AI | niloo alavi

IRP Navigator—a 24/7 AI-powered assistant

My role

I played a key role in shaping the user experience of IRP Navigator from early concept through to launch. I facilitated exploratory design discussions, created prototypes to demonstrate potential interaction patterns, and worked closely with product managers, engineers, and GenAI specialists to align on user needs and technical feasibility.

I contributed to defining the Navigator’s key interaction flows and UI components within the IRP applications, ensuring consistency with our platform design language.

I also collaborated with our customer success and research teams to uncover common pain points and use cases, integrating insights directly into the user journey.

Problem

Our team identified a growing challenge: the rapid pace of product innovation and documentation updates made it hard for users to keep up and self-serve effectively. Language barriers, documentation overload, and delays in customer support often disrupted workflows.

Process

I kicked off with user journey mapping, persona alignment, and documentation analysis. Key steps in our process:

Synthesized insights from customer interviews, support logs, and internal stakeholder sessions

Explored multiple chat UI patterns to ensure scalability across products

Iterated on interaction flows to balance simplicity with technical depth

Outcome

The result was the IRP Navigator—an always-on, conversational GenAI tool embedded within the IRP ecosystem to provide intelligent guidance across documentation, models, workflows, and support pathways.

Design Solution

Defined key interaction flows and UI components within the IRP ecosystem, aligning with platform design standards.

Embedded, In-App Support

The Navigator lives inside IRP applications, reducing context-switching and giving users help right where they need it

Cited, Searchable Sources

Every response includes clear documentation links, empowering users to explore more deeply

Learning-Focused

Beyond reactive help, the Navigator serves as an educational tool to guide users through new or complex tasks

Impact & Success Metrics

IRP Navigator has delivered measurable value since launch:

Higher Engagement

Increased in-app usage of features due to improved discoverability

Improved Productivity

Minimized workflow disruptions, especially in time-sensitive modeling and analysis scenarios

DISCOVERY

Business Need:
What is IRP Navigator—a 24/7 AI-powered assistant ?

IRP Navigator—a 24/7 AI-powered assistant is natural language generation (NGL), persona agnostic report bot on the Risk Intelligence Platform available across all the platform’s applications. Report IQ will convert exposure and loss analytics into natural language, which can be directly embedded within a dashboard and to be used to deliver critical insights to more people within an organization quickly.

Why do our customers need IRP Navigator—a 24/7 AI-powered assistant?

Today it’s very costly the amount of time invested in resources and collating data to proactively make capital decisions. It’s time consuming and difficult to answer questions without relying on intermediaries to run queries to extract data into the format required to feed into internal planning reports.

HMW Data Handling

FURTHER UNDERSTANDING

User Journey and Early
Sketches

Information Architecture and its visualization

IDEATE

Exploring Different UI For Different Usecases

To support multiple future workflows, I explored different layout scenarios for IRP Navigator. One key initiative was to introduce Risk Labs — a dedicated space for Risk Projects (IRP) and related GenAI interactions.

I also designed the In-App Risk Query experience and integrated Underwriter Assistant workflows to ensure cross-app usability in ExposureIQ, TreatyIQ, and UnderwriteIQ.

DEMO 1: Risk Lab - v3.1

Final iteration of Risk Labs with consolidated app tiles, embedded GenAI entry points, and a clean UI for cross-navigation.

Iterated through:

➜ Risk Labs - v3.0

➜ Risk Labs - v2.0

➜ Risk Labs - v1.0

DEMO 2: Risk Query In-App v1.1

Designed lightweight, embedded Risk Query workflow to allow users to initiate contextual GenAI conversations directly within core IRP applications.

This solution reduced context-switching and supported high-priority user tasks without leaving their workspace.

DEMO 3: Underwriter Assistant

Created a generalized workflow that enabled AI-powered assistance across all IRP applications.

Key focus:

Scalability and shared logic across ExposureIQ, TreatyIQ, and UnderwriteIQ—tailored per app without redundant components.

DECISION

✅ Final Layout (Delivered)

After testing several interaction models:

Whole Interaction Highlights:

Unified Risk Lab entry points across tiles and sidebars

In-app query launch from any screen for seamless workflow integration

OUTCOME

How I Contribute to Design
System

To support this project, I built a dedicated Generative AI Local Library as a branch of our platform design system. This ensured scalable, production-ready patterns for GenAI elements across IRP apps.

Design System Panel 1

I documented and systematized layout logic, tile interactions, embedded GenAI triggers, and microinteractions

I created reusable components for launchpad tiles, hover states, badges, and iconography

Design System Panel 2

I designed content modules, widget variations, and search/filter logic to support Risk Labs and Underwriter Assistant workflows
I focused on flexibility, localization, and alignment with IRP visual standards

Design System Panel 3

I built data visualization templates for GenAI-driven insights, including chart containers, result states, and expandable cards

I ensured responsive behavior and accessibility compliance across use cases

FINAL REFLECTION

Final Outcome & Impact

We shipped it

The result was IRP Navigator — an always-on, AI-powered assistant embedded into the IRP ecosystem. It provides intelligent, contextual support across documentation, models, workflows, and product surfaces.

IRP Navigator delivered measurable business value: