Process Intelligence brings clarity to how your business actually operates

Real processes are messy, inconsistent, and full of shortcuts. Process Intelligence shows how work actually flows across your organization, between systems, teams, and handovers, so you can see clearly, spot what slows you down, and act where it actually matters.

Thinking vs. knowing

There is a massive gap between the “happy path” designed in your official manuals and the messy reality of a busy Tuesday afternoon. While your dashboard might show a process is “complete,” it won’t show you the three shadow spreadsheets and the prayer your team used to get it there. This Visibility Gap is where your profits leak through hidden bottlenecks, constant rework, and manual workarounds that your managers are too busy to notice.

What can you actually do with Process Intelligence?

Process Intelligence replaces assumptions and manual analysis with real execution data. With that foundation, you can start managing performance, identifying improvement opportunities, and instead of guessing – making the right decisions. Here’s what you can do with it:

You get a clear view of workload across teams: how many people you actually need, how time is distributed across processes and tools, and when work peaks or slows down. Instead of reacting to issues, you can plan capacity based on real trends, not assumptions or outdated reports.

Run your operations with solid data

You get a clear view of workload across teams: how many people you actually need, how time is distributed across processes and tools, and when work peaks or slows down. Instead of reacting to issues, you can plan capacity based on real trends, not assumptions or outdated reports.

You continuously monitor how processes perform in reality, not how they are supposed to perform. Track KPIs directly from execution data and highlights where delays, rework, or inefficiencies appear. We can also help you spot specific areas where improvement will actually make a difference.

Drive operational excellence without endless workshops

You continuously monitor how processes perform in reality, not how they are supposed to perform. Track KPIs directly from execution data and highlights where delays, rework, or inefficiencies appear. We can also help you spot specific areas where improvement will actually make a difference.

Instead of experimenting blindly, you see where your teams spend time on activities like document processing, email writing, or repetitive, context-heavy tasks. This makes it clear where tools like IDP, copilots, or AI agents can deliver value, and where they won’t.

Know where GenAI will actually pay off

Instead of experimenting blindly, you see where your teams spend time on activities like document processing, email writing, or repetitive, context-heavy tasks. This makes it clear where tools like IDP, copilots, or AI agents can deliver value, and where they won’t.

You don’t need surveys or declarations to know where people work. The platform shows how work is executed across environments, whether in-office or remote. You see where employees spend time, especially in productivity tools, and how that impacts operations.

Understand how work happens across locations

You don’t need surveys or declarations to know where people work. The platform shows how work is executed across environments, whether in-office or remote. You see where employees spend time, especially in productivity tools, and how that impacts operations.

All data is collected in the background. No manual input, no time tracking, no switching between tools. Employees focus on their work, while you get a complete, objective view of how that work is done.

Measure everything without disrupting your teams

All data is collected in the background. No manual input, no time tracking, no switching between tools. Employees focus on their work, while you get a complete, objective view of how that work is done.

With visibility into actual workloads, you can distribute work more evenly, reduce unnecessary overtime, and improve work-life balance. Instead of guessing who is overloaded and who has capacity, you see it clearly.

Manage your workforce with deep insight

With visibility into actual workloads, you can distribute work more evenly, reduce unnecessary overtime, and improve work-life balance. Instead of guessing who is overloaded and who has capacity, you see it clearly.

You can identify the use of unauthorized tools and applications, including external GenAI tools where employees might paste sensitive company data. This helps you manage risk before it becomes a security or compliance issue.

Detect Shadow IT and risky behavior early

You can identify the use of unauthorized tools and applications, including external GenAI tools where employees might paste sensitive company data. This helps you manage risk before it becomes a security or compliance issue.

You get a full inventory of tools used across the organization. This allows you to identify unused or redundant SaaS licenses, reduce tool sprawl, and make more informed decisions about your IT stack.

Take control of your IT landscape

You get a full inventory of tools used across the organization. This allows you to identify unused or redundant SaaS licenses, reduce tool sprawl, and make more informed decisions about your IT stack.

We help you identify tasks and processes suitable for automation and estimate their business impact. In many cases, such process highlights 10–25% of work that can be automated, and in some environments even 50–70%. This gives your automation teams a constant pipeline of opportunities instead of relying on ad hoc ideas.

Build an automation pipeline

We help you identify tasks and processes suitable for automation and estimate their business impact. In many cases, such process highlights 10–25% of work that can be automated, and in some environments even 50–70%. This gives your automation teams a constant pipeline of opportunities instead of relying on ad hoc ideas.

Whether you’re moving processes between teams, setting up SSC/GBS/BPO structures, or going through a merger or split, you can measure how processes perform before and after the change. You don’t have to rely on assumptions, you see what improved and what didn’t.

Measure the impact of change

Whether you’re moving processes between teams, setting up SSC/GBS/BPO structures, or going through a merger or split, you can measure how processes perform before and after the change. You don’t have to rely on assumptions, you see what improved and what didn’t.

It’s time to act on it.

If you’re tired of hearing “it’s complicated” every time you ask why a process is slow, schedule a demo for Process Intelligence tools. 

Find what slows you down and turn it into results

Companies that apply Process Intelligence typically see a 15–30% impact on their P&L. Not from one big initiative, but from a combination of improvements across productivity, automation, processes, and IT usage. Small leaks fixed at scale turn into serious savings.

