Predictive Process Intelligence & Orchestration
See how work really runs.
Predict what happens next.
Change the outcome.
Procesario connects process intelligence, prediction and governed orchestration so teams can identify operational risk early and act across people, AI agents, automation and enterprise systems.
Process mining · Process prediction · Decisioning · Human & AI orchestration
Built for serious operations.
SEE → PREDICT → ACT → LEARN
- Enterprise data
- Process evidence
- Predictive models
- Controlled execution
- Full auditability
The problem
Most companies can see the past. The expensive problems are already happening in the future.
Dashboards tell you what happened. Process maps tell you how work was supposed to happen. Automation executes predefined tasks. AI agents can reason and act.
But critical business outcomes still emerge across disconnected systems, people and exceptions.
Procesario connects the evidence, the forecast and the action.
- Hindsight1 / 3
What happened
Last month: 126 invoices paid late. The cost is already paid.
- Foresight2 / 3
What is likely to happen
Today: 126 open invoices with elevated late-payment risk. €1.4M exposed.
- Intervention3 / 3
What should be done
Strongest driver: unresolved dispute. Human approval required before external communication.
The loop
See. Predict. Act. Learn.
Four steps, each with a product surface, closed by evidence. The whole platform is built around moving one case from observed to predicted to handled to measured.
- 01
See
Process reality from event data
- 02
Predict
What each open case will do next
- 03
Act
A governed intervention by the right executor
- 04
Learn
Every outcome recorded, the next prediction better
Learn feeds See: every outcome becomes evidence for the next prediction.
See
Start with process reality.
Connect event data from the systems where work happens. Procesario reconstructs the actual process — including variants, delays, rework, bottlenecks and value leakage — so improvement starts from evidence rather than assumptions.
- Process discovery
- Variants
- Conformance
- Root cause
- Object relationships
- KPI analysis
- Value leakage
- Invoice value
- €148,200
- Expected delay
- 18–24 days
- Intervention window
- ~6 days
- Confidence
- calibrated · high
Drivers
- 1Unresolved dispute
- 2Approval variance
- 3Previous payment behavior
- 4Delayed invoice delivery
- 126
- open invoices at elevated risk
- €1.4M
- currently exposed
- unresolved dispute
- strongest driver
- approval required
- external communication
Predict
Know which outcomes are at risk while you can still change them.
For every open case: the probability, the confidence, the business value exposed, the main drivers, the remaining intervention window — and the model and evidence behind it.
- Late payment
- SLA breach
- Order delay
- Exception
- Delivery risk
- Non-compliance
- Anomaly
- Business outcome
Decide
Turn prediction into a permitted next step.
Procesario is designed to combine the prediction with process context, policy, rules, value, risk and human judgment — so a recommendation is bounded before it is proposed.
- Prediction
- Process context
- Policy
- Rules
- Value
- Risk
- Human judgment
No hidden leap from “AI says” to “system executes.”
Route to alternate approver
+€964 discount captured
- Evidence
- · Second approval loop (2×)
- · Approver out of office until 22 Sep
- · Supplier disputed 3 of last 5 invoices
- Reasoning
- The discount window closes in 5 days. The current approver is unavailable; an alternate approver with authority for this amount is available today.
- Policy
- AP routing policy v3 · actions above €25,000 require approval
- Approval · autonomy level
- Human approval requiredA4
- 1AI agentA3Done
Draft supplier confirmation request with case context
- 2HumanA4Awaiting approval
Planner reviews and approves the escalation
- 3APIA4Queued
Update promised date and priority in the ERP
- 4Existing automationA5Queued
Notify carrier booking flow of the new slot
Act
Use the right executor for the work.
Procesario coordinates the response without requiring organizations to replace the systems already running their business.
- Human
- AI agent
- API
- Enterprise system
- Deterministic workflow
- Existing automation
- RPA where necessary
Operational context
AI agents need more than a prompt. They need operational context.
Procesario is designed to give an agent bounded context — the selected process, the case, the customer or supplier, the invoice or order, the process state, applicable policies, available tools, prior decisions and the actions it is permitted to take.
Bounded context · read
- the selected process
- the case and its history
- the customer or supplier
- the invoice or order
- the current process state
- applicable policies
- available tools
- prior decisions and outcomes
- permitted actions at this autonomy level
Agent step
RunningDraft vendor query
- identity
- agent:ap-vendor-query
- scope
- AP · case INV-77120
- tools
- read_case · find_similar · draft
- output
- schema: vendor_query_v2
- budget
- €0.40 / run
- level
- A3 · prepare
Permitted actions · write
- maypropose a next action with evidence
- maydraft the vendor query for review
- notsend external communication
- notrelease or change a payment
every call and output logged · policy AP-v3
Agents work inside the process rather than beside it.
Govern
Increase autonomy without giving up control.
Every action type runs at an explicit autonomy level, from read-only observation to bounded autonomy inside a policy envelope. Promotion happens on evidence. Every executor has an identity, a scope and a cost limit; every decision is recorded with the prediction that triggered it.
- Human approval
- Agent identity
- Scoped permissions
- Policies
- Audit trail
- Cost limits
- Model governance
- Escalation
- Kill switch
- A0
Observe
Read-only process intelligence.
Day-one deployment; regulated processes.
- A1
Predict
Forecast risk and outcomes.
A ranked collections queue by predicted payment delay.
- A2
Recommend
Suggest permitted next actions.
Route to alternate approver, with evidence and expected value.
