AI Builder
Business expertise
Meet AI
Helping makers create and use AI models without writing code. I played a foundational design role in AI Builder, from the product vision to the experience of configuring and using models.
01 / At a glance
AI beyond specialist teams
Business users need ways to use their own data and expertise without first learning how to build a machine-learning system.
Shape the no-code experience
I partnered with PMs on the vision and led design work on model creation, usability and integration with the Power Platform.
Models makers can put to work
Prebuilt and custom models support tasks such as document processing, object detection and prediction in apps and flows.
02 / The experience
Choose a task
Build on what you know
The product introduces AI through concrete business scenarios and guides makers toward a usable model.
- 01 / 03 Choose
Begin with a business need
The starting surface presents recognizable model types, so makers can choose the capability that fits their process.
AI Builder introduces model types through practical business scenarios. - 02 / 03 Teach
Connect the model to your data
For object detection, makers tag objects in their own images. The training task is expressed through a visual interaction.
Tagging objects directly in a sample image. - 03 / 03 Evaluate
Understand the model’s readiness
A model detail view brings performance and the next available actions together before the model is used in an app or a flow.
A model overview presents its performance and available actions.
03 / Design & leadership
Make AI
a maker experience
The design connects familiar business tasks, understandable interactions and a shared product language.
Explain a capability before setup
I designed the no-code experience around model types and business examples. Form processing, for example, can be introduced through the document it will understand.
Build consistency into the foundation
Working with PM, engineering and research, I aligned model experiences with the broader product direction and refined features through user feedback.
Connect models to real workflows
The goal extended beyond creating a model: makers needed to use its output in Power Apps and Power Automate to support their business process.
04 / What changed
AI in the hands
of business makers
The project’s documented impact spans manual processing, workflow automation and access to reusable AI capabilities.
60% reduction
Intelligent automation reduced the manual data entry required in business processes.
40% faster
AI Builder accelerated workflow automation across the industries described in the project.
15+ prebuilt models
The platform expanded access to capabilities including document processing, image detection and image classification.
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