Making enterprise AI a trusted operating layer
plugnpl.ai is built by just experts GmbH in Düsseldorf — combining deep technical expertise with practical business knowledge to deliver real value from day one.
Make enterprise AI a trusted operating layer — accessible, governed and value-creating for every employee in every organization.
Provide the fastest, most secure path from AI pilots to workforce-wide, governed AI execution — without vendor lock-in, prohibitive costs or dependency on scarce AI specialists.
How we work
Hyperscaler-native
We build on proven cloud structures inside the customer's tenant — not reinvented infrastructure.
Security & compliance by design
Embedded end-to-end, aligned with each customer's governance and regulatory requirements.
Control & transparency
Customers keep control over data, infrastructure and cost. We make trade-offs explicit.
Customer-driven building
We prioritize real business problems and validate solutions in day-to-day operations.
Integration-first
We fit into existing processes and systems instead of creating another silo.
Outcome orientation
We measure success by operational results — efficiency, quality, speed, adoption.
Guided by experienced operators
Daniel Stroh
CEO — Business Strategy & Execution
Viola Herbert
COO — Technology, Product & Architecture
Laura Denkhaus
CMO — Positioning & Go-to-Market
Swen Krups
Head of Customer Experience
The people behind plugnpl.ai
What's happening at plugnpl.ai
Milestones, recognition and the initiatives we're proud to be part of.
Why now: four findings that make the case for your own AI operating layer
Complexity, speed, moving models and adoption: four findings from McKinsey's State of Organizations 2026, and what they mean for how you run AI.
Read moreWhy we built our own CRM instead of renting one
Two months, 23 development days, and the old system is retired. Why a rented CRM is a liability with no end date, and when renting still pays off.
Read more
AI FinOps: when an architecture decision becomes a budget decision
Microsoft is moving Copilot scenarios from the flat licence to consumption-based credits. A per-seat licence can be planned, consumption cannot, and that turns every architecture decision into a budget decision.
Read more
Let's build your AI operating layer.
Talk to the team about deploying governed enterprise AI in your own Azure tenant.