HUD · HUD-2025-004 · record R0546

CAISY - Workforce Training Conversation Simulator

Department of Housing and Urban Development · Office of the Chief Human Capital Officer

Overview

Development stage: DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: 2023-09-01 (day precision)Source: 2023-09-01T00:00:00
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Human Resources
Operational functions: Chatbot or virtual assistant Derived by keyword rules; see methodology

Problem the AI is intended to solve

CAISY is designed to solve the challenge of helping employees practice and improve difficult workplace conversations in a safe, realistic environment.

Expected benefits

CAISY helps employees practice and receive real-time feedback on workplace conversations. It offers several real-world scenarios, allowing users to practice skills like resolving customer concerns, sharing constructive feedback, and leading difficult conversations, within a safe learning environment.

System outputs

Conversational responses generated by an LLM (Azure OpenAI) tailored to the scenario. Coaching feedback on AI Simulation scenarios Scenario-specific guidance Learner performance rating (non-PII, abstract user ID).

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s): Skillsoft
Custom-developed code: No
Public source code: Not reported

Sourcing

How it was built: Purchased from vendorSource: a) Purchased from a vendor
Vendor (as reported): Skillsoft Percipio
Vendors (standardized): Skillsoft

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: No
Privacy Impact Assessment: Not reported
Authorization to Operate: No
Demographic features: k) None of the above
Training and evaluation data: CAISY does not train or fine-tune base AI models using customer or learner data. Models are pre-trained foundation models provided by Azure OpenAI. No learner PII, transcripts, or conversation data are used for training.
Federal Data Catalog: Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported