From Pilot to Production: The AI Readiness Roadmap

 

WEBINAR, JUNE 3, 1PM ET|10AM PT

AI readiness is not achieved by working on isolated components in parallel. The sequencing of work matters deeply. AI capabilities must be built in a specific order because each foundational layer enables and stabilizes the next. When organizations leap directly into model deployment before establishing governance, information architecture, or knowledge engineering, the AI system will inevitably produce inconsistent, unsafe, or unscalable results.

This session examines how to build an AI readiness roadmap that sequences transformation activities correctly. Participants will learn how to conduct readiness assessments, prioritize workstreams, identify dependencies, and create a phased plan that minimizes risk while accelerating time to value.

The session introduces the AI Readiness Maturity Model, which evaluates organizational capabilities across four domains: Knowledge Readiness, Operational Readiness, Technical Readiness, and Governance Readiness. Participants will understand how to use the 74-question assessment framework to drive strategic investment decisions and avoid the common trap of building AI on unstable foundations.

This webinar is part of Earley’s 7-part AI Readiness Webinar Series.  View the full series overview →

 

Register
 

Key Topics

  • Why sequencing determines success: the correct order for AI transformation
  • The AI Readiness Maturity Model: four domains (Knowledge, Operational, Technical, Governance), five maturity levels
  • Conducting a readiness assessment: the 74-question framework
  • Prioritizing use cases based on value and readiness alignment
  • Building the roadmap: phases, milestones, dependencies, and resource requirements
  • The operating model for sustained AI governance and continuous improvement
  •  

Media Partner

VKTR (pronounced vector) Logo

VKTR (pronounced vector) is your guide to AI @ work. Sign up today, for free. 

 
Seth-Earley-CEO-Earley-Information-Science

Meet The Speaker

Seth Earley

CEO & Founder
Earley Information Science

An expert with 20+ years experience in Knowledge Strategy, Data and Information Architecture, Search-based Applications and Information Findability solutions.

Seth has worked with a diverse roster of Fortune 1000 companies helping them to achieve higher levels of operating performance by making information more findable, usable and valuable through integrated enterprise architectures supporting analytics, e-commerce and customer experience applications.

thomasblumer

Meet The Speaker

Thomas Blumer

Project Manager & Principal KM/AI/DAP Consultant
Earley Information Science

With over two decades of knowledge management (KM) experience, Thomas has been instrumental in integrating KM practices into Fortune 500 companies and spearheading transformation within software companies through the adoption of disruptive technologies such as Artificial Intelligence (AI) and Digital Adoption Platforms (DAP). Thomas's approach is characterized by a readiness to embrace challenges and a commitment to elevate businesses to their next level. His strategic vision and innovative methodologies have consistently delivered enhanced efficiency, productivity, and competitive advantage.

 

heather-eisenbraun-headshot

Meet The Speaker

Heather Eisenbraun

Chief Information Architect
Earley Information Science

With a remarkable track record spanning over two decades, Heather has transformed information retrieval accuracy by as much as 70% and slashed content search times by 60% for Fortune 500 companies, all through the clever application of strategic taxonomies, metadata schemas, and modular RAG implementations.

A Certified Knowledge Specialist in Business Taxonomy & Ontology, Heather is passionate about reimagining how organizations prepare content for success in the GenAI landscape—shifting the focus from traditional OCR to evolving documents into structured information resources. With her depth of expertise and visionary approach, Heather inspires audiences to rethink the future of enterprise knowledge management.