In this keynote analysis from Boomi World 2026, theCUBE's John Furrier and theCUBE + NYSE Wired's Gemma Allen break down CEO Steve Lucas's opening keynote and what it reveals about Boomi's ambition to become the AI control plane for the enterprise. Furrier highlights how Lucas reframed the company's integration heritage — not as legacy plumbing, but as the governance and orchestration foundation that agents need to operate at scale. Both analysts credit Lucas with delivering a deliberately unhyped, grounded take on what it actually takes to move enterprises from automation pilots to production-ready agentic workflows.

The conversation also explores Lucas's pointed rejection of the SaaS apocalypse narrative, illustrated by an iPhone-versus-iPod analogy that Furrier surfaced from a hallway conversation with Nest co-founder Matt Rogers. The parallel cuts cleanly: enterprises anchored to single-function SaaS tools risk the fate of the iPod, while platforms that absorb and extend that functionality stand to define the next era. Furrier and Allen also unpack Lucas's "referee" framing, which positions Boomi Orchestrate as the rules-enforcement layer separating principled agent governance from the hazards of shadow AI and unchecked vibe coding. From the nuances of system-of-record versus system-of-execution architecture to the go-to-market pressure Boomi faces as competitors race for the same control plane, the analysts outline why execution speed — not platform vision — will ultimately determine whether Boomi can translate its deep enterprise loyalty into leadership of the agentic era.

In this interview from Boomi World 2026, Steve Lucas, chairman and chief executive officer of Boomi, joins theCUBE's John Furrier and theCUBE + NYSE Wired's Gemma Allen to discuss the evolution of intelligent integration from back-office infrastructure into the orchestration and governance layer for enterprise AI. Lucas draws a sharp distinction from prior years: AI agents are no longer a preview — they are deployed and generating real ROI. He frames Boomi as the single harness across data, applications, APIs and AI models that organizations need to operationalize that momentum responsibly. Real deployments underscore the point: Lexitas has automated nearly 46% of its highly regulated payment processing with zero human involvement, while Multiquip now handles close to 80% of technical support queries through AI agents on the Boomi platform.

The conversation also explores how governance extends beyond rule enforcement to something more dynamic — tracking agent capabilities as they evolve and marshaling the right skills for each business process. Lucas details Boomi's three-part mission — building the connected enterprise, the automated enterprise and the agentic enterprise — and highlights the urgent prerequisite: data that is connected, consistent and contextual. He addresses the "liquid data" aspiration directly, acknowledging that legacy mainframes and ERP systems, still prevalent in 60-70% of enterprises, were never designed for real-time data delivery. The interview also unpacks a Red Hat OpenShift AI partnership that containerizes model runtimes alongside Boomi's data processing layer, giving organizations a path to privatize AI and build proprietary data graphs without exposing sensitive information to frontier model providers. From collapsing the traditional divide between engineering and business functions to preparing enterprises for a world where agents perform the vast majority of operational work, Lucas outlines why integration strategy is now the foundation of AI readiness.

In this interview from Boomi World 2026 in Chicago, Alison Biggan, chief marketing officer of Boomi, joins theCUBE's John Furrier and theCUBE + NYSE Wired's Gemma Allen to discuss how integration heritage is becoming Boomi's competitive edge in the race toward agentic AI. Biggan reflects on how Boomi's CEO mapped out the agentic AI landscape years before it materialized, shaping the company's current product roadmap and announcements. She describes Boomi's balancing act: honoring the trust of long-tenured customers while attracting new ones drawn by recent innovation, noting the company has grown its customer base by roughly 50% in three years — a sign that heritage and momentum can coexist.

The conversation also explores how Biggan's own team serves as a live proving ground for Boomi's platform philosophy. She details a shift from ad hoc AI experiments to a methodical, integrated strategy — using tools including Claude and Boomi agents to drive hyper-personalized go-to-market motions, from ICP segmentation to predicting churn risk via product data. Biggan also highlights the company's 330,000-member community as a key lever for peer-driven learning and customer advocacy. From championing a human-in-the-loop governance model to committing fully to the promise of data activation, she provides a roadmap for how enterprises can move beyond AI experimentation by ensuring clean data, connected systems and sound governance are in place before scaling.

In this interview from Boomi World, Nikhil Gauba, senior director of client AI and API strategy at Cognizant, joins Yogeshwar Pandey, chief architect and digital practice leader at Cognizant, and Eddy Montalvo, vice president of North America alliances and channels at Boomi, to talk with theCUBE's John Furrier about how intelligent integration is evolving from back-office plumbing into the orchestration layer for AI agents and enterprise-wide automation. Gauba argues that the rise of agentic ecosystems represents a fundamental shift in the business model — not just an IT pivot — forcing enterprises to rethink their operating models alongside their revenue strategies. Montalvo explains how Boomi is extending its connective tissue legacy into agentic connectivity, making its library of connectors accessible via MCP and repositioning the platform as a control plane for governing AI agents at enterprise scale.

