AI Is Now Executing Work, Not Just Automating It

monday.com is a cloud-based Work OS that allows businesses to centralize workflows using modular boards, no-code automations, and data integrations.

Q: How is monday.com currently positioned compared to when it entered Mexico in 2020?

A: Our growth in Mexico has been substantial, surpassing 6,000 clients across organizations of all sizes, which reflects the scalability and versatility of our platform. Since 2020, we have evolved from an emerging entrant to a well-established player with strong market penetration and a mature partner ecosystem. This trajectory has positioned Mexico as a strategic market within our global expansion, driving increased local investment to better serve both enterprise and mid-market segments.

Q: Beyond physical presence, what role will the new offices in Mexico play in terms of technical support and proximity to the decision-making ecosystem in 2026?

A: The new offices are designed to localize all customer-facing functions, including sales, technical support, customer success, and partner management. This enables faster response times, more specialized support, and stronger engagement with both clients and partners. While we will continue leveraging global and regional capabilities, a fully operational local structure allows us to integrate more closely with Mexico’s decision-making ecosystem and deliver more contextualized, high-impact solutions.

Q: How do you select strategic local partners to ensure your technology is implemented as a connected ecosystem rather than an isolated tool?

A: We operate under a global partner program with clearly defined tiers based on certifications, performance, and commitment. We prioritize partners with strong technical expertise, industry knowledge, and the ability to deliver end-to-end value across the full lifecycle, from demand generation to implementation and ongoing optimization. In Mexico, we complement this partner-led model with direct local presence, ensuring tighter coordination and more integrated, scalable deployments.

Q: Given the fragmentation of the software market, what is monday.com’s strategy to reduce operational friction, and how do you measure success in consolidating tools?

A: Organizations are increasingly focusing on efficiency, with consolidation of the technology stack as a key lever. Our strategy is to position monday.com as a unified platform that manages workflows, processes, and execution within a single environment. With AI integration, we have moved beyond automation to task execution, enabling organizations to orchestrate people, processes, and AI agents. Success is measured through reduced tool fragmentation, shorter cycle times, lower error rates, and greater end-to-end operational visibility.

Q: How did Monday.com’s capabilities evolve from workflow automation to work execution?

A: Historically, the platform focused on automating workflows by integrating fragmented tools and reducing manual intervention across systems such as email, messaging, and spreadsheets. With embedded AI capabilities, we now enable direct task execution within those workflows. This is delivered through three layers: AI assistants that provide contextual insights via natural language, AI-driven application generation through prompts, and autonomous agents that execute specific functions within a process. Together, these layers transform the platform from a coordination tool into an execution engine.

Q: As software evolves into an active collaborator, how does this redefine ROI and what new KPIs should managers consider?

A: ROI is increasingly being evaluated across multiple dimensions. At a foundational level, organizations benefit from reduced cycle times and lower error rates through automation. With AI, the impact extends further by shifting human roles from execution to orchestration, where employees manage workflows, tools, and agents. As a result, KPIs evolve to include process autonomy levels, the ratio of automated versus human-executed tasks, and the speed and quality of decision-making enabled by real-time insights.

The software business model is undergoing a structural shift. Historically centered on licenses or per-seat pricing, it is now evolving as AI transforms platforms into systems that execute work. Value is increasingly tied to outcomes rather than access, driving a transition toward consumption-based models and, ultimately, metrics linked to work completed. This shift will redefine both partner and customer relationships, prioritizing measurable business impact over volume.

Q: What security and data governance measures do you use to ensure that AI agents operating autonomously do not compromise sensitive information?

A: Our architecture ensures that customer data remains fully contained within each client’s environment. Data is neither shared across customers nor used to train external models, which differentiates us from standalone large language models. In addition, our AI operates within the specific context of each organization’s data, enabling more accurate outputs without exposing sensitive information externally. This combination of data isolation, non-training policies, and contextual intelligence is fundamental to maintaining trust and governance at scale.

Q: What enables monday.com to bridge the gap between strategic planning and operational execution, a common challenge for companies in the region?

A: A core challenge is the absence of a single, reliable source of truth, which leads to fragmented data and inefficient decision-making. Our platform addresses this by centralizing information, providing full visibility into workflows, and enabling advanced AI-driven analysis. This allows organizations to monitor execution in real time, identify risks, optimize processes, and make faster, data-driven decisions, effectively closing the gap between strategy and execution.

Q: How will AI-driven changes in workflow management impact business operations in Mexico, and what challenges should companies expect?

A: While it is still early to fully quantify long-term impact, organizations are already seeing tangible gains in efficiency and execution speed. In the short term, companies can expect higher productivity and stronger returns on software investments. However, broader operational implications — particularly around organizational design and workforce transformation — will evolve over time. The primary challenge will be adapting to operating models where human roles increasingly focus on orchestration rather than execution.

Q: How does the Matchmaker AI engine solve the “implementation gap” and ensure companies in Mexico find the right technical talent for their automation needs?

A: A key industry challenge is translating technological potential into measurable operational impact. Matchmaker addresses this by intelligently connecting customers with partners best suited to their specific implementation needs. Given our partner-led model, this ensures alignment between technical expertise, industry context, and AI capabilities. In parallel, we are investing heavily in partner enablement to strengthen their ability to deliver high-quality, AI-driven implementations, as execution ultimately defines value realization.

Q: What are your growth objectives for the partner ecosystem in Mexico by the end of 2026?

A: Our partner ecosystem is central to our go-to-market strategy, and we have set ambitious growth targets for Mexico. The market is already expanding above our global average, and we expect that momentum to continue. Our focus is not only on expanding the ecosystem but also on strengthening partner capabilities, particularly in AI-driven services and consumption-based delivery models, to ensure consistent, high-value implementations.

Q: Which segments or regions in Mexico are priorities to sustain growth, and how will you deepen adoption among existing clients?

A: Our primary focus is on large enterprises, many of which are already part of our client base. The opportunity lies in expanding use cases by leveraging the full capabilities of our platform, particularly in AI-driven workflows. As a platform rather than a single-function application, monday.com enables organizations to integrate and optimize multiple business functions without replacing their existing technology stack, allowing for scalable, cross-functional adoption.

Q: How will you technically support companies in adopting AI and ensuring they achieve tangible results?

A: We are building a strong local structure of technical specialists who support clients across the full lifecycle, from solution design to implementation and ongoing optimization. This continuous engagement ensures that organizations not only adopt AI capabilities but also realize measurable value. Our model combines direct expertise with partner collaboration to align each implementation with business objectives and deliver sustained improvements in efficiency and performance.