Covering Disruptive Technology Powering Business in The Digital Age

Authored by: Zakir Ahmed, Senior Vice President & GM – Asia Pacific & Japan at Kofax

As intelligent automation continues to mature, more organisations are turning to robotic process automation (RPA) technologies to increase efficiencies amidst a skills shortage. But there’s a lot to consider as enterprises increase the mix of human and digital workers.

Successful organisations are turning to digital workforce management solutions to efficiently and securely manage all digital workers. The right solution adds substantial value and supports your organisation today, tomorrow and the future.

There are many reasons why a successful intelligent automation program needs digital workforce management. We address the four most important ones below.

1. Governance and Security

As human and digital workforces merge, a single governance environment is essential. Automated processes must meet audit, security and compliance requirements.

Central control allows managers to synchronise software robot releases with broader IT system updates, minimising disruptions and failures among the digital workforce. Robust digital workforce management software lets companies secure and monitor how information is used by all resources.

It’s also important to remember that a digital workforce management solution should enable the organisation to manage and enforce policy controls throughout the entire lifecycle of the digital worker, from creation all the way through decommissioning. This enhances security, compliance and auditability.

2. Workforce Orchestration and Management

An open platform allows enterprises to orchestrate work across people, in-house technologies and third-party RPA bots. Organisations can assign the right worker (digital or human), to the right task, at the right time, while maintaining total control over the complexity and cost associated with a given task or project. Additionally, an open platform enables companies to take advantage of more advanced AI technologies as they emerge.

A sophisticated platform enables users to build robots and connect to external applications using custom code, increasing the pace at which companies can expand the digital workforce.

3. Visibility

In order to drive continuous improvement, achieving – and maintaining – total visibility into all resources performing tasks within a process is essential. Organisations need to be able to answer questions on the current tasks, what’s in the pipeline, and how does process performance compare with KPIs.

An intelligent automation platform provides insight into business processes across the enterprise. Executives and managers get a holistic view overcoming the boundaries between departmental silos which has a greater impact across the organisation.

4. Scalability

Successful intelligent automation is scalable. However, most organisations have struggled to expand their initiatives. The largest barrier to automation was process fragmentation, showing that many early adopters have fallen into a state of fragmented operations.

The processes themselves, however, aren’t fragmented. Rather, resources performing the work, including automation and digital resources, exist in silos. Fragmented operations increase overhead costs and eat into the ROI on digital transformation investments. An open, integrated platform allows for common governance helping prevent fragmented operations.

Companies wanting to excel in digital workforce management will turn to a low-code, customisable intelligent automation platform. A solution as such allows organisations to build and manage a digital workforce exponentially and enables them to work like tomorrow, today.

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