Meet Amy. Put AI to work for your team.

What makes your business unique.
Connected to everything it does.

Amy works with you to build a living model of your business — from your value proposition to the processes that deliver it. Clear to people. Usable by AI.

In Studio, your people explain how work gets done. Amy turns that knowledge into a living model your company owns — and evolves as your business changes.

Put that model to work in Space as apps and guided procedures, with shared context and defined access — or hand the reviewed intent to your developer’s coding agent.

Your model. Owned by your company in the open AIM standard — and evolved as your business grows.

Meet Amy: your AI architect, with glasses, a dark hoodie and a friendly smile.
Team daysIllustrative example

AI handles the request.
Your manager decides.

  1. The request

    Maya: “I’d like three days off.”

  2. Your rule Active rule

    More than 2 days off requires manager approval.

  3. Human approval

    Waiting for a manager

  4. The record

    1. Request submitted Pending · 3 days off

    2. No approval recorded yetThe request stays pending.

Your company owns the model. Your rules guide the AI.Find a place to start

First, capture what your people know

AI needs the details
your people take for granted.

Who decides? What makes a case unusual? When should someone step in? Your team explains the work in their own words. Amy asks about the details and turns them into a connected description you can inspect and improve. That is your intent.

  1. Explain it. Amy draws it.

    The person who knows the work can explain it without drawing a diagram. Amy connects the people, steps and rules in trees and charts the team can review.

  2. Find the missing decisions

    Amy checks how the parts connect, helping you spot gaps, conflicting rules and unclear handoffs. Work through the exceptions before handing the task to AI.

  3. Own the model. Evolve it together.

    Your company owns this living model in the open AIM standard. Review it with the people who know the work, use it to guide AI, and evolve it as your business changes.

A question worth asking, for example“What makes a request urgent — and who decides?” Amy helps make the meaning and the responsibilities explicit.

From a conversation to shared understanding

Amy builds the plan.
Your team shapes the details.

“We always check with the manager” sounds simple. Amy helps make the important details explicit: when approval is needed, who gives it, and what happens while a request waits.

The conversation becomes an intent your team can review, share and refine. Amy keeps the meaning and its connections together. Explore Process Modeling

A conversation with AmyIllustrated example

From an idea to an intent for time off

You

I want to make requesting time off easier.

Amy

Who should approve a request?

You

Their manager.

Your intent takes shape

Goal
Make requesting time off simple.
People
Team members and their managers.
Rule
Time off is confirmed after the manager approves it.
That is your intent. You can review it, use it, share it and keep refining it.

One intent. Three ways to put it to use.

Understand the work.
Choose how it happens.

Make the process clear, put apps and processes to work in Space, or give a coding agent a reviewed model to implement. Start where your team needs help today.

01 / Understand

Process Modeling

Make responsibilities, decisions and exceptions visible. Review the model together, export it as BPMN 2.0, or shape reusable prompts for the LLM your team uses.

Start here“Our onboarding only works because one person knows every step.”
Explore Process Modeling
02 / Run

Process Automation

Automate recurring work in Space. Combine apps, guided procedures and connections to existing software, with clear rules and human approvals.

Start here“Move each request from intake to approval and into our existing system.”
Explore Process Automation
03 / Hand over

For Developers

Spec-driven development with Amy: define the software intent, and your coding agent uses the reviewed model as its spec to write, test and evolve a website, web application or mobile app in your own stack.

Start here“Give our coding agent a clear model of the customer portal we need.”
Explore the developer path

Put the understanding to work

Apps that act.
People who stay involved.

An app in Amy uses AI to help carry out the work: gather information, act on a request, or bring a decision to the right person. The screens and actions adapt to the task, guided by your rules.

Amy runs the intent you reviewed directly. Your team maintains the rules, without a separate application codebase to build or deploy.

For work that moves between people: a guided process takes each case through its steps, decisions and handoffs, keeping people involved where needed.

  1. Explain the work
  2. Review the rules
  3. Put AI to work
See how actions and approvals work
Holiday Planner running in Amy, with places to explore, suggested actions and space to ask for something else.
Inside Amy · Holiday Planner. An app, running directly from its intent.
People and AI, working together

Your Space

Build and configure the work in Studio. Bring your team into Space to use AI-powered apps, follow guided processes and work from the same agreed rules. People find their tasks, connect with colleagues and act within the access you define.

Take a look inside Space

A living model your company owns

Your business changes.
Your model evolves with it.

A new approval step. A shifted priority. An exception nobody had written down. When knowledge is scattered across documents, prompts and code, details quickly drift apart.

Because your company owns the model in one place, you evolve it as your business changes. Amy traces how a new rule affects your people, processes and apps — so humans and AI always work from the rules you mean today.

“Longer holidays now need HR approval too.”

One new rule. Two parts of the intent to revisit.

The time-off intent, before and after

Illustrated update
01

Who is involved

Team member → Manager

02

What happens

Request time off → Manager approves → Time off confirmed

The manager approves the request before time off is confirmed.

Your Space. Your rules.

Who has access?
Which AI? Whose decision?

These questions belong in your AI rollout from the start. Bring your people into a workspace with access to the work they need, backed by model policies and visibility into usage.

Model choices

“Which AI are our people using?”

Make the provider and model visible. Deployment administrators allow or block models for modeling and app use. Workspace owners manage the shared models available to their team.

People & access

“Who can see and do what?”

Invite people into the workspace and assign access to the apps and processes they use. Keep authoring collaboration for apps, processes and prompts separate from permission to use a running app.

Permitted actions

“Will AI make the decision for us?”

Define the actions, responsibilities and approval steps in the intent. Assign people their app and process roles. Amy checks access and permitted data changes when the work runs.

Activity & spending

“Can we see the activity and cost?”

Review recorded app activity and process history. Deployment administrators can inspect model calls by user and model, token usage and estimated costs, so AI use is easier to account for.

European AI & Full Data Sovereignty

Built in the EU.
Your models. Your database.

Keep your operational knowledge, process data and files under your own jurisdiction. Amy is built by a European company and designed so you choose where AI runs and where your data lives.

EU Company · GDPR

Built in the EU by a European team

Amy is developed and operated in the European Union by Juice d.o.o. GDPR compliance, clear data processing agreements and European legal standards are built in from day one.

  • EU jurisdiction & GDPR-compliant processing
  • No training of foundation models on your workspace data
DE / EU & Local LLMs

Local models or German & EU data centers

Run models hosted in German and European data centers, or connect your own local open-weight models on your infrastructure. You control which providers and models your team is allowed to use.

  • Models in German (Frankfurt) & EU data centers
  • Support for local & self-hosted LLMs (vLLM, Ollama, OpenAI-compatible)
BYO PostgreSQL & S3

Bring your own PostgreSQL & S3 storage

Want complete data sovereignty? Connect your own PostgreSQL database for structured app and process data and your own S3-compatible object storage for files and documents.

  • Your own PostgreSQL database for app & process records
  • Your own S3 bucket for documents, attachments & exports
Made in EUGDPR-compliant by design
Hosting in DE & EUGerman & European data centers
Local AI ModelsOn-prem & private LLM endpoints
PostgreSQLBring your own SQL database
S3 Object StorageBring your own S3-compatible bucket
Amy

For teams and the people helping them adopt AI

Which piece of work
would you hand to AI?

Bring one process and the person who knows it. Work with Amy to make the steps, decisions and boundaries clear, then choose how to put them to use.

Explain your work to Amy See plans and pricing