The company today
AI is partly in use, but it does not show in the operating result. Processes are built for people, with hand-offs, waiting times and checks that AI does not need.
Weigh & Assess
We clarify what should be achieved and what AI can already do for it today. The frame of data, systems and compliance is set from the start.
Capture & Connect
We capture knowledge from people, files and other places, along the company’s processes. For this we use knowledge graphs that AI can work with.
Design & Rethink
Processes are redesigned and checked for feasibility. Every workflow is thought through from the customer’s benefit.
Plan & Prioritize
Every process is assessed by benefit, effort and dependencies. A roadmap in stages takes shape.
Implement & Automate
AI agents take over routine tasks and relevant processes. Operations keep running undisturbed.
Embed & Establish
Employees and managers are trained. Clear rules for AI are set and make the new processes the standard.
Expand & Grow
What works at the core carries over into new areas, offers and markets. New experience flows continuously into the existing knowledge system.
An AI native company
All areas & departments run AI native, measurably in the operating result. Established processes are reviewed regularly.
- Today: The company today. AI is partly in use, but it does not show in the operating result. Processes are built for people, with hand-offs, waiting times and checks that AI does not need. What held until now: Hand-offs from department to department, Waiting in inboxes and filing, Approvals for every routine case, Status meetings and follow-ups.
- Kick-off · Discovery: Weigh & Assess. We clarify what should be achieved and what AI can already do for it today. The frame of data, systems and compliance is set from the start. Results: Goals & KPIs defined, Investment security created, Legal certainty established.
- Layer / 01 · Ontology: Capture & Connect. We capture knowledge from people, files and other places, along the company’s processes. For this we use knowledge graphs that AI can work with. Results: Expert knowledge secured, Data and systems connected, Transparency created.
- Layer / 02 · Operating Model: Design & Rethink. Processes are redesigned and checked for feasibility. Every workflow is thought through from the customer’s benefit. Results: Technical feasibility checked, Bottlenecks removed, Benefit quantified.
- Layer / 03 · Business Case: Plan & Prioritize. Every process is assessed by benefit, effort and dependencies. A roadmap in stages takes shape. Results: Priorities set, Roadmap drafted, Business case built.
- Layer / 04 · Agentic Workflows: Implement & Automate. AI agents take over routine tasks and relevant processes. Operations keep running undisturbed. Results: Responsibilities clarified, First process AI native after 90 days, Monitoring in operation.
- Layer / 05 · Enablement: Embed & Establish. Employees and managers are trained. Clear rules for AI are set and make the new processes the standard. Results: Teams trained, Governance established, Data protection & security in place.
- Layer / 06 · Scaling: Expand & Grow. What works at the core carries over into new areas, offers and markets. New experience flows continuously into the existing knowledge system. Results: Resilience increased, Productivity increased, Capacity freed up.
- Tomorrow: An AI native company. All areas & departments run AI native, measurably in the operating result. Established processes are reviewed regularly. Results: Operating result increased, Competitiveness secured, EBIT effect after 6 months.
- Revenue, EBIT, time to value and automation with target marks, an illustration. Illustration of the direction, not a measured result.