monday.com Rebuilds Platform Around Claude to Enable Human-Agent Collaboration

monday.com has rearchitected its platform from the ground up around a human-agent collaboration model, using Claude at the core to handle technical complexity. The shift moves beyond adding AI features to existing workflows, instead embedding agents directly into the product's fundamental value proposition. This transition follows an internal "AI month" in May 2025, where the team realized that sprinkling "AI dust" onto existing tools failed to create sustained usage patterns.

Agents as Teammates

The new design treats agents as colleagues with names, avatars, and specific permissions. Users can assign work to agents through triggers and mentions within the monday platform, addressing the common enterprise stall where AI chat runs parallel to actual work. Mapped agent jobs include IT ticket triage, HR candidate sourcing, competitive intelligence briefings, and executive chief-of-staff tasks like meeting prep and decision tracking.

Four Ways to Run Claude

Customers access Claude capabilities through four distinct methods:

• monday Agents: Teams build custom agents using prompts, with the platform providing the interface for assignment.
• Bring Your Own Agent (BYOA): Allows Claude Managed Agents to join the platform, enabling one person's agent to become a shared teammate.
• Pre-built Agents: Specialized teammates from the monday Agents Store, such as legal or finance plugins.
• Claude Coding Integration: Connects Claude to the monday dashboard for planning and assigning tasks, with execution happening in the customer's own environment.

Real-World Application

Cooke, a family-owned seafood company operating in 16 countries, uses the combined platform to manage roughly 200 active projects and 130 contracts. Product managers use Claude to turn approved charters into project plans and generate status reports, automating data prep that previously required manual upkeep. The integration allows teams to operate from the platform rather than just updating it, with agents handling reporting and risk surfacing.

Key Lessons for Rebuilds

monday.com shares five lessons from the transition:

• Mental Model Shift: Changing how teams think about rebuilding for the future is harder than the technical work.
• Small Teams: Small teams with clear ownership move faster when direction, UX, and technology change simultaneously.
• Trust Drives Adoption: Governance, permissions, and transparency are critical for agents to move from pilot to production.
• Infrastructure Needs: Agents require robust backend support, prompting monday to invest in monday DB for data volume and speed.
• Extend Existing Promises: The rebuild extends the platform's core promise of teamwork to include AI agents as new team members.