VisionCast Spring 2026: Key Takeaways, A First Look at ChapsAgents, and more

How Enterprises Scale from AI Experiments to Agentic AI

VisionCast highlighted a critical industry inflection point: while many organizations remain stuck in the “Experimentation Trap,” ChapsVision’s ChapsAgents platform is designed to move enterprises beyond pilots and small rollouts to full-scale, production-ready agentic AI. Jeff Evernham, our Head of Innovation for Sinequa and ChapsAgents emphasized that only 23% of enterprises have begun deploying agentic AI in production, largely due to challenges in knowledge access, security, and governance.

The key insight? Success with agentic AI requires more than advanced models, it demands a robust foundation of enterprise knowledge, security, and governance.

Trustworthy Agentic AI: The New Gold Standard

A recurring theme was the necessity of trustworthy agentic AI. As enterprises seek to automate critical decisions and workflows, trust cannot be an afterthought. The risks of LLM hallucinations and cumulative errors in multi-step processes were underscored, with error rates compounding rapidly as complexity increases.

The Three Pillars of Trustworthy Agentic AI:

1. Reliability: Accurate, consistent agent performance, grounded in comprehensive, high-quality enterprise knowledge.
2. Security: Enforcement of permissions and data protection at every step, mirroring enterprise security models.
3. Observability & Governance: Full visibility and control over agent actions, with audit trails and policy enforcement.

Enterprises must prioritize platforms that embed reliability, security, and governance into the core of agentic AI—not as add-ons.

Advanced RAG: The Engine Behind Reliable Agents

Agentic Retrieval-Augmented Generation (RAG) emerged as the linchpin for trustworthy agentic AI. It was noted that the LLM is only “10%-20% of the RAG system”—the real value lies in how knowledge is retrieved, secured, and contextualized” (Rob Ferguson, Microsoft).

Advanced RAG in ChapsAgents goes beyond naive vector or keyword search, leveraging hybrid retrieval (statistical, lexical, semantic, graph, and multimodal) to ensure agents access the right information, at the right time, with the right permissions.

Practical Impact: With advanced RAG, agents become true digital teammates—capable of planning, deciding, and acting with enterprise-grade accuracy and compliance.

The ChapsAgents Platform: Unified, Secure, and Scalable

The pinnacle of the event was the launch and demo of ChapsAgents, our end-to-end solution for building, orchestrating, and monitoring an entire ecosystem of AI agents. Its architecture unifies:

• Sinequa’s deep enterprise search
• ChapsAgent’s orchestration and monitoring
• ArgonOS’s robust data processing, security, and governance
• A suite of tools for analytics, translation, enrichment, and integration

Here are the core capabilities of ChapsAgents you need to know:

• No-code Agent Builder: Build, test, and debug agents via natural language or visual flows—accessible to non-developers.
• Pre-Built & Custom Agents: Deploy from a library or create custom agents for specialized workflows.
• Orchestration & Integration: Automate multi-step workflows, integrate with 200+ enterprise apps, and trigger agents as needed.
• Security & Governance: Enforce permissions, encrypt data, audit actions, and apply cost guardrails.
• Observability: Monitor agent performance, trace actions, and align with business objectives.

Practical Guidance for Enterprise Adoption

The sessions at VisionCast, attendees even got a clear roadmap for adopting and capturing the value of Enterprise Agentic AI:

• Start with a strong enterprise AI search and RAG foundation.
• Pilot assistants on high-value, knowledge-heavy workflows.
• Layer in observability and governance from day one.
• Scale to autonomous agents and multi-agent systems as needs mature.
• Partner with experienced platforms to accelerate time-to-value

The Road Ahead is Closer Than Ever

The launch of ChapsAgents signals that agentic AI is no longer a distant vision—it is being realized today by organizations investing in the right foundations. The platform’s unified approach to knowledge, security, and orchestration positions enterprises to move confidently from pilots to production, unlocking the full potential of AI-driven transformation.

VisionCast Spring 2026 showcases how ChapsVision’s ChapsAgents platform is redefining what’s possible with enterprise agentic AI. We showed that trustworthy, governed, and reliable agentic AI is now within reach. Attendees saw how advanced agentic RAG and unified orchestration are crucial for success. And we highlighted real-world deployments, like Cummins, that prove the value at scale.

Enterprises ready to move beyond experimentation should assess their data and platform readiness, prioritize security and governance, and consider platforms like ChapsAgents to accelerate their agentic AI journey. If you’re ready to learn more, schedule a demo and mention ChapsAgents in your request.