How monday.com Enterprise teams scale AI securely

AI is the ultimate productivity tool. It speeds up admin and cleans up comms, turning once-manual processes into smart automation and saving hours each week.

But for Enterprise teams, there’s a catch: how do you wrangle secure AI workflows?

With monday.com Enterprise AI, there’s finally a solution to successful use of AI automation for large teams. Here’s how high-performing organisations safely use monday AI at scale.

The problem with most enterprise-grade AI automation tools

When hundreds or thousands of people are working inside the same platform, speed without control creates risk. One accidental workflow change or unguarded workspace can create compliance issues (or worse).

Enterprise AI needs guardrails, and unlike other platforms, monday.com Enterprise is designed specifically for this challenge. 

With its advanced data security and AI permissions features, monday’s Enterprise AI makes it possible to build secure automated workflows that scale across teams, departments and regions. 

We’ve outlined a 5-step process you can follow for your own boards to ensure secure automation in monday.com that helps you scale without compromising on security:

1. Set rules first with AI permissions

The fastest way for AI to go sideways in an enterprise environment is when access is wide open.

With monday.com Enterprise, you can use AI account permissions to manage who can use AI features and where. This makes it much easier to roll out AI automation for large teams without losing governance.

A secure rollout can:

• Limit AI access by role

• Restrict usage to specific workspaces or boards

• Control who can create AI-powered automations, AI columns, or use AI assistants

• Extract information and accurately classify data

When you manage AI permissions in monday, you reduce the risk of unauthorised edits or data extraction without slowing down innovation for the people who actually need it.

This is the first step in learning how to scale AI securely in large teams.

2. Centralise control with Enterprise admin features

Once AI is enabled, the next risk is operational chaos due to a lack of centralised control: duplicated boards, broken automations, inconsistent templates and “shadow workflows” built differently across departments.

AI in monday.com Enterprise includes admin control built for scale. It gives IT and ops teams confidence that AI is being used inside a stable environment.

Key controls that support secure AI workflows include:

• Board administrators and custom roles: Board admins can lock down critical board structures and remove edit access to others. Pair this with custom roles so relevant users can build while others can stay in execution mode.

• SCIM provisioning and session management: Support automated user management at scale and help reduce user-related vulnerabilities.

• Audit logs and “panic mode”: Auto-generate full visibility of account activity and key changes with audit logs. monday’s “panic mode” also allows rapid lockdown if anything goes awry, the ultimate enterprise-level safety net.

 3. Enable the right AI features in the right places

We’re the first to admit to many clients: Not every board needs every AI function.

And in enterprise environments, the “turn everything on” approach usually backfires. The goal is targeted rollout: enable AI where it adds value, and keep it restricted where data sensitivity is high.

For example, certain AI Blocks can be used only for relevant teams:

• Enable “Write with AI” for client communications or internal updates boards.

• Enable “Summarise with AI” in project delivery boards.

• Restrict “Extract with AI” only to HR or recruiting workflows with approved permissions.

• Keep custom prompts limited to trained users who understand internal guidelines.

This method also supports data security because AI usage aligns to existing data governance frameworks instead of bypassing them.

4. Use AI to scale, not just speed up

In smaller organisations, AI mostly helps you move faster. In enterprises, AI does something more powerful: it creates consistency across high-volume operations, which is where the best ROI comes from.

Instead of relying on manual judgement across departments (which varies wildly), enterprise-grade AI automation tools can standardise decisions using defined criteria:

• Lead labelling can apply the same qualification rules across regions.

• Ticket categorisation can route requests consistently across departments.

• Contract review summaries extract key terms in a repeatable format.

• Sentiment detection can flag escalations before issues blow up.

This approach reduces human error in repetitive work and improves governance across large teams. It’s one of the clearest examples of secure automation in monday.com, because the process becomes controlled and repeatable.

Combine AI with existing monday.com security layers

This is the part most teams miss. AI shouldn’t sit outside your security framework, but needs to operate within it.

monday.com Enterprise already includes the key compliance and data protection tools we discussed here, but what sets it apart is its ability to sit inside your existing security layers without overriding them. That includes:

• Strong access control and permission structures

• Enterprise identity management

• Governance and oversight

• Compliance-aligned administration

These monday.com security features ensure teams can experiment safely with AI while controlling risks. You get progress and perfection.

We can build your secure AI workflows in monday.com Enterprise

The best AI systems create consistency, governance and scalable automation across the entire organisation.

If you want help building secure workflows with AI, Kick Consulting can design your monday.com Enterprise setup with the right AI permissions, governance controls and automation structure. We’ll collaborate with you to tailor requirements like access controls and visibility for different teams.

Book a consult with our monday.com experts to start scaling Enterprise AI safely.