monday.com's Elevate Event Signals Shift From Work Management to AI-Powered Execution

The enterprise work management sector is undergoing a fundamental transformation. Autonomous AI agents are no longer confined to assisting workers—they are now taking on the responsibility of executing actual business processes. Software platforms that once served primarily as project organization and task-tracking tools are evolving into collaborative spaces where humans and AI systems work side by side. This shift raises critical questions around how applications get built, how productivity is measured and how organizations maintain control. These themes will take center stage at monday.com's Elevate conference, scheduled for October 28–29 at New York City's Javits Center. The gathering will convene executives, engineers and technology leaders to investigate the ways AI is reshaping how enterprises operate. SiliconANGLE and theCUBE will deliver exclusive reporting and insights, with expanded coverage on October 29.

Monday.com Elevate signals a broader shift in application development: from building software that helps people manage work to building AI-powered applications and agents that execute work. For AppDev leaders, the promise of AI-assisted app creation is compelling, particularly as business teams seek to build tailored solutions faster and reduce their dependence on constrained engineering resources.

Paul Nashawaty, principal analyst at theCUBE Research

The potential is significant, yet deploying autonomous systems within existing corporate structures presents substantial hurdles. As monday.com strengthens its AI tooling, theCUBE will investigate whether organizations can convert quicker application development into concrete business results while maintaining governance over increasingly autonomous agents.

AI-powered application development moves beyond traditional work management

Enterprise work management software is being reshaped by the expansion of AI agents. Instead of merely organizing who does what, these systems now perform the work directly, streamlining operations and enabling staff to construct applications with minimal coding knowledge.

This evolution is already visible in how companies build enterprise software, where AI has seen rapid uptake.

The momentum behind events like Elevate is unmistakable. According to theCUBE Research, 92% of organizations now report AI capabilities integrated into at least one stage of their software delivery lifecycle, up sharply from 71% in early 2024.

Sam Weston, analyst at theCUBE Research

monday.com's AI ecosystem combines multiple features designed to support this transformation. Agent Factory enables teams to construct purpose-built AI agents. monday sidekick delivers targeted support directly within the platform. monday vibe allows developers to generate custom business applications using plain-language instructions, eliminating the technical barriers that have traditionally blocked application creation.

These tools could enable organizations to tackle application queues and streamline cross-departmental workflows. A sales department might deploy agents to assess lead quality and refresh customer data. Support teams could use automation to route tickets and resolve issues faster. The larger vision is to orchestrate these functions within a unified operational platform.

The Elevate 2026 program will feature workshops on constructing AI agents, using vibe coding to build applications and embedding automation into enterprise operations. This practical orientation reflects an industry-wide challenge: transitioning from proof-of-concept AI projects to reliable, production-ready systems.

The anticipated growth of autonomous agents creates urgency around these conversations, as organizations grapple with how to allocate responsibilities between human workers and AI systems.

With 79% of organizations anticipating widespread AI agent adoption within three years, Elevate26's focus on building with AI agents and human-agent collaboration arrives at a pivotal moment for enterprise leaders.

Weston

The genuine challenge, according to Nashawaty, lies in moving past rapid prototyping toward applications that work reliably in production, deliver measurable value, remain maintainable and include proper enterprise controls.

Elevate's significance will ultimately be determined not by how quickly an app can be generated, but by how reliably it can be deployed, governed and scaled.

Nashawaty

AI agent governance becomes essential as autonomous workflows expand

Expanding the role of AI agents in business applications introduces new risks around security and oversight. When agents can retrieve confidential data, alter information or trigger transactions, they need explicit permission boundaries and monitoring systems, especially when they operate across different parts of an organization.

For companies deploying AI-powered work management, governance requirements go deeper than securing individual apps. They must determine how agents verify their identity, what data they can retrieve and which actions demand human intervention.

The security question gets more difficult as AI agents move deeper into enterprise workflows. An agent may be acting on behalf of a person, but its access can span applications, data and business processes. Enterprises need a clear way to establish whose authority the agent is operating under, what it is allowed to do, and when a human needs to get involved.

Krista Case, principal analyst and practice lead of cybersecurity and cyber resilience at theCUBE Research

This becomes especially critical as non-technical business users gain tools to build applications and automated workflows on their own. Accelerated development can ease strain on IT departments, but without centralized governance frameworks, it risks creating gaps in security standards, permission management and accountability.

The Elevate program includes dedicated sessions on AI governance and safeguards, fostering dialogue about what enterprises must prepare for before scaling agent deployments.

Platforms such as monday.com are becoming places where people and AI agents coordinate work together. That puts governance directly in the flow of work. Companies need visibility into what agents are doing, controls around the data and actions available to them, and an audit trail that lets teams understand how work moved from a request to an outcome.

Case

For monday.com and its enterprise clients, the path forward in AI adoption hinges on reconciling faster application creation with the oversight and security demands of enterprise-grade systems. TheCUBE's reporting will examine how this equilibrium influences monday.com's product direction and what it signals for enterprises preparing to grant AI agents greater autonomy in daily operations.