Multimodal AI AgentsStatus: Prototype

Ticketless IT/HR Voice Support

A voice and screen support prototype combining enterprise retrieval, guided actions, and human approval.

Tech Stack: Speech Recognition · WebSockets · VLM/OCR · RAG · LangGraph

Problem

Support requests often need both a spoken description and the context visible on an employee's screen.

What I built

Built speech recognition, WebSocket voice interactions, VLM/OCR screen understanding, enterprise RAG, and LangGraph orchestration with human approval and structured verification before closure.

Key decisions

Use voice and screen context: Screen understanding can supply context that a spoken description leaves out. Keep human approval: The user participates before actions are accepted and the request is closed.

Results

Implemented a combined voice-and-screen support workflow. No quantitative performance result is claimed for this prototype.

Limitations

An IT/HR support prototype; production deployment and a measured reliability benchmark are not established by this project summary.

Evidence

Implementation summary follows my resume. The supplied project repository is linked above; public access is currently unavailable.

1. Problem Statement

Support requests often need both a spoken description and the context visible on an employee's screen.

2. Real-World Motivation

Bring voice, screen context, and enterprise knowledge into one guided support workflow.

3. System Architecture

Resume-based component map covering speech recognition, screen understanding, enterprise RAG, LangGraph and human-reviewed closure. — View full size View full size Mermaid source
Conceptual view of the prototype capabilities described in my resume. The repository could not be inspected, so component boundaries are illustrative; providers, storage, and deployment are unspecified.

4. Pipeline Data Flow

An illustrative interaction showing context gathering, a proposed resolution, human approval and verification before closure. — View full size View full size Mermaid source
Derived from the author's resume rather than inspected source code. This sequence communicates the described prototype capabilities, not a verified runtime trace or exact API contract.

5. Failure Modes & Mitigations

Scenario	Impact	Mitigation Strategy
Incomplete voice or screen interpretation	The workflow may lack enough context to resolve the request.	Human review and structured verification provide a check before closure.
An action needs approval	Execution requires a human decision.	Keep human approval in the support workflow.

6. Design Tradeoffs

Decision	Alternative	Rationale
Use voice and screen context	Text-only support requests	Screen understanding can supply context that a spoken description leaves out.
Keep human approval	Fully autonomous support actions	The user participates before actions are accepted and the request is closed.

7. Validation

Structured verification is built into the workflow. A separate test-suite or benchmark report was not supplied for this entry.

8. Setup & Delivery

The project repository is linked for source access; public setup and deployment documentation could not be verified.

Results & Evaluation

Evaluation Summary

Interactive voice and screen support; latency and concurrency measurements are not included in the supplied results.

Evaluation Scope

Combines speech, screen understanding, and enterprise retrieval.
Approval and verification precede support closure.

Scaling Strategy

WebSockets carry interactive voice traffic. Concurrent-session capacity has not been reported for this prototype.

Security Model

Human approval is part of the action flow, and structured verification precedes closure. Production security validation is outside the documented scope.

Observability

Workflow outcome
Structured verification before closure.
Approval state
Human participation in the resolution flow.

Future Roadmap

Further work would document reproducible support scenarios, latency measurements, and deployment requirements.