The Real Process Flow Is Invisible
The designed process and the process that actually runs are not always the same. PaperWork Process Intelligence makes deviations, rework loops, alternative paths and repeated steps visible.
Process Intelligence | AI-Powered Process Analytics
Process Analytics: Your Organization’s Radar
PaperWork Process Intelligence continuously analyzes bottlenecks, deviations, workload imbalances, risks and the root causes of problems using real process data. It turns AI-powered improvement recommendations into tasks, notifications or workflows with a single click, making continuous improvement possible.
- 1Monitor
- 2Find the Root Cause
- 3Improve
- 4Take Action
- 5Measure the Result
- VisibilitySee how your processes actually run.
- ImprovementFind root causes and identify the right improvement.
- ForesightSpot risks and delays before they happen.
- ActionTurn recommendations directly into tasks.
PaperWork Process Analytics
Your processes may be running. But are they really efficient?
In many organizations, even when processes are digitized, their real performance cannot be clearly seen. Work gets done, forms circulate and approvals are obtained, yet the causes of delays, rework, workload imbalances and costly steps often go unnoticed.
This lack of visibility leads to longer processing times, unnecessary workload, deadline risks, customer dissatisfaction and a loss of operational control.
PaperWork Process Analytics reveals how your processes actually work. It detects bottlenecks, deviations, rework and risks, and analyzes not only where problems occur but also why.
Hundreds of processes run in your company every day. But:
- Are processes running as planned?
- At which steps do waiting and rework occur?
- Which work is at risk of missing its deadline or SLA?
- Where is workload piling up across users or teams?
- Which deviations are driving up operating costs?
- What is the root cause of delays and performance losses?
PaperWork Process Intelligence makes the answers to these questions visible through real process data and helps you identify the right actions for improvement.
Analysis approach
See the problem, understand the cause, start the improvement.
PaperWork interprets process activity through the questions management wants answered: Where are we losing time, why are we delayed and which issue should we address first?
- How does the process actually run?Compare the designed workflow with the path that employees and systems actually follow.
- Understand the cause of the delayCompare waiting time with the open work at the same step and the workload of each team.
- Turn the decision into workLaunch the decision as a task, and track the owner, target date and outcome on the same record.
Sample procurement process01 / 04
How does the process actually run?Normal flow · Rework loop · Waiting
Request
Pre-check
Quotation
Budget
Manager6
Revision
Finance
Outcome
Standard pathParallel reviewRework loop
Where the delay occurs becomes visible
Work piling up at manager approval
Manager approval6 open items
- Item 01Pending
- Item 02Pending
- Item 03Pending
- Item 04Pending
- Item 05Pending
- Item 06Pending
Six items are waiting at the same approval step
How much of the total time is waiting?
88%waiting
Share of procurement time spent waiting
Processing · 2.5 hWaiting · 18 h
Request completion time: 20.5 hours
The sample procurement process takes 20.5 hours to complete, 18 of which are spent waiting for manager approval. The animation shows the step where time is lost.
Representative records
Day-to-day operations
Uncover the Problems Slowing Down Your Processes
Work gets done, but where time is lost often goes unseen. A process running digitally does not mean it is running efficiently.
Bottlenecks Are Spotted Too Late
Waiting times and workload pile-ups are often noticed only after the process is already delayed. The system continuously analyzes bottlenecks and workload imbalances between teams to provide early warning.
The Root Cause of Problems Is Unknown
You can see where a delay occurs, but often not why. Artificial intelligence analyzes process data to uncover the root causes of delays, errors, rework and performance losses.
Risks Go Unseen Until They Grow
Deadline risk, SLA and KPI deviations, error density, open workload and bottleneck signals are monitored in real time, so you can intervene before problems grow.
Automation Is Applied in the Wrong Places
Automating every process or every step does not create the same value. PaperWork uses real data to identify where automation will deliver the greatest gains in speed, cost and efficiency.
Insights Do Not Turn into Action
Analysis results do not stay in reports. AI-powered recommendations become notifications or improvement tasks with a single click, and their results are measured to drive continuous improvement.
Records and values in the visuals are representative.
AI-Powered Process Insights
Turn data into insight, and insight into action
PaperWork Process Analytics analyzes process data across approximately 120 parameters with artificial intelligence to uncover bottlenecks, workload imbalances, deadline risks, deviations and the root causes of problems.
It runs simulations on historical data, generates an AI-powered process health report and offers the improvement recommendations with the highest impact.
It turns insights into notifications or tasks with a single click, making continuous improvement possible.
Simulation
Redesign Your Process with AI-Powered Scenarios
By running scenarios on historical process data, you can compare the likely impact of removing steps, changing routing or automating on completion time, workload and risk.
Results are estimates based on the scenario’s assumptions and should not be treated as actual outcomes.
Measurement scope
100+ metrics in a single management view.
PaperWork evaluates duration, workload, KPI, deadline, error and process path data together. Management no longer has to connect the dots between disconnected reports.
Duration and performance
- Request completion time and processing time
- Average duration and the time within which 90% of work is completed
- Waiting time per step
- Target duration and deadline compliance
Flow behavior
- Different process paths and deviations from the standard
- Repeated steps
- Rework loops and reprocessing
- Skipped controls
Workload and capacity
- Open workload
- Distribution by role and user
- Pile-up points
- Capacity imbalance
Risk and quality
- Error density
- KPI deviations
- Deadline risk signals
- Non-standard process paths
Simulation
- Step reduction scenario
- Impact on total completion time
- Change in workload
- Risk and cost comparison
AI interpretation
- Root cause explanation
- Prioritized list of findings
- Improvement recommendations
- Process analysis document
The records and values in the visuals are representative.
Platform relationship
Analysis and action on the same platform.
The steps, waiting times, deadlines, tasks and related documents of processes running on PaperWork are analyzed directly. No data is moved to a separate system. When a problem is found, the notification, task or improvement process is launched on PaperWork as well.
- The path the process followsSteps, transitions and waiting times
- Deadlines and target durationsDelay thresholds and target dates
- Related tasks and documentsThe records behind each decision
Process Analytics
What happened in the process, why, and what should be done?
Evaluate data togetherExplain the finding
- FindingBottleneck and deviation
- RecommendationData that explains the cause
- ImprovementTask and action
Result of the actionNew process activityRe-measurement
Benefits
Managers get issues to act on, not piles of data.
Management does not settle for seeing what happened in the month-end report. It is alerted while delay and KPI risks are forming, turns recommendations into tasks and uses the same indicators to track whether a decision worked.
A shared, up-to-date picture of the process
Operations, quality and management teams look at the same data. Meetings no longer start by reconciling different reports.
Earlier intervention
Bottlenecks, KPI deviations or deadline risks become visible when a threshold is crossed, and the responsible team is notified before the problem grows.
Data-driven improvement
Decisions on which step to remove or automate are based on their impact on the process, not on intuition.
Measurable progress
Total completion time, workload and risk values are compared before and after the action, so the value of the improvement is visible.
FAQ
Frequently Asked Questions
What is Process Analytics / Process Intelligence?
Process Analytics is the analysis layer that uses data to show how an organization’s business processes actually run. PaperWork Process Analytics processes data from workflows and uncovers bottlenecks, deviations, delays, risks and improvement opportunities.
What problem does PaperWork Process Analytics solve for organizations?
In many organizations, even when processes are digitized, it is not clear where they slow down, at which step they wait, which work carries risk and on which team the workload is piling up. PaperWork Process Analytics makes this invisible area visible and enables managers to make data-driven decisions.
Does PaperWork Process Analytics only provide reporting?
No. PaperWork Process Analytics does more than produce reports. It analyzes process data, interprets it with artificial intelligence, offers improvement recommendations and can turn those recommendations into a task, notification or action flow with a single click. Analysis is thus directly linked to operational improvement.
How is artificial intelligence used in process analytics?
Artificial intelligence analyzes bottlenecks, deviations, error density, deadline risks, KPI deviations and workload imbalances. The system answers not only “what happened?” but also “why did it happen, where should we intervene and which action delivers the greatest benefit?”
How are bottlenecks in processes detected?
PaperWork analyzes waiting times and processing times at each process step, overdue work, P90 processing times, open workload and activity-based bottleneck scores. This makes it clear which step is slowing the process, where work is piling up and which activity should be improved first.
How are processes monitored in real time with alert rules?
Organizations can define alert rules based on their own threshold values. When a deadline risk, KPI deviation, increase in errors, open workload, delay or bottleneck occurs, the system automatically generates an alert. Problems are seen the moment they occur, not in end-of-period reports.
What is process simulation used for?
Process simulation analyzes the workflow end to end using real process data. Artificial intelligence shows unnecessary steps, repetitions, waiting points and opportunities for simplification. Organizations can see the impact of a change on cycle time, workload and efficiency before implementing it.
How does Process Analytics improve automation decisions?
Automating every process or every step does not deliver the right result. PaperWork Process Analytics uses real process data to show where automation will deliver the most value, so automation investments are prioritized by measurable impact rather than intuition.
Who is PaperWork Process Analytics for?
It is suited to CIOs, operations managers, quality and continuous improvement teams, internal audit, compliance teams and digital transformation leaders. Every team can gain visibility, track risks, measure performance and manage improvement actions using the same process data.
What does PaperWork Process Analytics deliver for an organization?
PaperWork Process Analytics increases process visibility, detects bottlenecks early, monitors risks in real time, reveals workload imbalances, generates improvement recommendations with artificial intelligence and turns those recommendations into action. As a result, it grounds a culture of continuous improvement in real data.
Resources
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- 01
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- 02
We hold an introductory meeting.
- 03
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