- A3
Prepare
Prepare work for human review.
An agent drafts the vendor query; the AP specialist sends it.
- A4
Execute with approval
Action occurs after explicit authorization.
Release a blocked invoice after one-click approval.
Selected - A5
Bounded autonomy
Approved action occurs automatically within a defined policy envelope.
Payment reminders below a value threshold, sent automatically; anything outside the envelope escalates.
Learn
Every intervention becomes evidence.
Procesario Operational Memory is designed to record the prediction, the recommendation, the decision, the action and the result — so the platform can answer the questions that matter after the fact.
- ?Did the intervention work?
- ?Which action performs best for this kind of case?
- ?Is prediction quality improving?
- ?Where can autonomy safely increase?
- ?Which process change creates the highest value?
- Prediction
value · confidence · drivers · model version
1 - Recommendation
action · expected value · policy
2 - Decision
approved · edited · rejected · by whom
3 - Action
executor · level · inputs · outputs
4 - Result
outcome · KPI delta · timing
5
Procesario Operational Memory
append-only · every entry linked to its case
- Prediction
- Model version
- Recommendation
- Evidence
- Approval
- Rejection
- Human modification
- Agent action
- Automated action
- Execution
- Outcome
- Performance
result → next prediction · next recommendation · next autonomy decision
Solutions
Start where a better next outcome has measurable value.
- Accounts ReceivableIn development
Predict late payment before the invoice becomes overdue.
Know which receivables are likely to pay late, why, and which action is worth taking — while the invoice is still current.
Explore Accounts Receivable - Accounts PayableIn development
Find the invoices most likely to become exceptions.
Identify exception risk before manual work, approval delay and late payment accumulate — and route the fix while the invoice is still on time.
Explore Accounts Payable - Order-to-CashIn development
Know which orders are most likely to delay cash or customer commitments.
See the whole chain from order to payment as one connected process, and act on the orders that put cash timing or promised dates at risk.
Explore Order-to-Cash - Order FulfillmentPlanned
See delivery risk before the promised date is missed.
Predict late delivery, production delay, supplier risk and expedite need per order line, and act in time — expedite, re-source or notify.
Explore Order Fulfillment - Customer OperationsPlanned
Prioritize the cases most likely to become expensive, delayed or escalated.
Predict SLA breach, escalation and repeat contact per case, and route the response — reprioritize, reassign, recommend, escalate — before the case becomes costly.
Explore Customer Operations Another process where delay, risk, rework or exceptions cost real money?
Tell us about it
Why Procesario
Designed for the distance between insight and outcome.
- 01
Prediction-first
Not simply what happened. What is likely to happen next.
- 02
Actionable
Relevant insights can lead to a governed next step.
- 03
Open
Designed to work with existing systems, AI and automation.
- 04
Measurable
Measure what happens after intervention.
- 05
Progressive
Increase autonomy only when evidence, policy and risk permit.
Architecture
Built around the process, not another technology silo.
Process context at the base, intelligence and prediction on top of it, decision and orchestration above that, governance around everything — and Operational Memory running through every layer.
Technical readers: integrations and security.
- Experience
- Executive
- Process owner
- Analyst
- Operator
- Developer
- Admin
- GovernanceProcesario Control
- Identity
- Permissions
- Policies
- Autonomy
- HITL
- Audit
- Model governance
- Cost controls
- OrchestrationProcesario Orchestrate
- Workflow
- AI agents
- Humans
- APIs
- Systems
- RPA
- Events
- Decision
- Recommendations
- Rules
- Policies
- Next-best action
- Optimization
- Explainability
- Confidence
- PredictionProcesario Predict
- Next event
- Remaining time
- SLA risk
- Payment risk
- Delivery risk
- Exception probability
- Anomaly
- Process intelligenceProcesario Discover
- Discovery
- Conformance
- Variants
- Root cause
- Object-centric analysis
- KPI
- Value leakage
- Process contextProcesario Process Graph
- Cases
- Objects
- Events
- Activities
- Roles
- Systems
- Policies
- Decisions
- Relationships
- Outcomes
- Connect
- ERP
- CRM
- Databases
- Files
- APIs
- Event streams
- Documents
- Data platforms
Spans all layers
Operational Memory
The record of what was predicted, decided, done and achieved — read by every layer, written by every action.
- predictions
- decisions · edits
- actions · agent traces
- outcomes · KPI deltas
- policy changes
Procesario Outcome Sprint
Do not start with a transformation program. Start with one outcome.
One process. One measurable problem. One working evidence-to-action loop.
Typical initial scope: approximately 4–6 weeks depending on data readiness and complexity.
- 01
Connect
Establish data.
- 02
Understand
Reconstruct process reality.
- 03
Predict
Identify outcomes while intervention is possible.
- 04
Decide
Define the permitted next action.
- 05
Act
Operationalize the response.
- 06
Measure
Evaluate the outcome.
Where this leads
Connected processes become an operational model.
As more processes, objects, decisions, actions and outcomes connect, Procesario can build an increasingly complete representation of how the organization actually operates. Potential later capabilities include cross-process analysis, scenario simulation, resource planning, policy testing, adaptive orchestration, enterprise operational modeling — and, eventually, a genuine Digital Twin of the Organization.
The Digital Twin is a destination, not the starting claim. We start with one process and one measurable problem.
Twin the work, not the worker.
Start with the outcome you want to change.
Show us one process where delay, risk, rework or exceptions cost real money. We'll explore how Procesario could move from evidence to prediction to controlled action.