Client Profile
Global enterprise managing a large, distributed technology and data ecosystem
Unified visibility across more than 50,000 physical servers
Automated enterprise metadata generation, evaluation, and certification
Enabled centralized, context-aware orchestration of conversational AI agents
Altimetrik was engaged by a global enterprise to resolve fragmentation in its infrastructure, metadata and conversational AI ecosystem. The client had physical server information scattered across multiple portals, metadata was maintained manually, and AI agents were functioning with no (central) orchestration.
With the client’s segmentation of data and AI, Altimetrik developed a unified infrastructure intelligence system with four integrated governance layers: automated metadata governance, Supervisor Agent orchestration, and an ontology-based knowledge graph. The solution built a trusted heritage of enterprise knowledge and scalable agentic AI.
The client faced four interconnected challenges:
These disconnected systems reduced trust in infrastructure reporting, analytics, and AI-generated insights. Manual processes increased operational effort, while the absence of intelligent orchestration limited the organization’s ability to scale advanced AI use cases.
Altimetrik created an automated CI Server Estate Gold dataset, consolidating server information into a governed, refreshable view. Power BI dashboards provided visibility into inventory, reconciliation, cost, trends, and vulnerabilities, while a Genie workspace enabled natural-language analysis.
Automated metadata generation was introduced across Delta tables, notebooks, agents, and Power BI reports. Confidence scoring, LLM-based evaluation, approval workflows, and a centralized metadata repository improved standardization and governance.
A Supervisor Agent was designed to understand user intent, route requests to relevant Genie agents, dynamically create agents when necessary, and manage temporary-agent lifecycles.
Altimetrik also developed a knowledge graph proof of concept that converted metadata and dataset relationships into an RDF-based ontology. The solution automated relationship discovery and synonym resolution while generating structured RDF/OWL artifacts for downstream systems.
Altimetrik combined data engineering, metadata governance, conversational intelligence, and knowledge graph expertise to address four interconnected challenges through one cohesive architecture. The resulting foundation enables trusted analytics, natural-language discovery, and governed AI orchestration at enterprise scale.
“Amit Singh is the Chief Strategy Officer and Chief of Staff to the CEO at Altimetrik, where he drives corporate strategy, growth acceleration, and value creation through transformation initiatives. In this dual role, he partners closely with leadership teams, investors, and the board to align business strategy with sustained, technology-driven growth.
With over two decades of experience at the intersection of technology, business, and transformation, Amit brings a unique perspective on how organizations can innovate and adapt in a rapidly evolving digital landscape. His career has been defined by building high-performing teams, scaling innovative platforms, and driving organizational change to deliver lasting impact.
Before joining Altimetrik, Amit held senior leadership roles at Visa, where he led technology strategy, engineering, and product development for Real-Time Payments and the Visa Developer Platform. Earlier, he served as Chief Product Officer at a startup and spent more than a decade at Oracle, leading product and engineering teams across a wide range of enterprise software applications.”
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