AI Strategy & Roadmaps
Use-case selection, capability roadmaps, governance, operating model and sequencing.
From strategy and architecture to private LLMs, RAG, agentic workflows, semantic technologies and industrial AI—focused on business value, governance and usable delivery.

Use-case selection, capability roadmaps, governance, operating model and sequencing.
Copilot-driven agents, portfolio reporting, orchestration and human-in-the-loop workflows.
Hybrid retrieval, reranking, model routing, benchmarking and private knowledge workflows.
Taxonomies, ontologies, metadata governance and knowledge structures that improve retrieval and AI readiness.
AI-enabled condition monitoring, connected worker and operations technologies in manufacturing environments.
GCP Gemini, Vertex AI Search, NotebookLM, Microsoft AI and cloud-integrated enterprise solutions.

We start with the decision, workflow or information problem. Then we determine where AI, automation, semantic structure or conventional technology provides the best leverage.
Define the business problem, users and measurable outcome.
Select data, model, retrieval, agent and integration architecture.
Prototype quickly with measurable acceptance criteria.
Operationalize governance, security, monitoring and adoption.
Managed evaluation and implementation of eight AI-based platforms and digital technologies within a global manufacturing transformation.
Built metadata governance and semantic roadmaps covering 120+ capabilities to improve search, classification and AI readiness.
Hands-on work with private LLMs, RAG, hybrid retrieval, reranking, model routing, benchmarking and agentic portfolio reporting.
Start with a use case, an information problem, or an enterprise AI roadmap.
