How can regulated enterprises move agentic AI from pilot to production across critical business workflows — while meeting the governance, compliance, and operational trust requirements that enterprise-scale demands?
Agentic AI has rapidly become an enterprise priority...but the conversation has evolved and shifted. The challenge is no longer whether to adopt AI, but how to operationalize autonomous systems that execute critical business processes: customer service workflows, document processing, underwriting, loan origination, claims handling, and other governed operations where accuracy, auditability, and human oversight are non-negotiable. This is distinct from personal productivity tooling. While AI assistants have transformed individual workflows, scaling agentic AI across an enterprise means building and governing systems that make decisions, take actions, and operate within complex regulatory environments — often with human-in-the-loop or human-on-the-loop controls. The infrastructure, architecture, and governance demands are fundamentally different.
Many organizations that have moved beyond experimentation are now encountering a new set of challenges: getting autonomous agents through governance and compliance approval processes, managing operational risk across distributed AI systems, meeting evolving regulatory requirements such as the EU AI Act and NIST AI guidance, and ensuring explainability and containment at transaction scale. Successfully scaling agentic AI requires platforms and operating models that support governance by design, transaction-level resilience, enterprise-wide consistency, and sovereignty requirements.
Join industry peers as we explore how organizations are building the strategies, infrastructure, and governance frameworks needed to move from AI experimentation to enterprise-scale execution. Together we'll explore how leading organizations are proving that embedded governance is not a barrier to innovation, rather it is the foundation for deploying agentic systems reliably and responsibly at scale.
Speakers
Tyler Jewell
About Akka
Akka is the agentic systems platform built for reliability, risk control, and repeatability at enterprise scale. Delivering a full-stack solution that unifies developer experience, runtime, and governance, Akka enables organizations to move agentic AI from prototype to production with a 99.9999% availability guarantee, sub-10ms memory, and runtime-embedded policy enforcement aligned to new AI regulations. Proven over 18 years across more than 100,000 deployments, Akka powers applications touched by more than 2 billion people daily and is trusted by leading enterprises including Manulife, Morgan Stanley, Air Canada, John Deere, Verizon, and Fox. Learn more at akka.io.
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