Leading Agentic TransformationAI & Enterprise Platforms
German Orlov
I lead agentic AI deployments from first workshop to production and measured adoption. Regulated enterprises, 15 European markets.
- AI diagnoses completed by consumers on the rollout I led
- 2M
- conversion lift from a voicebot-prefilled registration, live in production
- +45%
- people mobilized across my programs: engineering, operations and legal
- 80+
- markets running AI I took to production
- 42
How the work divides
Three areas. Every case study maps to exactly one.
- 01Agentic & Applied AILLM orchestration, agentic workflows, voicebots and computer-vision AI.
- 02Platform & ArchitectureAPI-first microservices, cloud migration and enterprise integration.
- 03Data & Digital ProductsFirst-party data capture and self-service products that move work from call centers to digital.
Selected work
Problems turned into shipped, revenue-generating systems.
Selected case studies across agentic AI, platform architecture, and digital products.
Try it
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How I work
I own the deployment from first workshop to measured adoption.
- 01
Identify
Frame the job to be done
- 02
Commit
Design it, then fund it
- 03
Deploy
Ship a thin slice with engineers
- 04
Consume
Make it stick, then scale it
The same model whether it's an agentic AI use case or a platform migration.
The full engagement modelBuilding an AI platform, or getting agentic AI adopted at scale?
I work with teams turning AI and data strategy into systems that ship — and stick.