Announcing Composable AI Agents in Tulip: Accelerate Lean in Your Operations

Manufacturers have long looked to AI to help reduce downtime, improve quality, and boost the efficiency of their teams. Most AI tools stop short of taking meaningful action — they detect issues, surface insights, or assist operators, but still leave it up to people to make decisions and act on them.

That changes with Agentic AI. Think of AI Agents like digital lean teammates — goal-oriented, highly trained, and capable of automating complex, open-ended tasks with actionable AI. They reduce risk by enforcing standards, cut costs by handling defects and rework intelligently, and minimize downtime by rescheduling tasks and automating maintenance requests.

Like with any new (human) teammate, AI Agents need the right context, resources, guardrails, and corrective guidance to do their jobs correctly and well. Not every role is the same – in fact, all of these things (context, resources, levels of autonomy) differ depending on your operations, the tasks they’re assigned to, and your comfort level for their autonomy. Over time, you may decide to give a teammate – digital or human – more autonomy or ways to take action.

If you want to effectively employ AI Agents in your operations, you need to be able to define their goals and instructions they operate against and the resources they can use to safely take actions – and be able to adjust these goals, instructions, and resources as things change.

To employ AI Agents that will meaningfully impact your operations, you need to be able to trust them enough to give them the important roles to optimize your operations – not just the menial tasks you want to automate.

Enter Composable AI Agents in Tulip.

We are excited to announce a new capability coming to Tulip for building and configuring AI Agents available now in closed beta.

The new Agent Editor gives teams a transparent, composable way to instruct and equip AI agents so that they can effectively fulfill their roles in digitally transforming your operations. You have full control over the logic they follow, the context they need, and the access they have to take action.

• Goal - Define the mission statement your agent should follow.

• Instructions - Give them the guidance and rules they need to effectively operate: what steps to take, when to ask for guidance or approval.

• Capabilities - Equip your agents with only the resources they need to make context-driven decisions and safely take action.

To complement this new Agent builder in its app editor, Tulip is releasing eight pre-built AI Agents in the Library. Today, you can preview eight of these agents.

Tulip’s approach to AI Agents is rooted in the same principles that make our platform unique: composability, transparency, and human-centric design. Tulip gives manufacturers a way to adopt AI Agents with confidence, control, and adaptability.

• Composable by design → Build or configure agents to fit your workflows, embed them into existing apps and automations, and evolve them as operations change—without costly rebuilds.

• Transparent and trustworthy → Get full visibility into every agent’s logic, data sources, and actions so you know exactly how it operates. This makes agents easy to validate, audit, and continuously improve.

• Right level of autonomy → Decide when agents act independently, when humans step in, and how each workflow balances automation with oversight.

• Human-centric → Agents are designed to augment your teams — helping people work smarter, faster, and more consistently.

• Future-proof architecture → Because Tulip AI is built on a modern, cloud-based platform, agents can scale securely across sites, adapt to new challenges, and deliver lasting value.