A business process can look simple from the outset, but difficult in execution.
Let’s take customer account registration as an example.
Joe requests for an account opening form, fills and submits it, the customer service checks the information provided, reviews it, checks for compliance, forwards it for approval, then inclusion to data records, account opening, and then the customer receives confirmation.
That sounds pretty simple on paper or to Joe but not to the business, considering different account opening, users, information provided, and errors that occur during application processing.
This is where AI-powered tools for business workflow process analysis and mapping become useful.
These tools help business owners document and analyse their workflows, generate process maps from descriptions and analyse data from business applications, identify challenges, observe how repetitive tasks are performed, and find opportunities for automation.
However, they do not all work the same way. Some tools use AI to create a process map from a written description, while others examine event data from systems such as ERP and CRM platforms to reconstruct the process automatically.
A third group can examine how employees perform work across desktop applications.
Gartner’s recent research describes the broader process-intelligence market as combining process mining, process modelling, monitoring, analysis and automation.
It also points to the growing importance of process intelligence as organisations deploy AI agents that need reliable information about how business operations actually work.
AI Tools for Business Workflow Analysis and Process Mapping
Below are the best AI tools that handle business workflow analysis and process mapping.
Celonis
When it has to do with process mining and enterprise process intelligence, consider Celonis.
This powerful tool is built for businesses that want to analyse what actually happens inside their operations, rather than relying only on what employees say happens.
Celonis ranks first in my review because it has the following capabilities.
- Process discovery, mining, modelling, simulation, analysis, and conformance analysis
- Bottleneck identification
- Root-cause analysis
- Performance monitoring
- Digital twins
- Automation opportunity identification
It connects directly to data from applications such as ERP, CRM, finance, procurement, and other enterprise systems.
It gets records of everything that happens. For example, each time an order is made, an invoice is sent, payment is made, etc.
Celonis uses these data to reconstruct the sequence of events and create an overview of the actual process.
Instead of a sales manager telling the system:”Our ordering process has 3 steps”, the system can analyse the transaction data and show what employees and systems actually did.
Imagine you’re a retailer that processes thousands of invoices from your suppliers, there are bound to be issues with invoicing, approval, and delay in payment.
But with Celonis, it can scan through your transaction records, discover issues at any level, let’s say incomplete invoices for example so you don’t have to run checks through everything manually.
The only downside is that it’s sophisticated and not built for small businesses. Also, implementation, data preparation and integration can require technical know-how and expertise.
SAP Signavio
SAP Signavio is a big name in business processes; ranked highly in Gartner’s recent research.
It is built to handle business process analysis, documentation, modeling, mapping, mining, governance, collaboration, monitoring, and improvement.
It is best suited for businesses with large, complex operations, particularly organizations that are already using SAP systems.
Once you document your business process, it connects to your operational data to analyze how the process runs.
For example, if you’ve designed a procurement process in 5 steps, Signavio can discover that workers usually bypass one step, repeat another, or spend most of their time waiting for approval.
It can document the business processes across different units of the company, compare them, and discover areas that need improvement.
UiPath Process Mining
UiPath is known for its robotic process automation and ranks 3rd in my list.
It can handle process variations, identify issues such as delays, repeated work, and exceptions, and automate business processes.
For example, if employees handle routine tasks, repeatedly entering the same data into systems, UiPath Process Mining can identify the pattern so the business owner can check, and decide whether the repetitive activity should be automated.
It creates a direct link between business process analysis and automation.
UiPath uses the data generated by your business applications to reconstruct the business processes, show how they work and identify where automation could provide value using its process-mining technology.
Its key features are Process visualization, analysis, and performance analysis, problem and opportunity discovery, AI-powered process modeling, and integration with UiPath automation.
Microsoft Power Automate Process Mining
This is good if you operate within Microsoft’s business ecosystem. It analyzes event data generated by business applications.
For example, your ordering process can be in this sequence: Order initiated – accepted – fulfilled – invoice sent – payment.
