Andrew Kumar
Global VP & Builder | AI Platforms & Ecosystems | ENTJ-A. Father.
Austin, Texas, United States
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Andrew builds powerful systems: AI platforms, digital ecosystems, and high performance human capability.
Andrew designs and scales AI powered platforms and ecosystems at Uniform and advise on AI strategy through the MACH Alliance, operating at the intersection of architecture, product, and execution. Beyond work, I lead and invest across KUMA Performance, Yellow Hat Media, Lumioso AI, and RegulationLayer.
Andrew values clarity over noise, restraint over hype, and mastery of systems, mind, and body.
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AI That Actually Matters in 2026
AI is reshaping digital experience platforms, but much of what’s marketed today won’t survive real-world scale. This session cuts through the noise to show what AI is actually changing in 2026, and what’s mostly hype. Most teams don’t fail at AI because of the technology, but because they apply it in the wrong places. You’ll leave knowing where AI creates real leverage; and where to confidently say no.
Small Print:
- Target audience: senior developers, architects, platform leads, and technical decision-makers working with CMS, headless, or composable stacks.
- Session format: technical and architectural, with real-world patterns and tradeoffs.
- Level: intermediate to advanced.
- First public delivery: yes.
- Preferred duration: 45 minutes (with Q&A).
Regulation Layer: From Chaos to Controls with an AI-First Approach to Digital Asset Compliance
Digital asset compliance is entering a new phase. Regulatory expectations are becoming clearer, more continuous, and more institutional, while most compliance programs remain manual, fragmented, and reactive.
This session explores why compliance is simple to describe but extremely difficult to implement correctly at scale. It introduces an AI-first and AI-honest approach to designing compliance systems that can support governance, monitoring, auditability, and regulatory confidence without slowing product development.
The GENIUS Act is referenced as one example of the broader shift underway, signaling that digital asset platforms are now expected to operate like regulated financial infrastructure rather than experimental technology. As these expectations harden, retrofitting compliance becomes expensive and risky.
The talk introduces the thinking behind Regulation Layer, an emerging AI-powered compliance platform focused on translating regulatory requirements into continuous controls, automated evidence, and real-time visibility.
This session is intended for teams building institutional-grade digital asset systems in 2026 and beyond.
Small print:
- Target audience: Founders, compliance and risk leaders, operations teams, CTOs, product and engineering leaders, financial institutions
- Session style: Interactive, minimal slides
- Session length: 30 to 45 minutes
- First public delivery: Yes
- Key themes: Digital asset regulation, AI-first compliance, scalable controls, RegTech
Composable at the Core, Agentic by Design: How Enterprises Are Building the Internet of Agents
Agentic AI is moving fast, but enterprise adoption is lagging behind the hype.
Most organizations are experimenting with copilots and isolated agents, yet very few have a clear path to production-ready, enterprise-scale systems. The challenge is not models or tools. It is architecture, governance, and ecosystem coordination.
In this session, we explore how agentic AI is becoming a core operating layer of modern digital systems when it is Composable at the Core and Agentic by Design. We will look at how agents are evolving from standalone assistants into modular, goal-driven components that operate across composable architectures, collaborate across vendors, and integrate into real enterprise environments.
Drawing on real ecosystem work across platforms, agencies, ISVs, and infrastructure providers, this talk breaks down what it actually takes to move from experimentation to execution. We will cover reference architectures, multi-agent collaboration patterns, governance considerations, and the emerging Internet of Agents.
Attendees will leave with a practical mental model for how agentic systems fit into MACH-aligned stacks, what needs to be true for enterprise adoption, and how ecosystems can reinvent together without creating new forms of lock-in.
Small print:
- Target audience: Enterprise architects, platform leaders, CTOs, CDOs, product leaders, and senior engineers evaluating or building agentic AI systems
- Session level: Intermediate to Advanced
- Key takeaways: How multi-agent, cross-vendor systems actually work in practice
- Session format: 45-minute talk with optional Q&A
- First public delivery: yes
- Technical requirements: Standard presentation setup. No live demo required, but visuals and architecture diagrams included.
Andrew Kumar
Global VP & Builder | AI Platforms & Ecosystems | ENTJ-A. Father.
Austin, Texas, United States
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