OVERVIEW
In 2026, the transition from experimental POCs to mission-critical Agentic AI requires a fundamental shift: connecting autonomous agents directly to enterprise APIs, legacy apps, and data systems. Scaling these agents has exposed five critical friction points that threaten enterprise adoption:
- Latency & Performance Taxes: Delays in retrieving data from legacy systems.
- Context Bloat: Irrelevant data in context, decreases accuracy as context windows become overloaded.
- Escalating Costs: Rising token consumption and high-compute API expenses.
- Security & Compliance: Complex hurdles in managing identity and data sovereignty.
- Integration Gaps: Difficulties connecting AI frameworks to "stiff" legacy architectures.
To overcome these challenges, organizations must revitalize their platforms with an AI-native integration layer. Key solutions include:
- AI-Native APIs & Caching: Purpose-built AI APIs and intelligent caching to optimize speed and reduce costs.
- Data Masking & Redaction: Ensuring PII is scrubbed before reaching the model to maintain compliance.
- Granular Access Control: Defining exactly what an agent can and cannot do within sensitive systems.
- Enhanced Observability: Real-time monitoring of agent reasoning paths to ensure reliability.
Red Hat OpenShift provides the essential foundation for this transformation. By leveraging its hybrid cloud capabilities, enterprises can address these bottlenecks within a standardized, secure, and scalable environment. This ensures AI agents move beyond isolated experiments to become integrated drivers of real-world business value.
What You'll Learn in This Webinar
Join our Red Hat technology experts to learn how to succeed in your Agentic AI journey, moving from pilots to business applications powered by Agentic AI.
✅Challenges in connecting Agents to Enterprise Apps and Data systems.
✅ 5 Frictional points covering these challenges.
✅ Architecture best practices to address these challenges.
✅ How Red Hat OpenShift platform can act as a foundation for Enterprise Agentic AI success.
Questions? Please reach out to Gareth Liew.
Ahilan Ponnusamy
APP Platform specialist, APAC, Red Hat
Ahilan is a go-to-market specialist for App Platform in APAC. He has more than 22 years of global work experience in middleware and cloud-native technologies across Europe, the U.S., and APAC. In his current role, Ahilan supports sales and architecture teams to deliver Red Hat solutions that address customers' immediate and long-term goals with open hybrid cloud architecture.
Vincent Caldeira
Chief Technology Officer, APAC, Red Hat
Vincent Caldeira, Red Hat APAC CTO and Industry Visiting Scholar at Columbia University, drives tech strategy and emerging technology engineering. A Top 10 APAC CTO (2023) with 20+ years in finance IT, he is an authority on open source, cloud-native technologies and AI. Vincent holds leadership roles across the Linux Foundation (FINOS, LF AI & Data) and GSF, championing AI safety, sustainability, and digital sovereignty.