Focus
Automate selected processes while considering integration, infrastructure, security and ongoing operation together.
Audience
Industrial companies
Integrate AI and automation reliably into existing ERP, MES and production systems.
Entry point
Starting point
Evolved systems with little tolerance for downtime
What matters
Operational reliability before a quick demo
First step
Assess use cases against actual data and systems
Starting point
What these organisations are dealing with.
New automation has to fit established system landscapes and live production processes. Interfaces, security requirements and availability targets therefore shape which solution is technically and operationally appropriate.
Assess automation ideas against available data, existing interfaces and operational processes.
Determine how AI applications can be securely integrated into the existing system landscape and operated reliably.
Have risks in software, interfaces, data flows and operating processes independently assessed.
Decision criteria
What matters when choosing a partner.
A solution that integrates established systems and continues to use existing data flows.
A solution that remains reliable and manageable under real production conditions.
Experience with demanding requirements for traceability, security and operations in medical technology, pharmaceuticals and industry.
Related services
Typical mandates from this environment.
Consulting
For decisions on AI, architecture and tooling that need to fit existing systems, teams and operational conditions.
View serviceSoftware development
For new products and existing systems where AI, interfaces, maintainability and operations need to be planned together.
View serviceAudits and assessments
For decisions, disputes and formal review situations that require an independent and traceable written technical assessment.
View serviceRelevant topics
Where the collaboration often starts.
AI Readiness and Governance
Assess existing capabilities and establish practical rules for data, tool access, approvals and technical responsibility.
View topicAgentic Engineering
How engineering teams can use coding agents consistently and establish shared practices for tasks, context, data and reviews.
View topicWhere could AI or automation usefully extend your existing systems?
Describe the process, system landscape and technical requirements. We will assess which next steps are realistic under your operating conditions.