IKS Health
2025
Ask Polaris
An enterprise AI conversational assistant enabling healthcare executives to query performance and revenue cycle data in plain language - eliminating analyst bottlenecks and static reports.
Overview
Putting enterprise data one conversation away for leadership
Senior healthcare executives make high-stakes operational and financial decisions every day, yet getting direct answers to critical performance questions often took days of back-and-forth with data analysts. Ask Polaris was conceived as a conversational AI assistant embedded directly inside the enterprise portal leadership already uses, giving executives instant, self-serve access to revenue cycle metrics in plain language.
Problem & Solution Overview
Replacing multi-day analyst queues with instant, conversational intelligence at the point of decision.
Enterprise leaders previously faced significant operational delays when answering critical revenue-cycle questions, with crucial insights locked behind static PDF reports, multiple disconnected systems, and multi-day analyst ticketing queues. Ask Polaris bridges this gap by embedding a conversational AI assistant directly into the daily portal leaders already use. Instead of initiating new reporting cycles, executives ask plain-language questions and receive instant, drillable answers grounded in verified enterprise data.
Ideation - Low Fidelity Wireframes
Exploring Ideas & Defining the Right Experience
The ideation phase focused on exploring different ways to make complex healthcare revenue data easier to understand and act upon.
We explored multiple interaction patterns, information structures, and conversation flows for Ask-Polaris. The goal was to find the right balance between providing meaningful insights and keeping the experience simple and focused.
Through low-fidelity wireframes, we explored different approaches including:
• Chat-first experience - allowing users to directly ask questions and receive insights.
• Dashboard + AI - combining key metrics with an AI-powered conversational experience.
• Guided conversation - helping users discover relevant questions and insights through contextual suggestions.
We also explored different ways of presenting revenue metrics, NCR trends, negative-impact factors, and supporting insights without overwhelming the user.
These explorations helped us identify the need for a cleaner information hierarchy, focused visualisation, and a more guided interaction model. The final direction prioritised clarity and reduced cognitive load while still giving users access to deeper insights when needed.
Ideation - User Flow and IA
Exploring Ideas & Defining the Right Experience
Final Design
A conversational AI experience that helps organizational leaders turn complex data into clear, actionable insights - simply by asking questions in natural language.
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