Data & AI Executive · Germany
10+ years driving AI transformations, building high-performing teams, and scaling MLOps & GenAI platforms across global enterprise clients in DACH and beyond.
"The best AI strategy is one your team can actually execute — and own."
What we do
Whether you need an AI operating model, an MLOps platform, or AI use cases delivered end-to-end — each engagement is scoped to your maturity level and commercial goals.
Aligning your Data & AI stack with your commercial goals. We cut through the hype to build a funded, phased roadmap with clear ROI milestones your leadership can own.
Classic AI, LLM, and Agentic AI — a high-speed diagnostic (4–6 weeks) that identifies high-value bottlenecks for automation and maps a clear, funded path to ROI.
Senior-level Data & AI expertise — guiding your team, shaping architecture, and driving governance without the overhead of a full-time CxO hire.
Building the trusted data layer that most enterprises lack — governance, lineage, quality frameworks, and the architecture that makes AI initiatives actually work at scale.
Delivery capabilities
The hands-on execution expertise we bring to every engagement.
Design and stand up a Center of Excellence for AI — operating model, governance, use-case pipeline, and delivery rhythm that scales beyond proof-of-concept.
End-to-end ML platforms on Azure, AWS, or Databricks — CI/CD automation, Kubeflow/MLflow pipelines, model registry, and monitoring that cuts time-to-market by 50%.
LLM-powered applications, RAG pipelines, document intelligence, agentic workflows, and classic ML — end-to-end AI delivery with measurable business impact.
Recommender systems, campaign automation, and A/B testing frameworks that drive conversion — proven to lift revenue by 20–30% across e-commerce and retail clients.
Centralised enterprise data platforms with end-to-end governance, data lineage, and downstream analytics — unlocking AI and reporting at scale.
Delivery lead and program management for cross-functional AI/data initiatives — spanning engineering, business, and C-suite stakeholders across global organisations.
How we work
We don't oversell complexity. Every engagement starts with discovery and ends with something your team can own.
Source system audit, stakeholder interviews, and current-state architecture mapping to find the real gaps.
Target architecture, data model, and phased delivery plan — aligned with your team's capacity and business priorities.
Hands-on implementation with your team. We write the code, run the pipelines, and document as we go.
Knowledge transfer, runbooks, and an optional embedded support phase so your team is fully self-sufficient.
About
Ved Consulting brings 10+ years of hands-on AI and data experience directly to the clients who need it — from strategy and operating model design all the way to production deployment.
We've delivered AI Factories, MLOps platforms, and AI solutions for global enterprise clients in sportswear, manufacturing, banking, insurance, and retail — primarily across the DACH region.
Get in touch
Whether you're standing up your first AI Factory or scaling an existing MLOps platform — we're happy to talk through what's possible.
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