10–25%

A large part of inefficiency comes from how work is organized, not how hard people work. By seeing how tasks are distributed across teams and tools, you can rebalance workloads, remove unnecessary steps, and eliminate time wasted on coordination or switching. 

productivity improvement

A large part of inefficiency comes from how work is organized, not how hard people work. By seeing how tasks are distributed across teams and tools, you can rebalance workloads, remove unnecessary steps, and eliminate time wasted on coordination or switching. 

10–50%

Most companies underestimate how much of their work can be automated. Process Intelligence highlights repetitive, rule-based, and context-driven tasks that are strong candidates for automation. On average, this sits around 10–20%, but in some teams, the potential can go well beyond 50%.

automation potential range

Most companies underestimate how much of their work can be automated. Process Intelligence highlights repetitive, rule-based, and context-driven tasks that are strong candidates for automation. On average, this sits around 10–20%, but in some teams, the potential can go well beyond 50%.

5–15%

Processes often exist in multiple versions across teams, regions, or individuals. Process Intelligence shows how they actually run and where they diverge. This makes it possible to standardize execution, remove unnecessary variations, and improve consistency without relying on workshops or assumptions.

process improvement and standardisation

Processes often exist in multiple versions across teams, regions, or individuals. Process Intelligence shows how they actually run and where they diverge. This makes it possible to standardize execution, remove unnecessary variations, and improve consistency without relying on workshops or assumptions.

2–7%

Many companies pay for tools they don’t fully use or don’t need at all. With a clear view of how systems are actually used, you can reduce unused licenses, consolidate overlapping tools, and improve adoption of the ones that matter.

savings from better use of IT tools

Many companies pay for tools they don’t fully use or don’t need at all. With a clear view of how systems are actually used, you can reduce unused licenses, consolidate overlapping tools, and improve adoption of the ones that matter.

Three ways to understand your processes but only one shows the full picture

Each approach gives you a different level of visibility into your operations. Manual analysis relies on workshops and assumptions, Process Mining shows what happens inside systems, and Process Intelligence goes further by capturing real user activity across tools, teams, and processes. You can finally see how work actually gets done, not how it’s supposed to.

Process
Intelligence

Process
Mining

Manual Process
Analysis

Criteria

What you actually see

What you actually see

Full picture: user actions + systems +tools

Only system logs (ERP, CRM, etc.)

What people say they do

Coverage of real work

Coverage of real work

100% across applications and activities

~20% (only what happens in core systems)

Fragmented, depends on interviews

Human effort visibility

Human effort visibility

Yes – shows time spent, workload, inefficiencies

No – ignores most manual work outside systems

Estimated, often inaccurate

Speed of insights

Speed of insights

Real-time or near real-time insights

Delayed, based on historical logs

Slow, weeks or months

Automation opportunities

Automation opportunities

Automatically identified with business case and ROI

Partially identified, requires manual analysis

Discovered manually, often missed

GenAI opportunities

GenAI opportunities

Clearly shows where AI can be applied (documents, emails, agents)

Not visible

Not visible

Process accuracy

Process accuracy

Based on actual behavior (no assumptions)

Based on system events only

Based on opinions and workshops

Implementation effort

Implementation effort

Low – background data collection, scalable

High – requires integrations and setup

High – workshops, interviews, documentation

Scalability

Scalability

Scales across teams, countries, and tools easily

Limited by integrations and infrastructure

Very limited, manual effort required

Use case fit

Use case fit

Operations steering, automation pipeline, workforce insights

ERP transformations, compliance, high-level flows

Initial discovery, but not reliable for decisions

Frequently Asked Questions

Let us try to resolve your doubts – explore this section with common inquiries on service delivery.

No. Data is collected automatically in the background. There’s no need for employees to log time, switch tools, or change how they work.

Yes. The focus is on processes, not individuals. You can analyse how work flows across teams and systems without evaluating personal performance.

Yes. Data can be fully anonymised and aggregated. You decide the level of visibility depending on your governance and compliance requirements.

Yes. Depending on the solution, you can choose cloud, private cloud, or on-premises deployment to match your security standards.

Yes. Leading PI platforms are built with GDPR in mind, including data minimisation, anonymisation, and full control over what is collected and stored.

Yes, but in a controlled way. PI helps identify where GenAI makes sense and measures its impact, rather than applying it blindly across the organization.

Compared to the value they uncover, no. Most organizations recover the cost quickly through productivity gains, automation, and better resource allocation.

Not necessarily. Integration isn’t strictly required, it adds significant value, making it more beneficial in scenarios involving larger-scale process optimization or more complex data environments.

PI tools do not rely on screen recording or OCR. They track application usage and interactions in a structured, privacy-conscious way.

No. The goal is to understand processes, not monitor individuals. With proper configuration, the data is anonymised and used to improve how work gets done.

They work best in organizations with complex operations, shared services, or high volumes of repetitive work – such as finance, HR, IT, and operations teams.

Are you thinking about Process Intelligence? 

Schedule a free consultation and see how your processes actually run before you decide what to fix.

Looking for a long-lasting partnership?

More than 80 enterprise organisations across EMEA and North America have shifted from “guessing” to “knowing”. One-off projects are not the point. We build long-term partnerships with customers who treat automation and operational excellence as a strategic priority, not a side initiative.

Don’t take our word for it. Take theirs.

Don’t let questions hold up your next project

Ask a question or just say hello – we’ll get back to you within a day. It’s quick, it’s free, and it might save you a lot of trouble. During a short call (online/phone), we’ll discuss how we can help solve your challenges. We’ll guide you to the best of our knowledge, even if it means we can’t offer you our services.