Process Modelling

Make the way you work clear.

Your people know the steps, the exceptions and the decisions that matter. Explain them to Amy in Studio. Turn that knowledge into a shared process model, or reusable prompts for your team’s AI.

A clear, agreed model is a useful result in its own right. Automation can come when you’re ready.

The knowledge behind the steps

An explanation everyone can work from.

Describe one piece of work in your own words. Amy connects its purpose, people, information and rules into an intent: a reviewable description of what should happen.

Capture

Include what people just know.

Bring in the person who does the work. Explain the usual path, the judgment calls and what changes when something goes wrong.

See

Follow the connections.

Explore the model through trees and charts. Trace a responsibility, inspect a decision and see how each part supports the purpose.

Review

Agree what should happen.

Amy’s checks help find missing connections and conflicting rules. Your team reviews the proposals and resolves the questions.

Use the model to discuss an improvement, explain a handoff or bring a colleague up to speed. Keep it current as the work changes.

Modelling template

Explore the work before making it your own.

The Event Planning model connects a shared purpose with the budget, venue, guests and people bringing an event to life. Explore the structure here, without signing up.

Interactive model · Event Planning

A shared brief. Connected responsibilities.

Open full page

Expand a branch and select a part of the model to inspect it. Look for how the venue, guests and readiness connect to the event’s purpose.

Using the template creates a private copy in your workspace. Tell Amy what is different about your work and shape the model together.

Reusable LLM prompts

Give AI your team’s working instructions.

Use a Prompt project to define the context, required inputs, rules and expected result. Review the instructions with collaborators, then take the finished prompt to your chosen AI tool.

Illustrative prompt · Service requests

Assess the request. Make uncertainty visible.

“Assess this service request against the supplied service criteria. Use the request details and supporting facts. Ask for missing information before drawing a conclusion.”

“Recommend a priority and explain the evidence. Flag any exception for the team lead. Return the assessment, missing information and points requiring human review.”

A shared reference for a good result.

  • Context: what the task is and which criteria apply.
  • Inputs: the facts needed before an assessment.
  • Boundaries: when to ask, and who reviews exceptions.
  • Output: a recommendation people can inspect.

Exported prompts carry your instructions. The AI tool you use controls execution and access; Amy’s runtime permissions do not travel with the prompt.

Your understanding. Your decisions.

Keep people in the review.

Inspect Amy’s proposed changes before accepting them. Invite collaborators to review the model or prompt, and use versions to revisit how the intent changed.

Checks support your judgment.

Connection and logic checks help focus the conversation. The people who know the work remain responsible for deciding whether the model describes it correctly.

Choose who can shape the work.

Authoring access determines who can collaborate on an intent. Choose from the AI models available to you under your deployment’s model policy.

See Amy’s controls

When you want to take it further

The model gives you a place to start.

Keep it as a shared reference, take it into the process tools you already use with BPMN export, reuse it as instructions, or develop the intent for the way you want to put it to work.

Apps & Processes

Shape an app or a process for your team to use in Space, with explicit roles, rules and human decisions.

Explore Apps & Processes

For Developers

Define software intent for a standalone application. Your coding agents use Amy’s model to implement, test and evolve the software.

Explore the developer handoff

Start with something your team knows

Bring one process.
Make it clear together.