How AI Code Fails at Scale and What Your Team Can Do About It

AI coding tools promise faster development, but without proper oversight, speed becomes a liability. When Amazon and Microsoft both faced major production failures from AI-assisted code, the lesson was clear: code generation is not the same as code understanding.

This white paper examines real-world incidents where AI-generated code passed initial checks but caused cascading system failures - and what engineering leaders can do to prevent it.

In this white paper, you'll learn:

  • Why AI-generated code looks reliable but fails under production complexity
  • Three critical AI programming limitations every dev team should understand
  • How unchecked speed leads to cascading production failures
  • A practical governance framework for safely integrating AI tools into your development workflow

Whether you're evaluating AI coding tools or already using them, this guide gives you the clarity to move fast without breaking production.

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How to Deploy Agentic AI on the Shop Floor—and Scale with Confidence

Ready to move beyond AI pilots? As manufacturing grows more complex and unpredictable, traditional approaches can’t keep up. Before scaling AI, organizations need the right foundation to turn data into real-time, actionable decisions.

In this IDC PeerScape report, discover how manufacturers are deploying agentic AI to connect people, machines, and data—enabling smarter, faster decisions directly on the shop floor. Learn how to move from isolated use cases to a more resilient, adaptive operation.

You’ll learn how to:

  • Turn fragmented data into real-time, guided actions for operators
  • Augment frontline workers with AI-driven decision support
  • Optimize production, scheduling, and resources continuously
  • Automate quality and workflows with intelligent, closed-loop processes

If you’re exploring AI—or ready to scale—it provides a practical roadmap to transform operations and build a more resilient manufacturing business.

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The #1 ERP for Mixed Mode Manufacturing

Manufacturers face numerous challenges, especially when operating in a mixed mode environment:

  • Complex production schedules
  • Supply chain volatility
  • Outdated legacy systems

By treating these as interconnected issues, manufacturers can gain a competitive advantage.

Access this G2 Grid® Report for Mixed Mode ERP to see why Epicor Kinetic, the AI-powered ERP, is rated the #1 solution for mixed mode manufacturers in the mid-market.

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How a Leading Health System Simplified Employee Benefits

See how Healthee helped a leading health system increase HDHP enrollment by 38.9% and drive a 210% surge in benefits engagement—all in just 42 days.

With a massive, diverse workforce—from desk-bound admins to front-line providers—this leading health system faced a classic benefits paradox: too many options, not enough clarity. HDHP adoption led to overinsurance, while fragmented communication left the team overwhelmed with over 21,000 manual inquiries.

The leading health system partnered with Healthee to deploy Zoe, an AI benefits assistant. In a record-breaking 6-week rollout, Healthee simplified the complex:

  • Personalized Guidance: Achieved a 210 percent rise in total enrollment inquiries.
  • Frictionless Enrollment: A 16.7% increase in total completed enrollments.
  • Educated Choice: Significant enrollment growth across all voluntary benefits, including a 16.7% lift in Hospital Indemnity.
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Unlocking AI’s Potential Through Context Management

Context engineering was supposed to solve AI’s scalability challenges. Teams are building RAG pipelines, crafting prompt templates, and implementing memory systems—each application starting from scratch. As AI scales organization-wide, these tactical approaches hit fundamental limits: fragmented systems, inconsistent outputs, and no organizational context intelligence.

This keynote explores the essential building blocks of an enterprise context platform and introduces context management as the emerging discipline that changes how organizations approach this challenge.

Key Takeaways:

  • Understand the fundamental differences between metadata for humans and context for AI agents
  • Learn why current context engineering approaches create compounding technical debt that kills enterprise AI scaling
  • Discover the emerging architectural pattern that transforms context from bottleneck to competitive advantage
  • Explore the transformative possibilities that context management will unlock for enterprise AI
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Unlocking AI’s Potential Through Context Management

Context engineering was supposed to solve AI’s scalability challenges. Teams are building RAG pipelines, crafting prompt templates, and implementing memory systems—each application starting from scratch. As AI scales organization-wide, these tactical approaches hit fundamental limits: fragmented systems, inconsistent outputs, and no organizational context intelligence.

This keynote explores the essential building blocks of an enterprise context platform and introduces context management as the emerging discipline that changes how organizations approach this challenge.

Key Takeaways:

  • Understand the fundamental differences between metadata for humans and context for AI agents
  • Learn why current context engineering approaches create compounding technical debt that kills enterprise AI scaling
  • Discover the emerging architectural pattern that transforms context from bottleneck to competitive advantage
  • Explore the transformative possibilities that context management will unlock for enterprise AI
View Now

Unlocking AI’s Potential Through Context Management

Context engineering was supposed to solve AI’s scalability challenges. Teams are building RAG pipelines, crafting prompt templates, and implementing memory systems—each application starting from scratch. As AI scales organization-wide, these tactical approaches hit fundamental limits: fragmented systems, inconsistent outputs, and no organizational context intelligence.

This keynote explores the essential building blocks of an enterprise context platform and introduces context management as the emerging discipline that changes how organizations approach this challenge.

Key Takeaways:

  • Understand the fundamental differences between metadata for humans and context for AI agents
  • Learn why current context engineering approaches create compounding technical debt that kills enterprise AI scaling
  • Discover the emerging architectural pattern that transforms context from bottleneck to competitive advantage
  • Explore the transformative possibilities that context management will unlock for enterprise AI
View Now

How a Leading Health System Simplified Employee Benefits

See how Healthee helped a leading health system increase HDHP enrollment by 38.9% and drive a 210% surge in benefits engagement—all in just 42 days.

With a massive, diverse workforce—from desk-bound admins to front-line providers—this leading health system faced a classic benefits paradox: too many options, not enough clarity. HDHP adoption led to overinsurance, while fragmented communication left the team overwhelmed with over 21,000 manual inquiries.

