A top-down approach that aligns leaders, architects and data-science teams. No demos, nothing inconsequential. AI that serves the Enterprise.
Map executive ambition to use-case epics, value metrics and guard-rails—before a single line of code is written.
Turn messy silos into an ontology-driven Neo4j graph your agents (and humans) can trust
Wire knowledge graphs into RAG pipelines and multi-agent workflows for reliable, step-wise reasoning.
You have your AI Data Scientists. You have your Data teams. You have your Developers. You have internal Stakeholders. You need someone who can understand them all. Who can align AI with Enterprise Goals. Who can make Data delivered to AI. And you can help you to monitor the progress.
Clarify the business needs
Align with enterprise architecture and data strategy
Identify risks, gaps, and blind spots
Explain what your data scientists are doing, in business-relevant terms
Clarify how technical work connects to strategic priorities
Help executives ask the right questions and spot misalignment early
Identify promising vendors and off-the-shelf solutions
Review vendor claims and deliverables
Recommend cloud-native and standards-aligned approaches
Ensure proposed solutions integrate with your environment