01
Sense the signal
Pick up a trigger from your systems - a stuck order, a deviation on the line, a high-priority ticket, a SLA at risk - and start the right workflow.
Operational processes
AI Process Optimization
Agentic workflows that sense signals from your systems, gather the right context, decide and act - removing repetitive work while keeping humans in control of what matters.
Up to 80%
of repetitive work removed in the workflows we automate
Hours back
to teams every week, freed from coordination and lookups
2-4 weeks
from kickoff to first workflow live in production
One orchestration layer. Many processes.
Instead of new point tools for every process, one agent platform connects to your existing systems and orchestrates the work end to end - with the same logic, governance and audit trail across every workflow.
- One platform connected to your operational data
- Workflows reuse the same context, rules and integrations
- Human checkpoints stay where judgment matters
Agentic means the workflow can reason, decide and act - not just move data between systems.
Where it shows up in the business
Where AI process optimization fits in
From service desks and back-office to factory floor and project delivery - the same orchestration layer fits very different parts of the business.
Operations & service
Service
Improve customer service, case handling, and field operations.
Operations & delivery
Transport & logistics
Plan routes, dispatch and ETA updates that absorb sickness, road work and changes automatically.
Project & data
Free project teams from data labour: sourcing, indexing and validating components and specs.
Engineering & production
Production
Reduce downtime, changeovers, and manual coordination on the floor.
From signal to action
How an agent workflow actually runs a process
Every workflow goes through the same four steps - so the work is explainable, traceable and easy to extend, instead of a black box bolted onto your systems.
02
Gather the context
Pull live data from ERP, MES, CRM, ticketing and procedures - through secure tool calls - so the decision is grounded in real operational reality.
03
Decide and act
Apply rules, models and reasoning, then execute the action: reroute, notify, update a record or open a case - in the same flow, with full audit log.
04
Escalate with full context
For exceptions or high-stakes calls, the workflow hands over to the right person with the data it pulled and a recommended next step already attached.
Customer stories
Already running in production
From industrial operators on the factory floor to media intelligence teams - agent workflows already remove repetitive work for Nordic and global enterprises.
GE Healthcare
Global healthcare leader · Industrial operations
10,000+
control documents made instantly searchable for factory
operators - on a fully closed, on-prem RAG solution.
Operators get correct answers to critical procedures in seconds - directly inside their tools - while sensitive data stays inside the factory and compliance requirements are fully respected.
Identifying AI opportunities in industrial operations
Read the full story →
MedieX
Media intelligence platform · Editorial operations
Hours
Minutes
for analysts to go from raw media signals to structured,
ready-to-use intelligence.
Agent workflows ingest, classify, summarize and route media signals across sources - so the team spends time on insight and decisions instead of moving data between tools.
MedieX: From media noise to actionable insight
Read the full story →
FAQ
Questions we often hear
Short answers on what process optimization really means with agentic AI, where it fits, and how we keep humans in control.
What is AI process optimization?
AI process optimization uses agentic workflows to automate decision-heavy work across operations, back-office and production. The agent connects to your existing systems, gathers context, decides and acts - and only escalates to people when it should.
Which processes are a good fit?
Any process with repetitive decisions across multiple systems is a candidate: incident triage, supply chain exception handling, finance and case routing, quality and deviations, production support and back-office automation.
How much manual work can it remove?
Up to 80% of repetitive tasks in a given workflow. The exact reduction depends on process complexity and how integrated your systems are - most teams see meaningful capacity freed up after the first deployment.
Does the agent replace people?
No. The agent handles the routine parts of the workflow so people focus on decisions that need judgment, accountability and relationships. Humans stay in the loop for exceptions and high-stakes decisions.
How does it connect to our existing systems?
Through standard APIs, databases and tool calls. The platform talks to ERP, MES, CRM, ticketing, document stores, data warehouses and custom systems - so we extend what you already have instead of replacing it.
Where does our data live, and is it secure?
By default the platform runs on our managed Nordic environment with full audit trail, role-based access and EU data residency. When security, scale or data classification requires it, we deploy the same platform inside your own cloud or on-premise.
What does a typical implementation look like?
We pick one high-value workflow, get it live in 2-4 weeks with you, and then expand. Your team owns the workflows from day one - we run the platform and add new workflows as priorities open up.
Shall we grab a coffee?
A short conversation to assess where agentic AI makes sense, and where it doesn't.
