Shipped Systems.
Verifiable Outcomes.
Every system built by AZK AI is backed by verifiable metrics and auditable architectures. Below is the technical breakdown of our systems currently running in production.
Advisify
1. The Challenge
Immigration firms and applicants waste thousands of hours manually reviewing constantly changing visa laws and policy updates. General LLMs hallucinate rules, lack cutoff knowledge, and cannot provide cited eligibility matching, creating high liability risks for professional advisors.
2. The Solution
We engineered a multi-agent policy matching platform. The system ingests a user's actual qualifications, nationality, and work records, runs deterministic checks against real-time visa codes, and outputs an auditable eligibility path report.
3. System Architecture
4. Business Outcome
3x Faster Advisory Response: Turnaround times for comprehensive visa eligibility reviews dropped from 1–5 business days of manual search to less than 5 minutes, with 45% streamlined workflows and 2x scalable AI assistance.
Technology Stack
Direct Home
1. The Challenge
Property investors spend weeks scrolling standard real estate portals using basic keyword filters. These portals cannot evaluate complex conditions (e.g. proximity metrics, investment yields, zoning codes, and construction ages) simultaneously to score optimal acquisitions.
2. The Solution
A hybrid semantic search and scoring engine. We built ingestion pipelines that vectorize municipal zoning records, property descriptions, and coordinate maps, allowing investors to submit conceptual natural language searches (e.g. 'high-yield duplex near transit built after 2010').
3. System Architecture
4. Business Outcome
5x Property Discovery Speed: Investors locate qualifying assets 5 times faster than manual filtering, leading to 50% quicker decisions and a 35% improvement in lead quality.
Technology Stack
SmartGuy
1. The Challenge
B2B business networks struggle with matching members based on service requirements, location, and historical transaction behavior. Manual search directory grids convert poorly and fail to connect appropriate partners efficiently.
2. The Solution
We designed an automated matching and recommendation core. The system monitors user session activities and service listings, vectorizes profiles, and utilizes multi-model ranking to suggest high-conversion B2B connections.
3. System Architecture
4. Business Outcome
5x Matching Discovery Speed: Provides 5x faster network matching discovery for business assets, enabling faster decision-making and better lead quality across transactions.
Technology Stack
AcePrep AI
1. The Challenge
Students preparing for high-stakes exams struggle to get instant, reliable answers to complex questions, practice in a structured, adaptive way, and identify concept gaps before it is too late.
2. The Solution
An intelligent exam preparation platform combining a vision-based step-by-step Q&A engine, a configurable dynamic quiz generator, and a personal revision library grounded in real exam mark schemes.
3. System Architecture
4. Business Outcome
2x Learning Velocity: Students achieve target exam readiness scores twice as fast compared to static practice materials, reducing preparation schedules by 40% with a 92% pass success rate.
Technology Stack
The Chemistry Room
1. The Challenge
Professional services intake is highly manual, relying on unorganized client briefs, scanned files, and emails. Sorting client requirements, mapping unstructured text formats, and manually entering data into CRMs takes hours, delaying response times and leading to transcription errors.
2. The Solution
We engineered an AI ingestion and document processing pipeline. The system automatically extracts key client details, service queries, and requirements from incoming briefs, structuring them into unified JSON schemas and routing them straight to CRM databases.
3. System Architecture
4. Business Outcome
99% Extraction Accuracy: Automated brief extraction achieved 99% accuracy, cutting administrative intake times by 80% and routing leads to sales teams instantly.
Technology Stack
Naturals Club
1. The Challenge
Hospitality membership portals receive hundreds of customer inquiries daily about package rates, membership amenities, and room availability. Guest services staff spend most of their time answering simple, repetitive questions instead of focusing on high-touch guest relations.
2. The Solution
We deployed a secure, database-grounded RAG chat assistant integrated directly into the guest booking portal. The assistant provides instant, accurate answers about amenities and rates, matching guest queries with available reservation slots in the booking logs.
3. System Architecture
4. Business Outcome
50% Reservation Lift: Direct guest bookings increased by 50% via automated reservation assistance, while freeing up support staff from handling repetitive FAQs.
Technology Stack
Need an AI Strategy Before You Build?
Book a complimentary AI Architecture Review. We'll assess your use case, identify opportunities, evaluate technical feasibility, and provide clear implementation recommendations.