The conversation also explores the mechanics of scaling agentic programs beyond isolated pilots, with Gauba and Pandey underscoring that success depends on measurable KPIs, well-defined agent scope and a governance framework spanning the full architectural stack. The panel breaks down the emerging discipline of token economics — noting that AI cost complexity will make cloud FinOps look straightforward — and advocates for small language models as a cost-effective alternative to frontier LLMs for most enterprise use cases. Montalvo highlights how Boomi's data activation capabilities give agents the contextual foundation they need to act intelligently without going rogue. From banking modernization driven by embedded finance to the growing imperative of human-in-the-loop governance as a core operational function, the discussion provides a practical roadmap for enterprises ready to move from AI experimentation to architecture-driven, measurable transformation.

In this interview from Boomi World 2026 in Chicago, Ann Maya, head of special projects at Boomi, joins Nicole Bradley, account executive at AWS, to talk with theCUBE's John Furrier and theCUBE + NYSE Wired's Gemma Allen about how intelligent integration is becoming the control plane for AI agents — and why governance by design is now central to enterprise AI strategy. Maya traces Boomi's evolution from an integration platform as a service into a multi-capability AI platform, noting that it now processes twice the transaction volume of Visa globally and was early to market with Agent Control Tower for agentic governance. She details how the platform has since expanded into API management and data context through Knowledge Hub and Meta Hub, with a next-generation runtime designed to run agents inside customer-controlled environments. Bradley adds that the Boomi-AWS partnership has shifted from periodic check-ins to near-daily collaboration — and reveals that AWS is now itself a Boomi customer.

The conversation also explores how Boomi Connect is redefining the shadow AI challenge by enabling governed vibe coding — giving business users authenticated, IT-controlled access to enterprise systems without the heavy-handed approval cycles of previous eras. Maya introduces "governance by design" as the organizing principle, arguing that organizations can only safely unlock AI potential when control is built in from the start, not bolted on afterward. She explains how Control Tower now tracks token and invocation data across all third-party agent providers and allows teams to kill a rogue agent or flag anomalies against an established baseline. Bradley highlights the AIDLC, an AI-led development lifecycle model under which one Boomi product went from inception to launch in four months. From navigating data sovereignty demands in Europe with a dedicated UK-based platform instance to turning 18 months of AI experimentation into revenue-generating outcomes, the discussion maps a practical roadmap for enterprises ready to move beyond the pilot stage.

In this interview from Boomi World 2026, Michael Bachman, head of research, Boomi innovation, at Boomi, joins theCUBE + NYSE Wired's Gemma Allen to discuss how the shift to agentic AI is demanding a fundamental rethink of enterprise integration and data strategy. Bachman spotlights Boomi's newly established AI Center of Excellence — a cross-functional team tasked with accelerating AI transformation across customers, partners and the company itself. He explains how "data activation" moves beyond traditional integration, making data contextual, clean and consequential for inference-based agentic systems operating where decisions actually happen — at the enterprise edge.

The conversation also explores how Boomi is addressing digital sovereignty by giving customers direct control over their own data paths across cloud, on-premises and hybrid environments to meet regional compliance requirements. Bachman breaks down the tension between speed and security — distinguishing build-time acceleration from execution-time performance — and teases major product announcements debuting at the conference. Looking further ahead, he shares his research watch list: world models purpose-built for inference-based decision making, IoT and OT convergence and the looming urgency of post-quantum encryption, warning that enterprises not quantum-ready when the first commercial quantum computer arrives — potentially within seven years — risk significant exposure. From reimagining data's role in agentic pipelines to the longer arc of quantum-era security, Bachman outlines how organizations can build integration strategies that are fast, compliant and future-proof.

In this interview from Boomi World 2026 in Chicago, Patricia B. Moore, AI field chief technology officer and innovation lead at Boomi, joins theCUBE + NYSE Wired's Gemma Allen to discuss how intelligent integration is evolving into the orchestration layer for AI agents and enterprise automation. Moore argues that becoming a genuinely agentic company starts with trust — and trust starts with data that is not just connected, but richly described by metadata. She illustrates the stakes with a sharp example: finance, operations and sales each define "active customer" differently, meaning agents operating without a human in the loop can reach contradictory conclusions without a semantic layer to anchor them. Boomi's Meta Hub is built to solve exactly that data-beneath-the-data problem.

