AbilityPath - AI Intake Assistant

A Supportive AI that Helps Families find the Right Next Step

Real ROI

Real ROI

Real ROI

The Impact of Transforming Your Operations

24/7

Availability

Support whenever families/participants need it

ASAP

Instant Response

From inquiry to entrance eligibility and program match

20+

Hours Saved per Month

Non-productive calls removed from staff workload

24/7

Availability

Support whenever families/participants need it

ASAP

Instant Response

From inquiry to entrance eligibility and program match

20+

Hours Saved per Month

Non-productive calls removed from staff workload

24/7

Availability

Support whenever families/participants need it

ASAP

Instant Response

From inquiry to entrance eligibility and program match

20+

Hours Saved per Month

Non-productive calls removed from staff workload

Features

Features

Features

AI features built to support intake, clarity, and care

Automated 24/7 Intake

Automatically captures structured interest forms from calls, chats, and texts

Automated 24/7 Intake

Automatically captures structured interest forms from calls, chats, and texts

Automated 24/7 Intake

Automatically captures structured interest forms from calls, chats, and texts

Smart Program Matching

Analyzes each individual's needs and circumstances to recommend the most suitable programs

Smart Program Matching

Analyzes each individual's needs and circumstances to recommend the most suitable programs

Smart Program Matching

Analyzes each individual's needs and circumstances to recommend the most suitable programs

Sesure, Clear, Accessible

HIPAA-compliant, minimal-info intake with fast emergency escalation, smart call transfer, and multilingual support

Sesure, Clear, Accessible

HIPAA-compliant, minimal-info intake with fast emergency escalation, smart call transfer, and multilingual support

Sesure, Clear, Accessible

HIPAA-compliant, minimal-info intake with fast emergency escalation, smart call transfer, and multilingual support

Human Handoff Built-In

Staff can review, step in, or follow up with full context from the AI conversation.

Human Handoff Built-In

Staff can review, step in, or follow up with full context from the AI conversation.

Human Handoff Built-In

Staff can review, step in, or follow up with full context from the AI conversation.

Clear Next Steps

Automatically sends call summaries and program details by text after each interaction.

Clear Next Steps

Automatically sends call summaries and program details by text after each interaction.

Clear Next Steps

Automatically sends call summaries and program details by text after each interaction.

Intake Insights

See call trends, intake activities, and cases that need follow-up all in one place.

Intake Insights

See call trends, intake activities, and cases that need follow-up all in one place.

Intake Insights

See call trends, intake activities, and cases that need follow-up all in one place.

Design Process

Design Process

Project Overview

AbilityPath is a Bay Area nonprofit dedicated to supporting people with developmental disabilities throughout their lives, serving about 1,500 individuals weekly across 13 locations.

Year

2025-2026

Year

2025-2026

Year

2025-2026

Role

Product Designer

Role

Product Designer

Role

Product Designer

Team

Me /Product Designer • Lena Li /PM • Suyang Chen /Engineer

Team

Me /Product Designer • Lena Li /PM • Suyang Chen /Engineer

Team

Me /Product Designer • Lena Li /PM • Suyang Chen /Engineer

Company

AbilityPath

Company

AbilityPath

Company

AbilityPath

Chanllenges

AbilityPath’s intake is fragmented across calls, emails, and disconnected tools, forcing staff to manually triage incomplete information and repeat the same work. This slows time-to-service, increases mismatches, and contributes to staff burnout while eligible families wait or drop off.

Key Design Responsibility

Designed a phone-based AI intake service that collects information, sets expectations, and routes cases to human support when needed.

Defined conversational UX and trust boundaries, including anonymous intake, escalation rules, and human handoff for sensitive cases.

Designed an intake insights dashboard to help staff monitor calls, review flagged cases, and oversee AI behavior.

Translated real intake workflows into decision logic and metrics in partnership with operations and social workers.

Chanllenges

AbilityPath’s intake is fragmented across calls, emails, and disconnected tools, forcing staff to manually triage incomplete information and repeat the same work. This slows time-to-service, increases mismatches, and contributes to staff burnout while eligible families wait or drop off.

Key Design Responsibility

Designed a phone-based AI intake service that collects information, sets expectations, and routes cases to human support when needed.

Defined conversational UX and trust boundaries, including anonymous intake, escalation rules, and human handoff for sensitive cases.

Designed an intake insights dashboard to help staff monitor calls, review flagged cases, and oversee AI behavior.

Translated real intake workflows into decision logic and metrics in partnership with operations and social workers.

Chanllenges

AbilityPath’s intake is fragmented across calls, emails, and disconnected tools, forcing staff to manually triage incomplete information and repeat the same work. This slows time-to-service, increases mismatches, and contributes to staff burnout while eligible families wait or drop off.

Key Design Responsibility

Designed a phone-based AI intake service that collects information, sets expectations, and routes cases to human support when needed.

Defined conversational UX and trust boundaries, including anonymous intake, escalation rules, and human handoff for sensitive cases.

Designed an intake insights dashboard to help staff monitor calls, review flagged cases, and oversee AI behavior.

Translated real intake workflows into decision logic and metrics in partnership with operations and social workers.

Target Users

Parents/guardians ages ~50–70

Services

Day Programs (Adults 22+)

Social Recreation (Teens & Young Adults)

Employment Services (250+ employed; ~90% retention)

Target Users

Parents/guardians ages ~50–70

Services

Day Programs (Adults 22+)

Social Recreation (Teens & Young Adults)

Employment Services (250+ employed; ~90% retention)

Target Users

Parents/guardians ages ~50–70

Services

Day Programs (Adults 22+)

Social Recreation (Teens & Young Adults)

Employment Services (250+ employed; ~90% retention)