Noreja's Process Intelligence platform generates – Insights.Action.Impact.Feedback.
Noreja doesn't ship another pile of dashboards. It delivers process intelligence on autopilot. Agentic AI turns a closed loop of four phases — from the cause of a process problem to the proven euro effect. Around the clock, without the manual analysis work it costs you today.
4 phases4 customisable agent types24/7 in operation1 causal process model
Why feature lists don't sell
Process mining shows you what happens. Everything after that is still done by people.
Cause?A bottleneck is visible. Why it happens takes a three-week workshop to work out.Action?The analysis ends with a report. Who does what isn't in it.Business case?ROI gets estimated in Excel — by gut feeling, before the investment.Effect?Whether the action achieved anything, nobody remembers twelve months later.
The solution
Four phases. One loop. Process intelligence on autopilot.
Each phase produces the input for the next — and phase 4 restarts phase 1. That's the difference between an analysis project and a system that keeps making your processes better.
Noreja reconstructs a causal process model from your system data and works its way from the anomaly to the root cause.
Sources of errorWhere do cases break off, loop, or need rework?
Cycle-time driversWhich steps cost days — and which of them is the causal one?
Hidden costsManual interventions, lost discounts, duplicated work — quantified in euros.
Quality deviationsWhere does reality diverge from the target process — and with what consequence?
Insights Agentcompleted
4,812 purchase-to-pay cases analysed. Three causes explain 68% of all delays — leading: missing goods receipt from supplier DE-114, 6.2 days of delay on average.
Cases 4,812Confidence 94%Runtime 38 s
Phase 02“And what should I do about it?”
Action — from finding to action.
The agent doesn't just suggest what to do — it can trigger it. Notify people, systems, and agents or plan a redesign: you decide, the system prepares.
Notify the right personThe responsible role gets the case with full context — not the department.
Trigger a workflowTrigger in SAP, ServiceNow or RPA — straight out of the insight.
Set up a redesign projectScope, affected variants and baseline KPIs come pre-filled.
Action Agentawaiting approval
Recommendation: automate the approval limit for orders below €2,500. That removes 1,203 cases per year from manual review entirely.
Approve actionAssign ownerSimulate
Phase 03“What's in it for me — in euros?”
Impact — the business case, before you invest.
Every action comes with calculated potential, required investment and payback point. You prioritise by impact instead of by who shouts loudest.
Potential in eurosExtrapolated from case volume, resource cost and error rate.
PaybackFrom which month the action pays for itself — as a curve, not a claim.
Investment requiredEffort, licences, internal days — before the budget request goes out.
Impact Agentcalculated
Potential €1.42m p.a. at €180k implementation investment. Break-even in month 5, then €118k contribution margin per month.
Potential €1.42mInvestment €180kBreak-even Month 5ROI year 1 689%
Phase 04“Did it actually work?”
Feedback — the proof, not the intention.
After rollout, Noreja keeps measuring against the baseline. If the action works, you see it in numbers. If it doesn't, the loop starts over — with what you know by now.
KPI monitoringActual impact against baseline and target, continuously instead of quarterly.
Dynamic dashboardsViews that follow the process — not the database table.
Feedback into phase 1Every measured effect sharpens the model for the next round.
Feedback Agentlive
12 weeks after rollout: cycle time −22%, manual interventions −41%. Realised effect €1.31m — 92% of forecast. Two new anomalies handed over to phase 1.
Cycle time −22%Forecast accuracy 92%New signals 2
Who turns the loop
An agent system that works for you 24/7 in the background
Four generic agent types, one per phase. They hand over to each other, document every step and ask for approval before anything happens. Not a fixed product: you shape each type around your processes, systems and policies.
Insights Agent
Finds the cause
Searches causal process models for the trigger behind the anomaly.
Phase 01 · runs daily
Action Agent
Proposes actions
Spells out who does what — and triggers workflows once approved.
Phase 02 · human-in-the-loop
Impact Agent
Runs the numbers
Potential, investment, payback — per action, before the decision.
Phase 03 · per action
Feedback Agent
Proves the effect
Measures against the baseline and reports back if the effect fails to appear.
Every agent can be equipped with your own tools and knowledge bases — your systems, your policies, your KPI definitions. That turns four generic agent types into four agents that know your company.
Tools4 / 10
+ connect your own tool
Knowledge bases3 / 4
+ add your own source
Insights Agent equipped with 4 tools and 3 knowledge basesClick chips to activate · configured per agent
Cost-of-Inaction Calculator
What does doing nothing cost you?
Calculate in 5 min how much hidden cost per year sits in your end-to-end process – along the four process dimensions time, cost, quality and complexity.
Estimate based on industry benchmarks and typical process KPIs. We determine the actual figures together, based on your system data.
In context
Classic process mining ends where Noreja begins.
Phase
Classic process mining
Noreja loop
Insights
Shows variants and metrics
Names the causal root
Action
Report for the business unit
Concrete action, executable on approval
Impact
ROI estimate in Excel
Calculated case with a payback point
Feedback
Next project in 12 months
Continuous impact measurement, fed back into phase 1
Next step
We'll turn the loop once with your data.
In a 45-minute demo we walk through the potential of iterating through the four phases on one of your processes — including a calculated business case.
Our blog shares best practices, trends, and well-founded insights on modern process management. Stay up to date and deepen your expertise.
Two for One: Speed vs. Quality Is a False Trade-Off
August 25, 2026 • Lukas Pfahlsberger
Every team under pressure eventually hears the same instruction, in one form or another: we need this faster. And every team knows the unspoken second half of the sentence — but don't let qua...
Every management team has a dashboard. Cycle time, cost per case, first-pass yield, backlog, SLA compliance — the numbers are collected, coloured red, amber or green, and walked through in a ...
Business Case: How to Streamline Invoice Processing
August 11, 2026 • Lukas Pfahlsberger
Why Invoice Processing Matters Now
Welcome to a new edition of Business Case — where we take a fictional but realistic scenario, run the numbers, and show you what the cost of inaction reall...
Two for One: Speed vs. Quality Is a False Trade-Off
August 25, 2026 • Lukas Pfahlsberger
Every team under pressure eventually hears the same instruction, in one form or another: we need this faster. And every team knows the unspoken second half of the sentence — but don't let qua...
Every management team has a dashboard. Cycle time, cost per case, first-pass yield, backlog, SLA compliance — the numbers are collected, coloured red, amber or green, and walked through in a ...
Business Case: How to Streamline Invoice Processing
August 11, 2026 • Lukas Pfahlsberger
Why Invoice Processing Matters Now
Welcome to a new edition of Business Case — where we take a fictional but realistic scenario, run the numbers, and show you what the cost of inaction reall...