Process AI-driven process platform acts as a central hub for teams to oversee all recurring tasks, such as workflows, knowledge, data, forms, and surveys. Moreover, clients can produce workflows, policies, procedures, emails, and Slack messages instantly, addressing a significant challenge for individuals struggling to allocate time for developing these resources.

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Established in 2014, ProcessAI has supported numerous organizations, including Salesforce, MIT, and Colliers. Throughout its journey, the startup has received funding from prominent investors like Accel, Salesforce Ventures, and Atlassian Ventures, and has evolved into an essential tool for compliance and process-oriented teams in HR, Finance, and Real Estate industries.

Excitingly, ProcessAI is now unveiling the next phase of its product, transitioning from a workflow management tool to an AI-powered process platform.

What is Process AI?

Process AI is intended to give intelligent recommendations for operators to reduce material costs, reduce energy costs, and optimize line speed. The modeling and recommendations in Process AI are examples of Machine Learning (ML), which is a category of artificial intelligence. A Machine Learning algorithm identifies patterns in a given set of input data to determine its correlation with output data. The ML modeling in Process AI is used to predict the quality of products and to identify historical segments of optimal process settings.

Process AI gives numerical recommendations, such as lowering the setting for material flow or increasing the temperature at a certain step of a manufacturing process. ProcessAI automatically predicts the offline quality of a product while it’s still being produced. These quality predictions are streamed to operators and displayed together with recommendations on the optimal process settings for a given line and product.

This greatly reduces the risk of adjusting process settings while empowering operators to optimize their cost and line speed. The financial impact of changes is also predicted instantly to document the impact on material usage and energy costs.

Process AI is built to leverage the powerful Oden data architecture, this innovative solution represents years of experience applying artificial intelligence and machine learning in a manufacturing setting.

AI capabilities will empower our non-technical users to execute advanced automations, mathematical equations, text formatting, location routing, translation, summarization, sentiment analysis, and a variety of other business functions.

ProcessAI elevates the concept of no-code to a new level, enabling our non-technical users to design intricate workflows and create advanced automations that previously necessitated an engineering team, condensing numerous “if this then that” rules into a single directive.

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