EAI = Integration & BPM + AI
Consulting & Development for the Connected Enterprise
We bridge legacy systems and modern AI, so your data works as hard as you do.
We connect systems, automate processes and put enterprise data to work with AI.
Your systems hold the answers. We make them talk: we connect platforms, automate workflows and turn siloed data into one enterprise nervous system.
From raw data to real decisions: we build the ML pipelines, predictive models and AI strategies that turn your enterprise data into a competitive advantage.
We build AI agents that research, write, analyse and act inside your processes: connected to your systems and governed like any production system.
Health insurance · Germany
Integration platform modernisation for one of Germany's largest health insurance IT providers.
Railways · Austria
Ticketing, logistics and passenger information on webMethods, SEEBURGER BIS and IBM Sterling.
Banking · Singapore
Payment and settlement integration with high volumes, strict regulatory compliance and zero downtime.
Clear interfaces, data contracts and failure handling, designed for production from day one.
Real depth in webMethods, SEEBURGER, IBM Sterling and Camunda, and a straight answer on commercial or open source.
Scoped permissions, audited access, monitoring and runbooks are part of the deliverable.
A well-scoped first use case, proven against clear metrics, then scaled.
I started as a webMethods consultant for Software AG in 2010 and founded this company in 2015, after integration projects for Deutsche Bahn and Deutsche Bank. Since then we have delivered integration and BPM projects for BITMARCK and ÖBB, and today we put AI to work on the data those systems exchange. When you work with KONDEVS, you work directly with the people who design and run your integrations.
How kondevs.com runs on Cloudflare Workers, KV and R2: pages rendered at the edge, one-command deploys, DDoS protection built in and a cost model that rewards good architecture.
Claude Opus 5.5 lowers token prices and speeds up output, but in BPM it is a component, not an orchestration engine. State, routing, audit trails and fallbacks stay in the process layer.
Three questions help decide API vs events: does the consumer need a confirmed answer now, how many systems react, and can your team operate event infrastructure today?