With AI now embedded into everyday work, project management offices are moving beyond governance and reporting into true execution and value delivery. In 2025, AI adoption within PMOs accelerated rapidly. As we enter 2026, the focus has shifted from experimenting with AI features to operationalising them at scale.

This blog looks at how monday.com has driven this shift through its AI powered capabilities, what adoption trends emerged in 2025, and what PMO leaders should realistically expect in 2026.

Why AI has become critical for modern PMOs

PMOs today are expected to deliver business outcomes, not just project visibility. Leadership expects PMOs to anticipate risks, optimise resources, and accelerate delivery across complex portfolios.

AI enables this shift by reducing manual effort, surfacing insights earlier, and supporting faster decision making. Within the work management space, monday.com has positioned AI not as an add on, but as a core capability embedded into how work is created, managed, and executed.

How monday.com AI reshaped PMOs during 2025

In 2025, monday.com made a clear transition from being a work management platform to becoming a work execution system. This evolution was particularly relevant for PMOs that need consistency, scalability, and real time intelligence across programmes and portfolios.

AI driven workflow creation with monday magic

Setting up PMO frameworks traditionally requires significant effort, from board design and automations to dashboards and integrations. Monday magic simplified this process.

By describing requirements in natural language, PMOs can generate ready to use workspaces that include boards, automations, and reporting structures aligned to best practices. This allows teams to standardise delivery models quickly while reducing dependency on tool administrators.

The result is faster project onboarding, improved governance consistency, and reduced setup overhead for PMO teams.

No code AI apps with monday vibe

PMOs often need custom tools such as approval workflows, portfolio dashboards, capacity planners, and risk registers. Building these traditionally required technical skills or external support.

Monday vibe allows PMOs to create secure, enterprise grade applications using AI without writing code. These apps live directly within the Monday.com ecosystem, ensuring data consistency and governance.

For PMOs, this capability enables rapid innovation while maintaining control and compliance.

AI as a digital assistant through monday sidekick

One of the more practical AI advancements in 2025 was monday sidekick. Instead of static recommendations, sidekick operates as a contextual digital assistant.

It understands user roles, priorities, and workflows, suggests next actions, and can trigger automations to move work forward. For PMOs, this shifts the experience from monitoring dashboards to actively driving execution.

AI agents and advanced automation

Late 2025 saw the introduction of AI agents that can execute multi step workflows end to end. These agents can be configured to support specific operational needs, such as scheduling, approvals, or coordination across teams.

For PMOs, this opens opportunities to automate complex processes that previously required manual intervention and oversight, improving speed and consistency.

Embedded AI actions across everyday PMO work

Beyond flagship AI features, Monday.com expanded AI actions across its automation engine. These include summarising updates, categorising work, extracting insights from text, and detecting sentiment.

These capabilities quietly enhance day to day PMO operations by reducing manual reporting effort and improving data quality.

PMO adoption trends observed in 2025

Across industries, PMOs adopted AI on Monday.com with a clear focus on practical value rather than experimentation.

Many organisations used AI to accelerate project setup, standardise governance models, and reduce administrative workload. There was also growing reliance on AI generated insights to flag delivery risks earlier and improve executive reporting quality.

Importantly, AI adoption extended beyond technical teams. The simplicity of monday.com’s AI experiences made it accessible to business users, programme managers, and leadership stakeholders.

What PMOs should expect from monday.com AI in 2026

As AI capabilities mature, PMOs should expect deeper intelligence and more proactive support from their platforms.

• Predictive planning and risk intelligence

AI is expected to move further into predictive territory, identifying potential delays, capacity constraints, and portfolio risks before they materialise. This will allow PMOs to shift from reactive issue management to proactive intervention.

• Continuous workflow optimisation

AI will increasingly analyse how work flows across teams and recommend improvements. This positions the PMO as a driver of continuous delivery optimisation rather than static process enforcement.

• More adaptive user experiences

User experiences are expected to become more context aware, with dashboards, views, and insights adapting based on role, workload, and project phase. This reduces noise and improves decision relevance for stakeholders.

• Stronger integration with enterprise AI ecosystems

Integration with broader enterprise AI tools and large language models will further extend Monday.com’s intelligence, enabling richer analysis and cross system reasoning using live project data.

Strategic considerations for PMOs moving into 2026

To fully benefit from AI powered PMOs, organisations should focus on more than just feature adoption.

PMOs need clear governance around AI usage, transparency in automated decisions, and alignment with organisational risk and compliance standards. Measuring success should focus on delivery outcomes, speed, quality, and resource efficiency rather than tool usage alone.

Building AI literacy within PMO teams and across the organisation will be critical to sustained value.

Closing perspective

By the end of 2025, monday.com had firmly established AI as a foundational element of work execution. For PMOs, this translated into faster setup, stronger governance, and more intelligent delivery. In 2026, AI powered PMOs will no longer be defined by the tools they use, but by how effectively they apply intelligence to drive outcomes across portfolios.

This shift also places greater responsibility on PMOs to design the right operating models, workflows, and governance frameworks around AI. Simply enabling AI features is not enough. Organisations need structured implementation, contextual configuration, and alignment with business priorities to realise sustained value.

This is where enreap supports organisations on their AI powered PMO journey. As a Mmonday.com partner with deep PMO and enterprise delivery experience, enreap helps organisations design, implement, and scale monday.com based PMO solutions that are tailored to their operating model. From portfolio design and governance setup to AI driven automation and adoption enablement, the focus remains on measurable outcomes rather than tool usage.

For PMO leaders looking to move beyond experimentation and build a future ready PMO on monday.com, the next step is clarity and execution. Connect with enreap’s Monday.com and PMO experts to explore how AI can be applied practically and responsibly across your project and portfolio landscape.