Your Guide to AI Workflow Orchestration
Since its inception, AI, or artificial intelligence, has seen its application to endless different fields and solutions. Among the various applications, AI has played an essential role in one particular area: Workflow Orchestration. The introduction of AI Workflow Orchestration technology into the modern workplace is making leaps and bounds, bringing tremendous business value to organizations. But what is it exactly? We’ll do a deep dive into AI Workflow Orchestration to give you all the details you’ll want to know.
What is AI Workflow Orchestration?
To get started, it’s important first to understand what workflow orchestration is. Workflow Orchestration is the process of arranging a series of steps or the various tasks necessary to perform an action. For example, a typical workflow in an organizational setting would be granting a user needing access to a specific application, also known as application provisioning. In a typical environment, there are multiple back-and-forth steps between the user requesting access to the application and a service agent, requiring multiple instances of questions and responses on both ends to complete the workflow. It doesn’t take a trained eye to see how error-prone, inflexible, inefficient, and outmoded this process can be. The constant back-and-forth is purely unsustainable, especially for rapidly scaling companies.
Where does AI fit into this all? AI Workflow Orchestration is the intelligent automation of these painful workflows. By incorporating AI into workflow orchestration, the AI removes the need for back-and-forth communication between the user and the service agent.
“By 2025, 50% of enterprises will have devised artificial intelligence (AI) orchestration platforms to operationalize AI, up from fewer than 10% in 2020.” – Gartner 2021
What are the benefits?
AI Workflow Orchestration streamlines everything. It’s as easy as that. AI Workflow orchestration proactively and autonomously enables users to complete actions, serves knowledge, and more. Aided by AI, users are no longer bogged down in a cycle of endless conversations with service agents and can spend their valuable time delivering on meaningful tasks.
Additionally, AI Workflow Orchestration addresses the error-prone nature of traditional enterprise workflows. The human factor in conventional enterprise workflows can leave too much room for error. AI-driven solutions for enterprise workflows enter both speed and accuracy into the picture. It doesn’t get any better than that. Organizations can now use AI Workflow Orchestration to do all the heavy lifting by offloading tasks and actions from service agents and sweeping through hundreds and thousands of user requests. AI Workflow Orchestration also opens up the doors in these processes for extensive data analysis and insights. The AI-driven solution monitors applications to provide detailed reports and unique insights on various areas of the organization. For example, organizations can utilize this data to track or better understand ROI, providing increased transparency and highlighting potential areas or departments that could benefit from automation next.
The icing on the cake is that these organizations simultaneously improve processes, user experience, and employee engagement while saving on costs. AI Workflow Orchestration drives strong ROI by drastically eliminating errors, improving service agent productivity, and speeding up ticket and request remediation.
All this sounds a little too good to be true, right? Wrong. While the benefits are impressive and, at times, may seem unbelievable, the fact of the matter is that AI is making huge strides in every industry. There has been massive progress in the technology that improves the AI itself or supports growing AI functionality, and we are beginning to see just how much an impact it has in our daily lives.
Some real-world applications
Now that we’ve gone through the basics of AI Workflow Orchestration, how can businesses leverage this kind of technology in their everyday operations? The possibilities are endless.
Bringing back the previous example of application provisioning, AI can enter the equation by just automating the whole process altogether by itself. Instead of a convoluted, back-and-forth process between the employee and service agent, a good AI Workflow Orchestration will only require the employee to request access to the application and the AI will take care of the rest. Take a look at the diagram below.
A proper AI Workflow Orchestration tool simplifies the process by eliminating extra steps, reducing time spent by the employee to get what they need.
That’s an example of an internal process automated by AI workflow Orchestration, but how does an external process look? Subscription upselling is a large part of how a business generates revenue; however, a traditional subscription upselling and upgrading process can be overly complicated. In line with the previous example, today’s subscription upselling process is outdated, requiring back-and-forth interaction between customer and service agent. AI Workflow Orchestration streamlines the subscription upselling process by doing all the heavy lifting. The AI can recommend a subscription upgrade, and if the customer confirms the recommendation, the AI will take care of the rest of the process. It’s as easy as that. Take a look at the diagram below.
“By 2025, 50% of enterprises implementing AI orchestration platforms will use open-source technologies, alongside proprietary vendor offerings, to deliver state-of-the-art AI capabilities.“ – Gartner 2021
How to get started with AI Workflow Orchestration
Adopting AI solutions is a simple process and is easy to implement. Start by identifying your needs. Does your organization need an internal or external facing solution? Are there any bottlenecks or gaps in your organization’s workflows? Next, look for the solution that’s right for you. A good AI Workflow Orchestration solution will effectively reduce your costs, time spent on tasks and actions and allows you to improve service agent productivity.
Aisera’s AI Service Management solution is the industry’s first of its kind. Aisera automates both customer service and service desk processes with speed and efficiency. By leveraging key proprietary technologies like Conversational AI, Conversational RPA, Ticket AI, and unsupervised AI, Aisera offers proactive, personalized, and scalable automation solutions spanning IT, HR, Facilities, Sales, Customer Service, and Operations. Request a demo today to see how Aisera can deliver top-tier performance for your organization.