The conversation also explores how Boomi's 30,000-customer base has shaped its platform into a full-cycle integration and agent management engine. Moore explains that the same governance principles applied to API management now extend to AI agents — giving enterprises guardrails, monitoring and transparency to see exactly what autonomous systems are doing and intervene when needed. She is candid about where most enterprises actually stand: not yet orchestrating swarms of agents, but building confidence through smaller automation wins. The path forward, Moore outlines, runs through a deliberate progression — automate, learn, agentify and only then move to multi-agent orchestration. For organizations feeling behind, she reframes legacy investments not as sunk costs but as assets that Boomi's vendor-agnostic platform can connect, cleanse and activate. From resolving cross-departmental data conflicts to governing fleets of autonomous agents, Moore maps a practical route for enterprises ready to move from AI experimentation to production-grade operations.

In this interview from Boomi World 2026 in Chicago, Ken Jaroenchisakon, director of product marketing, Boomi AI, at Boomi, joins theCUBE + NYSE Wired's Gemma Allen to discuss how AI agent governance is becoming the critical bridge between automation pilots and production-ready enterprise deployments. Jaroenchisakon argues that trust — not speed — is the deciding factor in whether AI agents move from experimentation into real adoption. He explains how Boomi positions itself as a governance layer for registering and managing agents regardless of how they were built, functioning as a neutral control plane across partner ecosystems including AWS.

The conversation also explores how Boomi is closing the gap between IT developers and business users through its AI Center of Excellence, which hosts agentic workshops that map KPIs and business outcomes to AI workflows teams can understand and explain. Jaroenchisakon details the Order-to-Cash process as a flagship use case, describing how AI reasoning now replaces rule-based automation to accelerate revenue conversion across industries from manufacturing to education. He notes how Boomi has simplified its platform over the past year to give smaller businesses easier access to AI agent capabilities — embedding intelligence directly into workflows rather than requiring complex builds from scratch. From challenging the "move fast and break things" mindset to enabling non-technical stakeholders in finance, HR and marketing to actively shape AI deployments, Jaroenchisakon outlines why responsible, transparent transformation is what moves AI from pilot into lasting production value.

In this interview from Boomi World 2026 in Chicago, Dan McAllister, senior vice president of global alliances and channels at Boomi, joins Jay Dettling, global vice president of global partners and ecosystems at UKG, to talk with theCUBE's John Furrier and theCUBE + NYSE Wired's Gemma Allen about how their nine-year partnership is accelerating the shift from static workforce systems to real-time AI-driven systems of action. McAllister and Dettling outline how UKG's OEM integration of Boomi creates a frictionless data layer across workforce management, human capital and payroll — serving 80,000 customers and 6.5 million frontline workers daily. With frontline labor representing 30 to 70% of enterprise spend in retail, manufacturing and healthcare, both leaders frame integration not as back-office plumbing but as the connective tissue enabling AI agents to act on data without requiring human intervention at every step.

The conversation also explores the governance challenges that accompany agentic automation — particularly how business rules built over decades must follow the data to prevent unauthorized agent behavior. Dettling describes a deliberate trust-building approach, where AI surfaces decision points for human approval before earning greater autonomy, allowing enterprises to advance at a pace that doesn't outrun confidence. McAllister adds that managing AI costs has emerged as a pressing customer priority, with Boomi and UKG working jointly to optimize usage across multiple AI providers. Both leaders also reflect on the depth of their co-design partnership, noting that sustained alignment at the executive, go-to-market and product levels is what makes it work. From hospital staffing scenarios where real-time orchestration can directly affect patient care, to the broader enterprise journey from batch reporting to continuous systems of action, McAllister and Dettling offer a grounded roadmap for organizations navigating the agentic era with measured confidence.

This session at Boomi World 2026 in Chicago examines the Boomi platform evolution, data activation and artificial intelligence-driven enterprise workflows. The conversation focuses on integration strategies, data readiness and governance, platform capabilities and measurable productivity outcomes to help enterprises accelerate digital transformation.

Vinit Verma of Jade Global is vice president of data and AI and head of the business unit for data and AI. Thomas Benjamin of Boomi is senior vice president of global product development engineering and cloud operations. Verma shares frontline integration lessons from Jade Global and they emphasize data-first approaches and measurable productivity gains. Benjamin outlines Boomi’s recent platform advances, including Boomi Orchestrate and Boomi Connect, combined with new agent runtimes and strengthened governance, and they explain how these capabilities accelerate business outcomes.

Key takeaways emphasize the necessity of data readiness and data governance for successful AI initiatives, as Verma stresses, and Boomi’s shift to enable rapid outcome delivery, as Benjamin explains. Verma highlights sub-10-minute onboarding workflows via Boomi Orchestrate and Boomi Connect, and they identify Lunar as a core AI gateway governance component while noting productivity improvements from coding assistants. Benjamin underscores the importance of ROI scrutiny and alignment of projects to measurable business value, and they recommend metrics-driven pilots and outcome-focused governance.

