interaction.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Feedback Management, Customer Service, Contact Center, Omnichannel, Robotic Process Automation, Customer Journey Maps, Billing and Recurring Revenue, Workforce Optimization, Digital transformation