PRODUCT 01Live: MVP Deployed

Advisify

AI-powered multi-agent advisory platform for immigration. Automating eligibility checks, policy tracking, and citation audits for modern legal workflows.

Overview

Immigration advisory demands absolute precision. Advisify was engineered to replace fragile LLM prompt tools with a secure three-layer multi-agent network. It connects directly to live-updating visa codes, processes candidate records, runs deterministic compliance exclusions, and builds a comprehensive cited eligibility report. Advisify cuts manual intake assessments from days to minutes with zero risk of database hallucinations.

Key Features

Profile-Based Path Matching

Reads parameters (nationality, degree, finance, age) to filter matching visa subclasses.

Explainable Citation Trails

Every output includes markdown links to actual government policy codes to guarantee legality.

Multi-Agent Evaluation

Autonomous agent structures cross-weigh and double-verify calculations.

Architecture Pipeline

01

Profile Ingestion

User inputs profile parameters (career, assets, certifications) via API portals.

02

Targeted RAG Check

Retrieves context matches from vectors of state manuals and subclass rules.

03

Deterministic Pass

Applies validation scripts to check baseline visa exclusions immediately.

04

Consensus Model Routing

Routes query to GPT-4.1 and Claude Sonnet agents to cross-validate options.

Product Roadmap

Q3 2026

Automated document filing assistant

Agent to draft visa application files based on matched profile reports.

Q4 2026

Multi-lingual advisory loops

Native translation layers for non-English source manuals and user prompts.

Q1 2027

State-level CRM API integrations

Direct client profile syncing with migration consultancy CRMs.

Technology Stack

Next.jsPython FastAPIGPT-4.1 / Claude SonnetMongoDBPinecone Vector SearchAWS EC2/S3/VPCStripeTwilioLangChain

Dashboard Preview

ADVISIFY BETA
> Loading subclass visa rule...
> Subclass 189: Eligible
> Subclass 190: Eligible (NSW)
> Confidence consensus: 98.4%
System Live: Melbourne AWS
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