How it works

Inside the
Aupulens ERP stack.

Every workflow in Aupulens moves through four stages: execute, process, analyse and deliver. Here is what happens at each step.

Execute

A workflow is requested and registered.

Local interface

Client Interface

A user initiates a workflow through the Client Interface, specifying parameters, data modules and operational logic.

Local engine

Aupulens Data Engine

The Data Engine generates a transaction context, assigning each event a unique, cryptographically secure identifier.

Core registry

Workflow Registry

The Data Engine serialises the workflow in the optimised ERP binary format and emits it to the automation fabric for processing.

Process

Business logic runs on distributed compute.

Distributed compute

Compute Nodes

Configured compute nodes execute the specified business logic, validating the workflow against enterprise-grade security rules.

Analyse

Results are aggregated and verified.

Core intelligence

Intelligence Layer

Once computation completes, the intelligence layer aggregates the results and prepares the data for the state update.

Core engine

Automator

The Automator synchronises the verified state with the global ERP database, staging it for final delivery.

Deliver

The target module receives the new state.

Global state

Application Engine

The Application Engine ensures incoming data matches the authorised system state.

Local engine

Core Automator

An Automator calls the auDeliver function on the committed state to process the update with the target module’s logic.

Application layer

Target Module

The finalised data is delivered to the target module, updating the enterprise state.

In motionData → AI → Decisions

What your team
actually sees.

The same pipeline, from the dashboard.

Data ingestion

Enterprise data flows from ERP systems, CRM platforms, financial databases and third-party integrations into a unified data layer for real-time processing.

Pipeline status14 sources
Active

SAP Financial → Unified ledger

Active

Salesforce CRM → Customer hub

Streaming

Stripe payments → Revenue engine

AI processing

Machine-learning models analyse patterns, detect anomalies and generate predictive insights. Automation triggers workflows based on your business rules and AI recommendations.

AI agent activity7 models
Running

Demand forecasting on 14M data points

Alert

Unusual SKU-2847 procurement cost

Done

Price model: 3.2% margin uplift found

Actionable insights

Decision-makers receive real-time dashboards, automated reports and recommendations. The system keeps learning to optimise outcomes.

RecommendationsThis quarter
+$340K

Renegotiate 3 raw-material contracts

-23 h/wk

Automate invoice reconciliation

Risk

Possible 8% Q4 cash shortfall

Aupulens / Data ingestion pipelineAll connected
Sources
14
Records / min
48.2K
+22%
Data quality
99.7%
PipelineStatus
SAP Financial → Unified ledgerActive
Salesforce CRM → Customer hubActive
Workday HR → People analyticsSyncing
Stripe payments → Revenue engineStreaming
AWS IoT → Supply chain monitorActive
Aupulens / AI processing engine7 models running
Models
7
Accuracy
97.3%
+1.8% wk
Anomalies
23
5 today
Processing

Demand forecasting · 14M historical data points → Q3 projection

Alert

Anomaly detection · SKU-2847 procurement costs flagged for review

Complete

Revenue optimisation · 3.2% margin improvement identified

Running

Workflow automation · routing 847 invoices through approval chains

Aupulens / Insights & recommendationsThis quarter
Revenue
$14.8M
+18.4% YoY
Cost savings
$2.1M
AI-driven
Efficiency
94.2
+12 pts
High impact

Renegotiate raw-material contracts. 3 suppliers found at 12% below market. +$340K

Process

Automate invoice reconciliation, currently 4.2 min per entry. -23 h/wk

Risk

Q4 cash projection shows an 8% shortfall. Accelerate AR collections.

Run your business
on Aupulens.

See the AI-native ERP on your own workflows. A 30-minute walkthrough with our team, tailored to your finance and operations stack.