Infrastructure Precedes Autonomy.

The mid-market leader’s dedicated Fractional Chief Data Officer.

We clean up data swamps, stabilize runaway cloud-compute liabilities, and enforce the rigorous relational architecture required for secure, predictable enterprise AI scaling.

The Iceberg Beneath Enterprise AI

Deploying autonomous AI models or LLM agents onto an un-governed, chaotic data estate is a permanent capital drain. Without strict relational boundaries, autonomous systems run blind,—generating massive, redundant table scans, hallucinating raw code, and driving up your cloud compute billing.

The Invisible Costs of an Unprepared Data Estate:

  • Runaway Compute Costs: Unoptimized AI query loops causing unpredictable cloud infrastructure invoices.

  • Semantic Dissolution: Contradictory metrics across business units because rules aren't codified at the storage layer.

  • Operational Fragility: Expensive AI pipelines breaking the moment a legacy schema shifts.

The truth is simple: You cannot automate an estate you haven't engineered. The icebergs will sink the system before the model ever delivers ROI.

An Agent-Ready Data Estate is engineered below the waterline.

Fractional Executive Mandates

  • Relational Bedrock Engineering (3NF Rigor) We restore absolute structural discipline down to the physical storage layer. By cleaning legacy environments and normalizing your data architecture, we slash the compute volume your AI models are forced to scan.

  • Operational AI FinOps & Compute Control We step in to analyze, map, and halt hidden database financial leaks. By building rigid cost-containment guardrails around your data footprint, we eliminate volatile billing spikes while preserving system speed.

  • Deterministic Logic Barriers (Metrics-as-Code) We construct mandatory semantic barriers between raw data silos and downstream intelligence tools. By locking corporate logic into deterministic layers, your data speaks with one source of truth.

How We Engage: The Agent Readiness Audit

We do not begin with speculative, open-ended consulting agreements. We begin with a hyper-focused, 30-day tactical diagnostic designed to map your liabilities, quantify your cloud waste, and benchmark your structural readiness for automation.

The Concrete Deliverables:

  • Infrastructure Vulnerability Report: A line-by-line breakdown of hidden database inefficiencies and compute-heavy query risks.

  • The Remodeling Roadmap: An engineering-first blueprint detailing the exact relational changes required to make your estate ready for AI.

Following the 30-day diagnostic, most organizations seamlessly transition into a predictable, monthly Fractional CDO retainer model to have our firm oversee and execute the remediation roadmap.

A man with a dark beard and a bald head, dressed in a black pinstripe suit and light blue shirt, looking directly at the camera.

Dr. Malik Al-Amin, DIT

Chief Data Officer & Decision Architect

I don't look at corporate data through the lens of speculative AI trends. I look at it through the lens of operational asset preservation.

As a veteran database administrator, senior dimensional modeler, and enterprise data director across Tier-1 healthcare and corporate finance environments, I bring institutional maturity to modern data strategies. Operating as your Fractional CDO, my mission is to install the enterprise-grade rigor, compliance, and financial predictability required to transform data from a volatile infrastructure cost into a compounding market advantage

Advisory Mandates and Board-Level Engagements by Invitation.

For strategic engagements, board advisement, or executive-level transformation initiatives:

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