In this interview from Boomi World 2026 in Chicago, Matt McLarty, chief technology officer of Boomi, joins theCUBE's John Furrier and theCUBE + NYSE Wired's Gemma Allen to discuss the launch of Boomi Companion and what it signals for the future of enterprise agentic engineering. McLarty introduces Companion as a collection of agent skills built on Anthropic's open Claude skills standard that goes far beyond conventional code generation — fully building, deploying, testing and iterating integration solutions from natural language instructions. He explains that Companion is built on Boomi's own platform APIs by an expert internal builder, embedding best practices from the start, and highlights early partner and customer adoption as evidence that enterprise AI is finally delivering tangible value.

The conversation also explores the taxonomy McLarty uses to navigate the agentic landscape, separating agentic automation, agentic analytics and agentic engineering, and why Companion currently lives in the engineering realm — helping organizations build the solutions that will eventually run production workloads. Drawing on Daniel Kahneman's framework of fast and slow thinking, he argues that balancing deterministic and probabilistic processing is the defining architectural challenge of this era, with a clear directive: default to deterministic approaches wherever possible and augment with AI only where it adds genuine value. McLarty details Boomi Orchestrate, which bridges business processes and their underlying technology, and MetaHub, a semantic layer that maps operational workflows to technical foundations. He also introduces agentic-academy.ai as a practical resource for teams working through this new architectural paradigm. From expanding Boomi's reach into mid-market and SMB customers to positioning Companion as a scalable force multiplier for software engineering teams, McLarty provides a roadmap for enterprises navigating the shift from traditional automation to truly agentic systems.

In this interview from Boomi World 2026, AK Denduluri, vice president of transformation advisory at Tech Mahindra, joins Chockalingam Subramanian, global head of enterprise integration at Tech Mahindra, to talk with theCUBE's John Furrier and theCUBE + NYSE Wired's Gemma Allen about how intelligent integration is becoming the orchestration layer for AI agents and enterprise data. Denduluri and Subramanian explain why data velocity is now foundational to AI — an agentic layer is only as effective as the speed and availability of the data feeding it. They highlight Boomi's repositioning as a "data activation company" and its ability to surface on-premises and hybrid data sources that remain largely absent from today's AI models, while pointing to a broader architectural shift from API and integration management toward autonomous, multi-agent workflows requiring real-time coordination across platforms.

The conversation explores how Tech Mahindra is helping customers build what Denduluri calls "agent gardens" — environments where multiple autonomous agents operate across platforms and must be governed by a centralized orchestration layer. Both guests emphasize that trust, identity management and native security are foundational requirements for agent-to-agent coordination, particularly as enterprises adopt A2A protocols and model context protocols (MCPs). Subramanian notes that while every industry carries potential, regulated sectors such as healthcare face additional compliance hurdles, while manufacturing organizations with data already consolidated across ERPs and data lakes are among the readiest to scale. A defining theme is the shift from last year's pilot investments to the ROI accountability that defines 2026 — customers are no longer asking whether to adopt AI, but how to extract measurable returns. From championing Boomi's "Connect" capability for cross-platform agent governance to prioritizing "Orchestrate" for unified workflow coordination, the two outline why integration strategy has become the critical enabler of AI success at enterprise scale.

In this interview from Boomi World 2026, Dan McAllister, senior vice president of global alliances and channels at Boomi, joins Ritesh Keshri, senior director of agentic integrations and orchestration at LTM, to talk with theCUBE's John Furrier and theCUBE + NYSE Wired's Gemma Allen about how intelligent integration is evolving from back-office plumbing into the orchestration layer for enterprise AI. Keshri, whose firm holds platinum GSI status with Boomi and multiple Partner of the Year recognitions, maps enterprise AI readiness along a spectrum — from organizations still consolidating data pipelines to those ready to deploy autonomous agents across their full technology stack. With customers demanding returns on their AI investments, both guests highlight why integration depth is now the deciding factor between pilots and production outcomes.

The conversation also explores how the launch of Boomi Companion is reshaping developer productivity by surfacing decades of accumulated integration knowledge at the point of deployment. Keshri details how LTM is building end-to-end autonomous agents using MCP and A2A capabilities — illustrated through a retail demand forecasting use case that pulls live data from Salesforce, inventory systems and external signals to generate orders with human-in-the-loop approval. McAllister explains how Boomi Connect is opening agentic innovation to a broader set of users, while Companion gives power developers the ability to vibe-code within a governed environment. Agent governance emerges as the next critical frontier, with both guests pointing to Boomi's roadmap around inter-agent orchestration and trusted, auditable outcomes. From democratizing integration tooling to finally delivering the AI ROI enterprises have long anticipated, McAllister and Keshri provide a clear roadmap for how organizations can move from fragmented experimentation to scalable, intelligent automation.