Leap Velocity
Enterprise Data & AI Architecture Consulting
If you’re dealing with complexity, you’re in the right place.
Most organizations don’t need more tools — they need clarity on what actually matters. I work directly with leadership teams to fix, modernize, and scale data and AI platforms — helping teams make the right decisions before complexity becomes expensive.
With over 20 years of experience delivering enterprise-grade solutions, I personally lead every engagement, supported by a curated team of senior engineers and AI specialists. The focus is simple: avoid unnecessary complexity, eliminate costly missteps, and move forward with confidence.
Through Leap Velocity, I help organizations fix, modernize, and scale their data and AI platforms — enabling faster, smarter, and more reliable data and AI outcomes.
👉 Get a FREE second opinion on your current data or AI initiative. Schedule a focused 30-minute architecture conversation.
No sales pitch. Just a direct, expert point of view.
All initial conversations begin through the request form to help reduce spam and ensure requests are reviewed properly.
Why Leap Velocity?
Design and transformation of enterprise data platforms across cloud, lakehouse, and hybrid environments (AWS, Azure, GCP) — aligning architecture to measurable business outcomes, not just technology choices.
Creation of practical, scalable governance models across both data and AI — embedding data quality, model governance, ownership, and accountability into day-to-day operations.
Foundation modeling and building of AI, LLMs, and advanced analytics ensuring data is clean, trusted, and production-ready — not just available.
Modeling and design of enterprise-grade agents using Copilot, Foundry, and custom orchestration patterns — aligned to real business workflows, not demos.
Definition and implementation of MCP-based integration layers that connect agents to enterprise systems — enabling secure, scalable tool execution across platforms.
Help organizations move beyond experimentation — designing AI systems that are governed, reliable, and ready for real-world use at scale.
Disconnected data platforms that create inconsistency, delay decision-making, and erode trust in analytics.
AI and data initiatives that stall because the underlying data is unreliable, ungoverned, or misunderstood.
Over-engineered ecosystems with too many tools and no cohesive architecture, driving unnecessary cost and complexity.
Governance programs that look good on paper but fail in execution due to lack of adoption, ownership, and operational alignment.
Unnecessary data duplication across platforms that drives up cloud costs and fragments insights. I help eliminate redundant data movement and enable efficient cross-platform querying — maximizing performance while significantly reducing cloud spend.
AI security risks driven by unmanaged non-human identities (agents, copilots, and service principals). I help establish control over AI execution layers — securing agent behavior, enforcing access policies, and ensuring safe, governed interaction with enterprise systems.
I personally engage as a hands-on architecture partner — providing advisory, leadership, and targeted delivery support aligned to business priorities.
LinkedIn: John Nazal
Leap Velocity LinkedIn: Leap Velocity
If you're dealing with complex data challenges or need to move faster without unnecessary risk, submit a request through the architecture review form above and I’ll reach out directly.