Microsoft Power Automate Process Mining can analyze those stages and identify variations in the process.
You can also connect process analysis with the wider Microsoft Power Platform, Dynamics, Power BI and other products.
Miro
Miro works differently from the likes of Celonis and Signavio. It is a collaborative visual workplace with AI-assisted process mapping.
Instead of mining thousands of transactions, Miro helps businesses describe, discuss, design and document processes together.
You can describe a process to Miro AI and have it generate a process map from natural-language descriptions without requiring you to manually draw and connect every step.
It supports flowcharts, BPMN diagrams, value-stream maps and swimlane diagrams.
An application example is when a company wants to redesign its employee onboarding process from what already exists.
Let’s say from offer acceptance, document collection, account creation, equipment assignment, orientation, and employee resumption into the office.
Miro AI can turn that description into a visual workflow, making it easy for the HR manager, IT team or department manager to edit the map together.
Therefore, they can solve the problems of one department receiving employee data too late for processing or one unit repeating the process that has been handled by another unit.
Miro is designed for collaborative work, suited for business analysts, consultants, project teams, product teams and organizations conducting process-discovery workshops.
Lucidchart
Lucidchart is one of the most established tools for creating business process maps, so it is worth mentioning.
Lucidchart’s AI-powered process mapping capability makes the traditional mapping process easier and faster.
You don’t need to start with a blank canvas, simply describe what you want to map, and it generates diagrams. Then, you can reorganise the structure, add information and refine the process.
Lucidchart is capable of handling diagram generation, flowcharts, data linking, BPMN-style modelling, documentation integration with business applications, and others.
IBM Process Mining
IBM Process Mining focuses on analysing operational data to discover how business processes work.
It identifies bottlenecks in processes so they can be investigated appropriately.
It brings process mining into IBM’s broader enterprise technology environment.
It has similar features to some of the above-mentioned software, though not as sophisticated as Celonis, Miro or Lucidchart.
ProcessMaker
ProcessMaker is another fantastic tool turning mapped processes into automated workflows.
I like this tool because it does not stop at process documentation, it can help design your workflows and automate them, no stress.
For example, you can design a process and define what happens in every step, then it’s deployed with ProcessMaker.
For example, your employee expense reimbursement is in this sequence Employee submits expense – manager reviews – finance verifies – payment approved.
Instead of you documenting these 4 steps, it helps turn them into an actual workflow, and automatically sends the expense to the appropriate unit, routes approved expenses to finance and triggers the next step.
Mimica
Mimica addresses a problem that traditional process mining does not always solve.
Business systems can show what happened inside the systems, but employees often perform important work outside those systems.
An employee may move between email, Excel, a browser, an ERP system and several internal applications before completing one task.
Mimica thus uses task-mining technology to observe employees’ work activities and identify patterns in how their tasks are being performed. It thus analyze their actual computer-based work.
A practical example is an accounts-payable employee who receives an invoice by email, opens the document, copies information into an ERP system, checks a supplier website, updates a spreadsheet and sends an approval request.
A conventional ERP process map may capture only the ERP activity, but Mimica can reveal the work taking place between those system events.
Skan AI
Skan AI is also focused on understanding how employees and systems perform work.
It does not rely entirely on documentation, it analyses activity across the work environment to help companies understand the actual sequence of tasks.
It then exposes workarounds, repetitive tasks and process variations that may not appear in official process documentation.
Let’s say your company has a documented claims-processing procedure, and your employees have developed workarounds because the official process does not work efficiently.
Skan can help expose those patterns so management can decide whether the problem is caused by poor training, outdated procedures, unnecessary approvals or inadequate software.
An entrepreneur, business administrator, investor, and publisher who has spent nearly two decades exploring how emerging tech, the internet, and innovation continue to redefine the way people live, work, and build success.
With a unique blend of insight and experience, BusinessPally won the Corporate Vision Magazine – Global Business Award.
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