I'll build an optimized month-end close schedule that accounts for holidays, time zones, and review dependencies across your finance hubs.
Coordinating a global month-end close by hand means redoing holiday and time zone math every cycle. This AI agent calculates each entity's close date, flags bottlenecks, and builds a ready-to-use calendar handoff table.

Month-end close Gantt schedule by entity, delivered every month-end close cycle.
Bottleneck flags with expediting recommendations, delivered before the schedule is finalized.
Calendar events handoff table for scheduling, delivered when you mention the agent.
The agent looks up local holidays for each country and calculates every entity's working-day close date, accounting for weekends and each region's own calendar.
It compares each entity's close date against its region's lead entity and calls out any that would delay the region's handover.
Before finalizing, it presents the schedule and waits for you to confirm it or provide negotiated close date changes.
It works out when each review hub across time zones can start and finish reviewing each region, tracking each hub's own queue and working hours.
The final output is a clean table of handover, review, and feedback delivery events that can go straight to a calendar tool.
The Close Schedule Agent is an AI agent on monday.com that builds an optimized month-end close schedule that accounts for holidays, time zones, and review dependencies across your finance hubs.
Yes — to get started, you'll connect this AI agent to your monday.com board, authorize the tools and integrations it needs, and customize its triggers and actions to match how your team works.
You control exactly how the Close Schedule Agent behaves. You can configure it to wait for your approval before taking any action, or set it to execute automatically once you're confident in its behavior.
AI agents are available on paid monday.com plans. Each AI agent run consumes AI credits, which are included with paid plans and can be topped up as needed.
Automations follow fixed if/then rules. AI agents on monday.com can read context, make judgments, draft content, and handle multi-step work that doesn't follow a predictable pattern.
Yes. monday.com lets you create AI agents from scratch using the no-code agent builder — just describe what you want the agent to do, connect it to your boards and tools, and set its permissions.
monday.com AI agents work directly inside the platform where your team already operates — with full context across your boards, projects, and workflows.