● Live Webinar · August 5 · 2:00 PM ET 

How to Take AI from Investment to Production Impact

95% of AI pilots fail to create real business impact. This is about what the 5% do differently

Most organizations are failing because they skip the discipline, at the strategic level before they start, and at the level where things are built.


Here two e-Core experts cover both layers.

With Martin Druda & Rosangela Fritscher

e-Core North America

● Live Webinar · August 5 · 2:00 PM ET 

How to Take AI from Investment to Production Impact

95% of AI pilots fail to create real business impact. This is about what the 5% do differently. 

Most organizations are failing because they skip the discipline, at the strategic level before they start, and at the level where things are built. 


Here two e-Core experts cover both layers.

With Martin Druda & Rosangela Fritscher e-Core North America

What the 5% do differently

The gap between pilots and production

95%

of AI pilots fail at production scale

74%

of executives report ROI

52%

already run agents in production

88%

positive ROI from the right deployments

partner-led success vs internal builds

What the 5% do differently

The gap between pilots and production

95%

of AI pilots fail at production scale

74%

of executives report ROI

52%

already run agents in production

88%

positive ROI from the right deployments

partner-led success vs internal builds

What the 5% do differently

The gap between pilots and production

95%

of AI pilots fail at production scale

74%

of executives report ROI

52%

already run agents in production

88%

positive ROI from the right deployments

partner-led success vs internal builds

Meet the speakers

Two practitioners. Both sides of the AI gap.

Martin Druda

Cloud Strategy and AI Solutions, e-Core North America

With over 25 years of technology leadership, Martin specializes in bridging the gap between complex technical architecture and executive business strategy. He has led large-scale digital transformations for global organizations in the entertainment, logistics, and financial services sectors.


At e-Core, Martin works with enterprise leaders navigating the pressure to operationalize AI investments — helping them move from expensive pilots to systems that create measurable business impact.

Rosangela Fritscher

Head of Delivery, e-Core North America

With more than 30 years in the IT industry, Rosangela has built her career on both sides of the table — starting in technical roles in Application Development and, for the past 15 years, leading teams and organizations at the executive level.


Today, she heads Delivery for e-Core's North America region, where she guides engagements across application development, support operations, cloud/AI solutions, and enterprise tooling implementations. Her focus is helping engineering leaders translate AI investment into real, sustained production impact.

Meet the speakers

Two practitioners. Both sides of the AI gap.

Martin Druda

Cloud Strategy and AI Solutions, e-Core North America

With over 25 years of technology leadership, Martin specializes in bridging the gap between complex technical architecture and executive business strategy. He has led large-scale digital transformations for global organizations in the entertainment, logistics, and financial services sectors.


At e-Core, Martin works with enterprise leaders navigating the pressure to operationalize AI investments — helping them move from expensive pilots to systems that create measurable business impact.

Rosangela Fritscher

Head of Delivery, e-Core North America

With more than 30 years in the IT industry, Rosangela has built her career on both sides of the table — starting in technical roles in Application Development and, for the past 15 years, leading teams and organizations at the executive level.


Today, she heads Delivery for e-Core's North America region, where she guides engagements across application development, support operations, cloud/AI solutions, and enterprise tooling implementations. Her focus is helping engineering leaders translate AI investment into real, sustained production impact.

What you'll learn

Six shifts that move AI from spend to impact

Expand each to see what we'll cover.

  • The investment paradox

    74% of executives report ROI. 95% of pilots fail at production scale. Why the gap exists — and what it reveals about how most organizations measure AI success.

  • The pre-investment framework

    The decisions that filter high-ROI initiatives from expensive experiments, before technology is selected.

  • Agentic AI in production

    52% of organizations already have agents running. What the deployments generating 88% positive ROI have in common.

  • Governance as competitive advantage

    How to build a trust architecture that accelerates deployment instead of blocking it.

  • Build, buy, or partner?

    Partner-led implementations succeed at twice the rate of internal builds. The decision framework behind that gap.


  • AI-native engineering in practice

    What Spec-Driven Development actually looks like, and how a small team shipped a market-ready product in ~3 months with ~30% overall productivity gains and up to 60% on targeted tasks.

Ready to close the gap?

Save your seat for August 5 — spots are limited.

What you'll learn

Six shifts that move AI from spend to impact

Expand each to see what we'll cover.

  • The investment paradox

    74% of executives report ROI. 95% of pilots fail at production scale. Why the gap exists — and what it reveals about how most organizations measure AI success.

  • The pre-investment framework

    The decisions that filter high-ROI initiatives from expensive experiments, before technology is selected.

  • Agentic AI in production

    52% of organizations already have agents running. What the deployments generating 88% positive ROI have in common.

  • Governance as competitive advantage

    How to build a trust architecture that accelerates deployment instead of blocking it.

  • Build, buy, or partner?

    Partner-led implementations succeed at twice the rate of internal builds. The decision framework behind that gap.


  • AI-native engineering in practice

    What Spec-Driven Development actually looks like, and how a small team shipped a market-ready product in ~3 months with ~30% overall productivity gains and up to 60% on targeted tasks.

Ready to close the gap?

Save your seat for August 5 — spots are limited.

Prepare for the session

Want to be prepared for the webinar?

The Whitepaper covers every topic in this session at full depth: the pre-investment decision framework, agentic AI use cases, governance architecture, data readiness, and the complete Executive Decision Checklist. 28 pages of frameworks, research, and practitioner perspective built from real enterprise deployments.


What's inside:


Why most AI pilots fail to reach production — and the operational gaps behind it


The characteristics of high-ROI agentic AI deployments across industries


Real case studies: real estate data, fintech accounting, on-demand delivery at 120M+ orders/month


The Executive Decision Checklist across Business Alignment, Security & Governance, and Organizational Readiness