Empowering Data-Driven Strategy Through Managed Platforms
Data & AI Advisory Services
Unlock the full potential of your data and AI investments with a strategic,
execution-ready approach that blends technical rigor with organizational savvy. From aligning leadership around scalable AI
architectures to fast-tracking high-impact use cases, we help you cut through complexity with clarity
by designing future-proof platforms that delivering agility, maturity, and measurable ROI.

Leadership Alignment & Strategic Enablement
We help lay the groundwork by bringing leadership with experience in big data projects, enterprise management and engineering culture.
- Data & AI Strategy Roadmapping
We work with the leadership team to align business outcomes with scalable data and AI architectures, emphasizing agility over ambition. In our standard engagement, we provide a 90-day action plan with prioritized initiatives, success metrics, and resource requirements. - AI Opportunity Framing & Prioritization
Incorporating AI solutions requires identifying high-value use cases based on real-world experience. We typically deliver a 2-week assessment where we develop a ranked opportunity portfolio using our structured feasibility + impact framework, designed for quick wins and sustainable ROI. - Fractional CDO/CTO-as-a-Service
We bring our experienced leadership to provide interim technical leadership and program acceleration which is ideal for transformation programs or early-stage data organizations. This is generally a 3-12 month engagement with defined transition and knowledge transfer plan.

Architecture & Platform Advisory
Let us provide our expert architectural guidance and pragmatic roadmaps to transform your current state into a manageable, scalable future state.
- Lakehouse & Data Mesh Readiness Assessment
We assess current state and design future-state reference architecture using medallion, data mesh or hybrid approaches tailored to your organization's scale and complexity. Our team will provide a technical blueprint with 6-month implementation roadmap - Pipeline & DAG Inventory & Optimization
We understand how systems interconnect, and how they can be retired gracefully. Leveraging our experienced team we explore legacy ETL tools and any existing Airflow DAGs to identify performance bottlenecks, unnecessary duplication, modularization opportunities, and AI automation targets. Typical results show 30-50% performance improvement and reduced maintenance overhead - Lineage, Observability, and Trust Framework
Evaluate and design implementation plans for OpenLineage, Astronomer Observe, and Unity Catalog lineage/metadata strategies that support governance at scale. Our goal is to provide complete observability strategy with implementation priorities and tooling recommendations

AI Governance Design
To succeed in big data and AI you need structures that coordinate the enterprise requirements, and you shouldn’t try to reinvent the wheel. We bring proven strategies to jumpstart your governance and organizational structure.
- AI and Data Center for Enablement (C4E) Blueprint
The Aribrx team brings proven structures for organizational patterns, reusable playbooks, and internal advocacy models that scale data & AI adoption across business and IT functions. We start with templates, processes, and success metrics and deliver a custom C4E that is tailored to your business needs. - DataOps Maturity Benchmarking
Use our proprietary framework to benchmark governance, orchestration, and reuse maturity—then build a 3-phase evolution plan. - Agentic AI Strategy & Enablement
We assess your enterprise’s readiness for agent-based systems and design scalable, role-driven multi-agent architectures that support powerful autonomous operations. We bring our DataOps-AI Capability Maturity Model scorecard, architectural blueprints, and a governance control plane that includes human-in-the-loop safeguards, auditability, and compliance frameworks. - LLM Agent Evaluation & Toolchain Selection
We help you compare different tools for building AI agents—like whether to use open-source or commercial platforms—and guide you on choosing the right systems for organizing data and storing knowledge. You'll get a clear side-by-side comparison with cost estimates and practical advice on what will work best for your needs.