The leading health system partnered with Healthee to deploy Zoe, an AI benefits assistant. In a record-breaking 6-week rollout, Healthee simplified the complex:

  • Personalized Guidance: Achieved a 210 percent rise in total enrollment inquiries.
  • Frictionless Enrollment: A 16.7% increase in total completed enrollments.
  • Educated Choice: Significant enrollment growth across all voluntary benefits, including a 16.7% lift in Hospital Indemnity.
View Now

Unlocking AI’s Potential Through Context Management

Context engineering was supposed to solve AI’s scalability challenges. Teams are building RAG pipelines, crafting prompt templates, and implementing memory systems—each application starting from scratch. As AI scales organization-wide, these tactical approaches hit fundamental limits: fragmented systems, inconsistent outputs, and no organizational context intelligence.

This keynote explores the essential building blocks of an enterprise context platform and introduces context management as the emerging discipline that changes how organizations approach this challenge.

Key Takeaways:

  • Understand the fundamental differences between metadata for humans and context for AI agents
  • Learn why current context engineering approaches create compounding technical debt that kills enterprise AI scaling
  • Discover the emerging architectural pattern that transforms context from bottleneck to competitive advantage
  • Explore the transformative possibilities that context management will unlock for enterprise AI
View Now

Why Models Are the Only Way to Scale Software Delivery Toolchain Integration

Discover how model-based integration simplifies complex software delivery at scale, empowering enterprises to drive efficiency, speed, and collaboration.

Enterprise software delivery demands a unified integration strategy to connect every tool and team. With no single tool managing the entire process, businesses need a robust solution that synchronizes critical systems. Model-based integration accelerates timelines, optimizes data flow, and simplifies collaboration across complex, enterprise environments.

While traditional point-to-point integrations may suffice in smaller setups, they fall short in the face of enterprise-level complexity. This is where model-based integration shines—a more advanced approach specifically designed to meet the demands of large-scale software delivery.

This whitepaper will cover:

  • The strategic advantages of toolchain integration
  • Why point-to-point solutions struggle to scale in enterprise environments
  • An introduction to model-based integration and its operational benefits
  • How model-based integration supports dynamic, scalable connections

Learn how model-based integration can streamline your operations, enhance data integrity, and empower your organization to maintain its competitive edge.

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Transform Your Transportation Management Challenges into Seamless Solutions with EnVision TMS from TruckMaster

Simplify your transportation operations with EnVision TMS from TruckMaster—a powerful, all-in-one platform designed to eliminate inefficiencies, reduce manual tasks, and boost visibility across your fleet. Say goodbye to disconnected systems and constant status check-ins. With features like automated billing, real-time tracking, mobile access, and smart load assignment, TruckMaster transforms complexity into clarity.

Built to grow with your business, EnVision delivers robust automation, seamless integrations, and unmatched support from a team that knows the industry inside and out. Whether you’re managing a small fleet or scaling a logistics operation, TruckMaster empowers you to operate smarter, faster, and with complete confidence.

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Maximizing Efficiency & Profitability: The TruckMaster Advantage in Transportation Management

In today’s demanding logistics landscape, efficiency and visibility are essential. Maximizing Efficiency & Profitability: The TruckMaster Advantage in Transportation Management explores how TruckMaster's powerful TMS platform helps trucking companies, freight brokers, and shippers streamline operations, reduce errors, and automate workflows—from dispatch and tracking to billing and payroll.

Designed for fleets of all sizes, TruckMaster offers real-time freight visibility, seamless integrations, and customizable web portals—all at a fraction of the cost and wait time of traditional TMS providers. Learn how TruckMaster boosts productivity, improves ROI, and adapts to the evolving transportation industry.

Get Whitepaper

Transform Your Transportation Management Challenges into Seamless Solutions with EnVision TMS from TruckMaster

Simplify your transportation operations with EnVision TMS from TruckMaster—a powerful, all-in-one platform designed to eliminate inefficiencies, reduce manual tasks, and boost visibility across your fleet. Say goodbye to disconnected systems and constant status check-ins. With features like automated billing, real-time tracking, mobile access, and smart load assignment, TruckMaster transforms complexity into clarity.

Built to grow with your business, EnVision delivers robust automation, seamless integrations, and unmatched support from a team that knows the industry inside and out. Whether you’re managing a small fleet or scaling a logistics operation, TruckMaster empowers you to operate smarter, faster, and with complete confidence.

Get Whitepaper

Maximizing Efficiency & Profitability: The TruckMaster Advantage in Transportation Management

In today’s demanding logistics landscape, efficiency and visibility are essential. Maximizing Efficiency & Profitability: The TruckMaster Advantage in Transportation Management explores how TruckMaster's powerful TMS platform helps trucking companies, freight brokers, and shippers streamline operations, reduce errors, and automate workflows—from dispatch and tracking to billing and payroll.

Designed for fleets of all sizes, TruckMaster offers real-time freight visibility, seamless integrations, and customizable web portals—all at a fraction of the cost and wait time of traditional TMS providers. Learn how TruckMaster boosts productivity, improves ROI, and adapts to the evolving transportation industry.

Get Whitepaper

Mastering Construction Estimating and Scheduling: A Guide for Home Builders

In the intricate world of home construction, timing is everything.

Whether you’re a newcomer to the industry or a seasoned builder, understanding how to effectively schedule people, materials, and equipment can make or break a project.

In this eBook, we’ll show you how you can master your estimating and scheduling, giving you more time and greater control of your business.

You’ll learn:

  • How being preparation is key to a successful project;
  • The ripple effect a quality schedule has on all aspects of a project;
  • How you can use software to take complete control of your estimating and scheduling.

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