From signal to executed action — without the manual relay.
Most decisions do not fail at the analysis. They fail in the gap between the recommendation and someone actually doing it. Decision Automation closes that gap, with approval where approval belongs.
What is decision automation?
Decision automation is running a recurring decision as a workflow: a signal triggers it, rules and models evaluate it, a person approves it where the risk requires, and the result is written back to the source system and recorded. In Veraius, workflows are drawn on a visual canvas and combine agents, DMN decision tables, BPMN processes and approval steps.
What Veraius does
- Starts a workflow from a signal, an event, a schedule or a threshold
- Evaluates business rules as DMN decision tables you can read
- Puts an approval step wherever the risk calls for one
- Writes back to external systems once, even when a step is retried
What it does not do
- It does not automate a decision you have not drawn and approved
- It does not hide its rules inside a model; the logic stays readable
- It does not remove the audit trail to go faster
How a problem is seen before anyone reports it.
Most problems are visible in the data days before they reach a meeting. Veraius keeps reading, checking and comparing on its own, so the problem arrives with its evidence while there is still time to act.
Read on a schedule
Connectors sync your ERP, CRM, MES and external data sources on a timetable you set, so the latest orders, stock, prices and records are already in place before anyone asks.
Turn data into signals
Signal rules and agent skills turn raw figures into signals: cheap energy hours from day-ahead prices, currency and inflation pressure, competitor price pressure, market growth, a stock or cash threshold crossed. Each signal carries its confidence and is not raised when the data is too thin.
A signal starts the workflow
You decide which signal starts which workflow. When it fires, the workflow starts on its own: the right agent gathers the evidence, rules and models evaluate the options, and the case is prepared without anyone opening a report.
Check without being asked
Scheduled workflows run on each organisation's own calendar. Open decisions are re-evaluated every night and operations are reviewed every hour, so a decision that has gone stale is caught before it causes damage.
Spot what is out of line
Agent runs include anomaly checks on the data they read, and a run that misses its service level or fails is recorded as a finding for review.
Hand the work on
When one workflow finishes, automation rules start the next agent in the chain without a click, and cross-department steps continue as one process.
Notify the right person, approve in Veraius
The finding reaches the right person with a link to the case. The decision itself is reviewed and approved in the Veraius app, and anything written back to an external system is written exactly once.
Decisions that already run themselves.
Stock Replenishment
Replenishment triggered from projected stock-out risk rather than a fixed reorder point.
Production Adjustment
Line plans adjusted when demand, materials or capacity signals move.
Pricing Recommendation
Price changes proposed with their margin and volume impact modelled first.
Inventory Transfer
Stock moved between sites to meet demand where it is actually building.
Alert Generation
The right person notified with the context and the recommended action attached.
Workflow Initiation
Approvals, purchase requests and cases opened directly in the systems that own them.
Signal to result, with a person where it counts.
Automation does not mean unattended. Approval stays in the chain for anything with material consequence, and every step is recorded.
Automated decision workflow with a person where it counts
An automated decision workflow is not the same thing as an unattended one. Most operational decisions are routine and low-risk, and holding them in a queue for human attention costs more than it protects. A minority carry real consequence and should never execute without approval.
Veraius lets you draw that line yourself. Rules and thresholds you set decide which actions run automatically and which stop for sign-off; the ones that stop arrive with the recommendation, the reasoning and the expected impact already assembled, so approving takes minutes rather than a meeting.
Executed decisions land in the system that owns them — the ERP, the WMS, the planning tool — and the outcome is measured and fed back, so the next recommendation is informed by what actually happened.
What your teams gain from Veraius agents.
Budget against reality
Planned and actual spend are compared by cost centre, and variances above your threshold are escalated with their cause.
See the Finance agents ManufacturingCapacity against orders
Open orders are compared with available capacity so delivery risk shows before a due date is missed.
See the Manufacturing agents IT OperationsChanges approved by risk
Low-risk changes move fast; high-risk ones go to the change board with the evidence already gathered.
See the IT Operations agentsIn every department
- Agents prepare the work on your own data; your people approve what happens next
- Plain-language questions answered from live ERP data, with tables and interactive charts
- Grounding check: numbers that cannot be traced to a source are not shown
- Explainability, confidence and risk scores with decision rationale
- Slack, Teams, WhatsApp and Signal channels with an approval inbox
- Department-based access policy with personal data masking
Frequently asked questions
Straight answers about integrations, deployment, security and cost — including where the honest answer is "it depends".
Ask your own questionWhat gets automated first?
A decision that is reversible, frequent and bounded — stock transfers rather than purchase orders, markdowns on slow lines rather than headline prices. Value is the fourth criterion, not the first: the first automated decision is a trust exercise, and its job is to prove the organisation can let a system act and survive being wrong.
How does human approval work?
By threshold rather than by blanket rule. Human-in-the-loop automation that escalates everything trains people to approve without reading; one that escalates nothing removes the check that makes it acceptable. Thresholds are set per decision type and move outward as the override record supports it.
What happens if an agent takes the wrong action?
The response is designed before deployment: how the wrong action is detected, how it is stopped without stopping the systems it writes to, what can and cannot be reversed, and who is told. The proportionate answer afterwards is narrowing scope rather than disabling the system — removal without restoration is how a year of work ends up switched off.