AI Powered EA (Enterprise Architecture) with Ian Stendera
Ways of Working
Business Acumen
WEBINAR: AI Powered EA (Enterprise Architecture)
In partnership with Mana'olana International and AEA-Hawaii Chapter
Date: October 14, 2026 12:00 noon to 1:00PM Hawaii Time
Duration: 1 PDU = 0.5 Ways of Working + 0.5 Business Acumen (1 hour)
SESSION DESCRIPTION
Artificial intelligence is shifting Enterprise Architecture (EA) from static documentation to a dynamic decision engine. Today, AI ingests live inputs from cloud, ITSM, and code repos to map applications, dependencies, and tech debt automatically. Beyond automating workflows, AI enables predictive scenario planning and positions EAs to govern AI agent sprawl and shadow AI. This allows EAs to stop documenting and start deciding, freeing up 40% of their time to focus on critical decisions. Technology platforms have pivoted from legacy relational databases, relying on basic AI wrappers, toward flexible, graph-native architectures that ground AI in full enterprise context. In this session, Ian will unpack this shift, sharing how AI elevates architects from documentation managers to strategic partners. He will explore practical ways EAs can automate routine governance and highlight how graph-based EA foundations deliver real-time enterprise intelligence without manual overhead.
LEARNING OBJECTIVES
- The skills and knowledge that a participant can expect to acquire after attending your session - the "Take-Aways." List at least 2 and up to 5 learning objectives for your proposed session. Limited to 1000 characters.
- Reframe AI Strategy in EA: Understand how AI transforms Enterprise Architecture from static, manual documentation into a continuous, real-time decision engine.
- Automate Core Architectural Workflows: Identify key opportunities where AI can automate application mapping, dependency tracking, technical debt discovery, and scenario planning.
- Establish AI Governance & Guardrails: Learn practical strategies for using EA as a central control plane to manage AI agent sprawl, mitigate shadow AI risks, and enforce security guardrails.
- Evaluate Modern vs. Legacy EA Platforms: Contrast traditional, rigid relational architecture models with modern, graph-native foundations to evaluate platform capabilities for AI reasoning and contextual intelligence.
SPEAKER: Ian Stendera, Chief Product Officer, Ardoq
Ian Stendera is Chief Product Officer and a founding team member at Ardoq, a global leader in Enterprise Architecture. Having built and led teams across Sales, Marketing, Customer Success, and Product over the past 10+ years, Ian brings an end-to-end perspective on aligning technology with business outcomes. Today, he drives Ardoq’s product strategy, focusing on translating AI-first capabilities into measurable value for enterprise architecture and transformation teams. Ian is dedicated to helping organizations simplify complex digital landscapes to execute strategy effectively.
