What are Process Intelligence tools and how do they work?

What are Process Intelligence tools?

Process Intelligence tools use data to create transparency into how business processes run, as well as technologies to unlock value and increase performance. When you’re looking at vendors selling Process Intelligence software, you’re usually looking at a packaged set of tools, technologies, and methods such as:

Process mining: You can think of process mining like an x-ray of your business. It uses business data to visualize, analyze, and optimize your business processes, giving you end-to-end transparency about the real way your organization operates.

Task mining: Similar to process mining, task mining uses data to understand how tasks are executed. But instead of business data, it looks at user interaction data including all the steps that happen outside of major systems, like checking emails or consulting spreadsheets.

Process modeling: The models created via process modeling are used to design an ideal process, taking into account institutional knowledge about how your business operates (such as enterprise architecture, organizational structure, or process landscape). Models can cover a wide range of processes from business processes like Purchase-to-Pay, to customer journeys or even an entire org chart.

Digital Twin of your organization: A living, system-agnostic replica of your operational reality. When powered by the Celonis Context Model, this digital twin combines hindsight, insight, and foresight (via Decision Intelligence) so you can understand operations in depth, simulate changes, and predict outcomes.

Generative AI and machine learning: Within Process Intelligence, Generative AI acts as an interface, while Decision Intelligence provides the foresight. By anchoring AI agents in the Celonis Context Model, non-technical employees can query processes using natural language, receive predictable, cost-effective recommendations, and trust AI agents to execute actions safely.

Automation capabilities: Whether we’re talking robotic process automation (RPA), automated workflows, or alerts, a good Process Intelligence tool will come with automation capabilities that allow you to interact with your systems and technologies across your wider organization, such as your ERP or CRM systems. This allows you, for example, to automatically and directly unblock orders, update master data, or notify employees all from within the Process Intelligence tool.

What value does a Process Intelligence tool bring to an organization?

Processes are at the heart of how things run in your company. By improving your processes you can increase efficiency, better adapt to changing demands, and be strategic about implementing technology.

But most companies struggle to understand how their processes really work. Their systems don’t play well together, and their departments don’t speak the same language.

In real life, this can look something like this:

A company who wants to improve their Lead-to-Cash process needs to investigate their sub-processes of Order Management, Inventory Management, and Accounts Receivable.

Order Management works with Systems like SAP or Salesforce and is concerned with, well, orders. But depending on what system they use; orders aren’t always called “orders”. Where Salesforce uses “order”, SAP uses “VBAK”. And that’s just one department — the same is true for Inventory Management and Accounts Receivable.

So while all three departments might share the goal of optimizing Lead-to-Cash, they can’t collaborate to achieve that goal as they work in siloed systems, with their own terminologies and conflicting concerns regarding performance.

So, clearly, finding common ground to drive performance and value is hard. That’s where Process Intelligence tools—anchored by a unified context layer like the Celonis Context Model—make all the difference by providing a single source of truth across siloed systems.

How do Process Intelligence tools work?

Process Intelligence tools do three things:

1. They bring siloed data together to deliver end-to-end transparency into the processes and workflows that run in an organization, like the steps and parties involved, dependencies between processes, as well as up and downstream effects.
2. They provide the visual aide to share insights and create a commonprocess language to break down the barriers between systems, processes and departments.
3. They provide the tools and knowledge to optimize performance and unlock value opportunities across an organization.
4. They combine Process Data and Business Knowledge to show what happened and why.
5. They leverage Decision Intelligence (predictions and simulations via LGMs) to anticipate future risks and opportunities.
6. They safely orchestrate human and AI agent actions across systems.

And they do these things in a cycle of continuous improvement.

It all starts with bringing data together as easily and efficiently as possible. We’re talking pre-defined analyses based on process knowledge, and data that works system agnostic,which means from any data source whether it’s an ERP system, Cloud System, Data Warehouse, or custom-built app.

This data is the basis for the actual process analysis, meaning the visualization and presentation of the data in dashboards, and the analysis of root causes behind untapped value using the Celonis Context Model, which equips AI models with the exact operational ground truth needed to reason correctly without hallucinating.

The next step is process improvement through automation, streamlining, and simplification. This includes setting up alerts when important KPIs fall out of range, but also building and implementing automated workflows for tasks that don’t need human intervention. A good Process Intelligence tool will allow you to take action across your systems and platforms and even third-party apps, but without disrupting your business.

Once you‘ve implemented optimization measures, you can use process monitoring to understand the impact of your measures, adherence to process models, conformance, and the development of KPIs.

One final thing to note is that Process Intelligence is a cyclical initiative that allows you to continuously drive optimization and unlock value. And it doesn’t just apply to one department or process – you can use it to scale process optimization across your organization.