Discover our innovation whitepapers

4 common digital transformation problems and how to fix them

Dive into our practical whitepapers on how to navigate revenue transformation, legacy constraints, knowledge retention and AI-driven compliance.

The future of product ownership: Leveraging connectivity and data to replace CapEx with OpEx

What you’ll learn about in this white paper?

IoT gives you 100% accurate usage insights, replacing biased or missing customer feedback.
Shift from one-off sales to a predictable product-as-a-service, turning CapEx into OpEx.
Use cloud intelligence to personalize products and add features remotely without changing the physical hardware.
The technology is already mature. The real challenge is shifting your organization from ‘product thinking’ to ‘service thinking’.

Stop flying blind: Unlock the power of real-time data for better decision-making and agentic AI

What you’ll learn about in this white paper?

Old ERPs and CRMs lack the live APIs required for agentic AI. Without real-time context, AI agents can’t act effectively.
Use change data capture and event-driven architecture (EDA) to connect legacy systems to real-time performance without a full overhaul.
Modern users demand millisecond latency. If data is stale or dashboards are slow, customer loyalty drops.
Real-time layers detect anomalies instantly and simplify scaling by processing data in continuous, manageable chunks instead of large batches.

Shift compliance from a last-step burden to a first-step advantage

What you’ll learn about in this white paper?

Move regulation to the start of R&D to avoid costly late-stage redesigns.
Use AI to map complex standards (EU AI Act, CRA) to engineering requirements in seconds.
AI automates compliance tasks: tagging documents, creating audit trails, and preparing dossiers. This reduces errors and frees up your experts.
Use AI-generated data to test high-risk scenarios without the physical cost.
Shift from ‘one-off’ certification to 24/7 AI-driven vulnerability management.

Modeling expertise in rule-based engines and AI tools makes it scalable, freeing experts for complex work.

What you’ll learn about in this white paper?

Relying on a few experts is a risk. It opens the door to planning bottlenecks, unchecked errors and knowledge loss when they leave.
Documentation isn’t enough. It’s slow, misses implicit knowledge, and stays passive.
Model knowledge so it generates output, using deterministic engines or AI trained on expert work.
Systemized expertise scales because automation handles routine cases while experts can focus on the hard ones
Build trust early with testing and human validation to ensure adoption.

Choose the whitepapers you’re interested in and complete the form to get access!