Making Agentic AI Enterprise-Ready: The Memory and Context Challenge

Name: Making Agentic AI Enterprise-Ready: The Memory and Context Challenge
Start: 2026-04-30T17:00:00-07:00
End: 2026-04-30T20:00:00-07:00
Location: San Francisco

Date: 2026-05-01
Location: San Francisco, CA, USA
Host: Capgemini Applied Innovation Exchange, San Francisco

About this event

Agentic AI is moving quickly from demos to real operational use, but enterprise teams are running into the same hard question: how do you build systems that can act autonomously without losing track of context, intent, and institutional knowledge? This event is designed for people who want to move past the hype and get practical about the memory and context challenges that determine whether agentic AI is reliable in production or fragile in practice. In San Francisco, we’ll bring together builders, technical leaders, and curious operators for an in-person conversation about what it actually takes to make agentic AI enterprise-ready. If you’re thinking seriously about long-running agents, multi-step workflows, persistent memory, context management, or the human systems around them, this is the room you want to be in. About the Event This event focuses on one of the most important bottlenecks in enterprise AI today: giving agents the right memory and context to operate effectively over time. It is easy to build an agent that looks impressive in a controlled environment. It is much harder to build one that can maintain continuity, make grounded decisions, and behave predictably across messy real-world business processes. The discussion will center on the gap between short-lived AI interactions and enterprise-grade autonomy. Memory is not just a technical feature. It shapes personalization, task continuity, auditability, trust, and system performance. Context is not just prompt stuffing. It requires thoughtful design around retrieval, state, permissions, workflows, and organizational constraints. Expect an in-person gathering that combines insight-sharing with real conversation. Rather than staying at the level of buzzwords, the event is built to help attendees examine practical tradeoffs: what kinds of memory matter, how much context is enough, where systems fail, and what teams are learning as they push toward more capable autonomous behavior. Because the event is tagged across AI, agentic systems, autonomy, community, and networking, it is also meant to be a place where different perspectives meet. You may come from engineering, product, research, infrastructure, or operations, but the shared focus is the same: making AI systems more useful, more dependable, and more aligned with enterprise reality. What to Expect You can expect a structured conversation around the core design and operational questions behind enterprise-ready agentic AI. The event will likely appeal most to people who want substance: how memory is stored and retrieved, how context is assembled, how agents maintain state across tasks, and how teams evaluate whether an autonomous system is actually improving outcomes. Topics attendees are likely to explore include: Memory design choices for agents that need continuity across interactions or workflows Context management strategies that balance relevance, cost, latency, and accuracy Enterprise constraints such as governance, reliability, privacy, permissions, and traceability Failure modes when agents forget, hallucinate, overreach, or lose the thread across multi-step tasks Architectural patterns for connecting models, tools, retrieval systems, and workflow state Open questions around evaluation, handoffs, and the line between autonomy and control Beyond the core discussion, this is also a community and networking event. That matters because many of the hardest lessons in this space are not yet written up cleanly in public. Some of the most valuable takeaways come from hearing how other teams are framing the same problems, what assumptions they have tested, and where they are still stuck. You should also expect room for peer-to-peer exchange. Whether you are actively shipping agentic systems or still defining your roadmap, the event is designed to support both learning and connection. Conversations in the room may help you sharpen your own technical approach, pressure-test your product instincts, or find others working through similar implementation challenges. Why Attend If you work on AI systems in an enterprise setting, memory and context are no longer edge concerns. They sit at the center of whether an agent can complete useful work consistently. Attending gives you a chance to engage directly with one of the field’s most consequential design problems, in a format that prioritizes relevance over theory for theory’s sake. You’ll leave with a clearer picture of what “enterprise-ready” really demands from agentic AI. That includes not only model capability, but also statefulness, retrieval quality, workflow awareness, guardrails, observability, and organizational fit. This event is especially valuable if you are trying to bridge the gap between experimental prototypes and systems that real teams can trust. There is also strong value in the room itself. San Francisco continues to be a dense gathering point for AI builders and decision-makers, and being in person creates better opportunities for nuanced discussion than a generic online session. If you want to compare approaches, ask pointed questions, and meet people who are serious about shipping useful autonomous systems, this event offers the right setting. Most of all, this event helps you focus on what matters now. Not whether agents are interesting, but what it takes to make them dependable. Not whether memory sounds important, but how it changes architecture and outcomes. Not whether context can be expanded, but how it can be managed intelligently within enterprise constraints. Practical Details This is an in-person event in San Francisco, USA. The in-person format is a meaningful part of the experience: it supports more candid technical discussion, better follow-up conversations, and stronger networking than a purely virtual gathering typically allows. The event takes place on Thursday, April 30 at 5:00 PM PDT. An early evening start makes it accessible for local attendees coming from the workday and well suited to a gathering that blends thoughtful discussion with community connection. A few reasons the format works well: You can meet peers face-to-face and continue conversations beyond the formal session You can ask deeper questions in a setting that supports back-and-forth discussion You can connect across functions with people thinking about enterprise AI from different angles You can stay grounded in practical realities rather than surface-level trends If this topic is close to your work, it is worth making time for. Come ready to listen closely, share your perspective, and leave with a sharper understanding of how memory and context shape the future of agentic AI in the enterprise.

Who should attend

This is for you if you care about moving agentic AI from promising prototype to dependable enterprise system. - **You’re an AI engineer, ML engineer, or software engineer** working on agents, retrieval, orchestration, or production AI systems and want stronger thinking around memory, context, and state. - **You’re a product manager or technical product leader** figuring out where agentic workflows can create real business value and what operational constraints will shape the roadmap. - **You’re an architect, platform, or infrastructure leader** responsible for reliability, governance, permissions, observability, or the systems that need to support autonomous behavior at scale. - **You’re exploring enterprise AI strategy** and want a more grounded understanding of what makes autonomous systems trustworthy, maintainable, and useful in real organizations. - **You’re a founder, researcher, or operator** building in the agentic AI space and want candid conversations with others tackling similar design tradeoffs. - **You value smart in-person networking** with people who are serious about AI implementation, not just high-level commentary. If you have been asking how agents remember, how they stay grounded, and how they operate safely inside enterprise workflows, you’ll likely get a lot out of this room.