Demand for enterprise workflow automation solutions has increased drastically in recent years. The rise of cloud technology, remote and hybrid work, and advanced AI algorithms have produced powerful tools for empowering teams.
By 2030, experts predict the workflow automation market will reach $78 billion as companies search for better ways to boost productivity and efficiency. In the contact center, workflow automation tools are becoming more adept at supporting employees and customers.
Used correctly, they can reduce business operational costs, improve customer satisfaction, and create more engaged teams. Today, we’re looking at some of the biggest trends in enterprise workflow automation worth watching in the year ahead.
1. Demand for Enterprise Workflow Automation Increases
A Salesforce study found that 95% of IT and engineering leaders prioritize workflow automation to boost productivity and strengthen customer experience. Increasingly, enterprise workflow automation is becoming less of a nice-to-have investment and more of a strategic priority.
This is particularly true in the contact center, where customer expectations evolve. Consumers want faster, more personalized, and more convenient experiences across every channel. Workflow automation tools ensure teams can offer robust omnichannel experiences and reduce average handling times with unified access to data.
Additionally, these tools can help companies improve compliance by making it easier to manage sensitive data and track potential security issues. This is crucial when regulations are becoming stricter in the contact center.
2. AI and Machine Learning Enhances Functionality
Artificial intelligence influences virtually every aspect of the modern contact center, paving the way for improved business insights and enhanced customer service. New forms of AI also lead to innovations in enterprise workflow automation.
Companies can now automate simple customer interactions using AI solutions, with generative AI bots capable of responding to consumers in a human style. Teams can automate the creation of content and follow-up messages for interactions and even automatically access insights into customer sentiment and intent in real time.
AI and machine learning tools can help companies gradually optimize workflows over time, creating more intelligent routing strategies or solutions for customer data management.
3. Hyperautomation in Enterprise Workflow Automation
As tools for enterprise workflow automation become more advanced, hyper-automation is gaining increased attention. Hyperautomation goes beyond the basics of simply automating repetitive workflows and mundane tasks.
It allows companies to combine robotic process automation, machine learning, and artificial intelligence in a way that augments human workers. For instance, CCaaS companies are using hyper-automation to create virtual assistants that can listen to conversations and intervene to provide real-time assistance to employees.
Hyperautomation allows companies to combine decision-making, data analysis, customer insights, and real-time augmentation to deliver transformative results. With this strategy, companies can expedite and scale manual tasks, reduce errors, and improve operational efficiency.
4. Greater Flexibility and Customization
Today’s contact center agents deploy various tools to ensure they can deliver powerful experiences to customers. Alongside CCaaS platforms, businesses embrace workforce engagement tools, UCaaS solutions, and CRM systems.
