Workflow automation
Manual and repetitive processes become controlled workflows with defined checkpoints.
- Approval and escalation flows
- Reminder and notification chains
- Recurring data updates
- Task routing and follow-up
Service line
AI & Automation
Applied operational systems.
We analyse manual, repetitive or disconnected business processes and build automation, integration, data and controlled AI systems that fit your existing software and teams.
Service areas
Not a ready-made bot, but a working system built around your process.
We work end to end across five areas. In every project, scope, integration points and human control points are defined up front.
System integration
APIs, CRM systems, forms, databases and business applications are connected into reliable data flows.
- API and webhook integrations
- CRM and ERP data synchronisation
- Form and document flows
- Error handling and retries
Data & reporting automation
Operational data collection, transformation, reporting and recurring management outputs are simplified.
- Data collection and normalisation
- Automated recurring reports
- Management summaries and KPI outputs
- Merging data across sources
CRM & sales operations
Lead flows, pipelines, opportunity management and follow-up systems are organised.
- Lead routing
- Pipeline and opportunity management
- Post-quote follow-up flows
- Operational visibility and alerts
AI-assisted internal tools
Classification, document processing, decision support and controlled AI workflows are built.
- Document processing and classification
- Summarisation and information extraction
- Decision support screens
- Human-approved AI steps
Delivery method
A working system in four steps
The same method applies to every project. Each step has a concrete output, and the decision to move on is taken together.
- 01
Understand the process
We review current tools, manual steps, data flows and bottlenecks on site.
- 02
Identify the value area
We define where automation, data or AI genuinely produces a measurable result.
- 03
Build and integrate
We roll out the solution in small, testable pieces that fit the existing operation.
- 04
Monitor and improve
We improve the system based on real usage, error logs and team feedback.
Working boundaries
What we do not do is defined too.
No development without scope
We do not start building until scope, deliverables, integration points and human control points are clear.
No unsupervised AI step
Every AI step with operational impact has a verification or approval point.
No unnecessary rewrites
If an existing system does its job we do not replace it; we build the missing connection and flow.
Two lines
The difference between Core and AI & Automation
Both are part of Operixon, but they answer different questions.
Technology
Operixon Core
Proprietary decision technology. The infrastructure we develop long term to model operational context and simulate actions.
Service
AI & Automation
Applied engineering services. Automation, integration and AI systems that solve a concrete operational problem that exists today.
Contact
If you know which decision is going wrong, start there.
Let's review your current data and process setup together, for an Operixon Core evaluation or an automation need.