Introduction
In March 2024, Nintex released three new generative AI-powered product capabilities to further simplify customer workflows. The latest generative AI features leverage Nintex’s extensive AI experience, marking the rollout of a succession of AI-driven functionalities within the Nintex Process Platform.
We sat down with Niranjan Vijayaragavan, Chief Product Officer at Nintex, to discuss how the new feature helps teams transform their workflow productivity and Nintex’s vision for ongoing AI integration. He also shares why automation as a foundation is essential for any business to successfully adopt AI.
Q1: How will the new AI-powered automation features on the Nintex Process Platform help UK business leaders speed up process automation?
Niranjan: Our new AI features (form generator, form translator, and Nintex assistant) enable customers to strategically integrate advanced AI technologies into their daily operations to drive process efficiency. These features simplify document automation and significantly ease the workflow design process allowing users to create and customise new forms within seconds. Organisations can also leverage embedded natural language processing, to automate the translation of forms in more than 100 available languages, which enables them to serve a global audience efficiently by reducing the overhead cost of localisation.
Q2: The Form Generator, Form Translator, and Nintex Assistant are the first releases in a series of AI-powered capabilities being added throughout the platform. In what ways does Nintex envision the ongoing integration of generative AI into workflow design and management within the Nintex Process Platform?
Niranjan: Nintex has pioneered the use of AI within its automation platform for years, leveraging innovative technologies like advanced computer vision, robotic process automation, natural language processing, and Generative AI to enhance the efficiency of core business processes. We are rapidly enabling AI across all capabilities of our platform — discovery, process management, application development, process orchestration, document generation, and e-signature. We are continuing this innovation by rapidly enabling AI across all capabilities of our platform — discovery, process management, application development, process orchestration, document generation, and e-signature.
These features help organisations incorporate automation rapidly using the Nintex Process Platform and become more flexible and meet market demands. Take New Belgium Brewing, a US-based brewery as an example. They leveraged the Nintex Process Platform to expedite a new product launch. Their new product involved close collaboration across multiple departments and over 100 employees. Relying on manual processes slowed down the launch schedule. Introducing automation helped the brewery employees align around every step of the product launch and stand out in a highly competitive market. For customers like New Belgium Brewing, the generative AI-enabled features will make it easier for them to design and manage workflows on the Nintex Process Platform.
Q3: How do you see Gen AI enhancing chatbots?
Niranjan: Powered by generative AI, chatbots can become real productivity boosters. Chatbots can now leverage natural language processing, personalization, multi-model interactions, and domain specific responses using augmentation techniques to improve the accuracy and relevance of information provided to the user.
For example, Nintex Assistant exists within the product and acts as a partner to the user by assisting them in navigating and optimising their document generation efforts, offering just-in-time contextual help. It links directly to the Nintex help centre for improved effectiveness.
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Q4: Where do you see the biggest potential for AI to transform workflows?
Niranjan: AI will transform workflows in three big ways.
First, design time implementation of workflows will become far easier with context driven templates, business logic and task creation reducing the time to implement automation. For example, Nintex’s Form Generator drastically reduces the time to design new forms from scratch and Forms Translator makes translation to over 100+ languages simple and efficient.
Second, the run time effectiveness of workflows will improve significantly when leveraging AI. The ability to decipher business decisions, as well as automate task completion using AI will materially change how automated workflows function.
Lastly, the ability for workflows to self-optimize and self-heal will drive up the ROI from automation implementation significantly. Today, it takes organisations quite a bit of analysis to understand how to optimise ongoing automated processes. As AI takes on the management of workflow automation, organisations will no longer have to spend time and resources on lengthy analysis.
Nintex is intently focused on bringing each of these themes to life within our automation platform so that we can multiply the benefits customers derive from automating their business processes. Our overarching objective is to see organisations gain a competitive advantage by incorporating AI capabilities where they matter most.
Q5: What are the benefits of adopting AI into workflows, and how should organisations go about it?
Niranjan: Adopting generative AI into workflows will be an ongoing, staged effort for every business. We see process automation as a pre-requisite for organisations to derive long-term ROI from AI initiatives.
The benefits of leading with automation range from increased efficiency to improved decision-making on an organisational level. Most importantly, automating processes ensures manual tasks and cross-functional processes are not overloaded by net new content. Aiming to scale use of AI without prior automation in place can have the opposite effect and accentuate operational inefficiencies.
The idea behind successful generative AI implementation is to start small. Applying generative AI into already automated workflows or processes enables business leaders to prove success and then later scale that success using AI. Automation creates the foundation for increased organisational efficiency and failing to get this step right may hinder AI adoption. For example,implementing AI for specific tasks of an inefficient and manual loan approval process might create efficiency for those tasks but will not significantly reduce the overall time to get a loan approved. On the other hand, implementing AI on top of an already automated loan approval process can significantly improve the overall time.
Amidst the widespread adoption of AI, it is important to be wary of “AI washing.” In other words, companies must find technology partners that utilise AI in a meaningful and innovative way that creates real impact across the organisation. IT leaders should assess whether solutions merely extend basic automation or rule-based systems or embrace advanced AI techniques. It is important that business decision-makers align their AI strategy to genuine business objectives and challenges.
