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System Status
Online: 3K+ Agents Active
Digital Worker 7 AI Agents Active

Intelligent Property Discovery & Leasing Assistant

Deploys a multi-agent AI system that conducts natural language conversations to understand tenant requirements, performs multi-dimensional property scoring, optimizes tour schedules using TSP algorithms, provides real-time market intelligence, and guides users through an end-to-end leasing workflow from discovery to digital lease signing..

7 AI Agents
6 Tech Stack
AI Orchestrated
24/7 Available
Worker ID: intelligent-property-discovery

Problem Statement

The challenge addressed

Traditional property search is time-consuming, requiring prospective tenants to manually filter listings, schedule multiple tours, compare properties across inconsistent criteria, and navigate complex lease negotiations without market intelligence. T...

Solution Architecture

AI orchestration approach

Deploys a multi-agent AI system that conducts natural language conversations to understand tenant requirements, performs multi-dimensional property scoring, optimizes tour schedules using TSP algorithms, provides real-time market intelligence, and gu...
Interface Preview 4 screenshots

Requirements Collection - AI-powered property search interface where tenants specify location preferences, space requirements, and team size through guided selections.

AI Property Analysis - Multi-agent orchestration dashboard showing RAG pipeline processing, parallel agent analysis, and real-time execution logs.

Property Recommendations & Results - Executive summary displaying matched properties with match scores, sustainability ratings, and key findings.

Search Summary & AI Decisions - Detailed analysis view with processing timeline, search metrics, and AI decision summaries for property recommendations.

Multi-Agent Orchestration

AI Agents

Specialized autonomous agents working in coordination

7 Agents
Parallel Execution
AI Agent

Orchestration Agent

Complex property matching requires coordinating multiple specialized analyses (location, sustainability, amenities, finances) that must be synthesized into coherent recommendations. Without orchestration, individual analyses remain siloed and cannot produce holistic property rankings.

Core Logic

Coordinates the multi-agent workflow by initializing specialist agents, managing parallel execution strategies, and synthesizing results from all agents into unified, weighted property recommendations. Implements a phased execution model: initialization (5s), validation (8s), parallel specialist analysis (120s), and result synthesis (10s). Assigns badges like 'Best Match', 'Best Value', and 'Best Sustainability' to top-performing properties.

ACTIVE #1
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AI Agent

Conversational Interface Agent

Prospective tenants struggle to articulate complex, multi-faceted property requirements in traditional form-based interfaces. Critical preferences around team growth, sustainability priorities, and amenity importance are often lost or misunderstood.

Core Logic

Conducts natural language conversations to extract structured requirement profiles. Identifies preferred cities, size ranges (min/max square meters), team size and growth plans, sustainability importance levels, required vs. preferred amenities, budget constraints, and lease term preferences. Validates requirement completeness and calculates completion percentage before proceeding to property analysis.

ACTIVE #2
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AI Agent

Property Matching Agent

Manual property comparison across 37+ portfolio properties is overwhelming. Different properties excel in different dimensions (location, size, price), making apples-to-apples comparison impossible without systematic scoring.

Core Logic

Executes multi-dimensional scoring algorithm across all portfolio properties. Evaluates location proximity and preferences, size compatibility against team capacity, and generates individual property scores (0-100). Produces detailed breakdowns showing location score, size score, sustainability score, amenity score, and financial score. Generates match explanations with specific pros and cons for each property.

ACTIVE #3
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AI Agent

Sustainability Advisor Agent

Organizations increasingly require sustainable office spaces to meet ESG commitments, but evaluating BREEAM ratings, EPC labels, Paris-Proof compliance, WELL certifications, and renewable energy features across properties requires specialized expertise.

Core Logic

Analyzes BREEAM and EPC certifications, evaluates Paris-Proof compliance levels and carbon footprint pathways, assesses renewable energy sources (solar panels, green electricity), and checks WELL certification and wellness features. Identifies properties meeting high sustainability standards and flags those with regulatory compliance risks.

ACTIVE #4
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AI Agent

Amenity Analysis Agent

Different tenant organizations have vastly different amenity requirements (startups need flexibility, corporates need meeting rooms, wellness-focused companies need gyms). Matching amenity offerings to specific needs requires detailed facility knowledge.

Core Logic

Catalogs available amenities across the entire portfolio including gyms, restaurants, bike parking, EV charging, meeting rooms, lounges, and flexible workspace options. Matches required amenities against tenant specifications, evaluates wellness facilities and services, and identifies properties with all required features. Returns match counts and amenity gap analysis.

ACTIVE #5
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AI Agent

Financial Optimizer Agent

Total occupancy cost extends beyond base rent to include service charges, utilities, and hidden costs. Without financial modeling, tenants cannot accurately compare value propositions or identify the best budget-aligned options.

Core Logic

Calculates total occupancy costs including base rent per sqm, service charges, and projected utilities. Filters properties by budget constraints, evaluates cost per square meter across different cities, assesses value-for-money based on amenities included, and identifies properties within budget. Generates market analysis comparing proposed terms to market averages, competitive rankings, and negotiation recommendations with success probability scores.

ACTIVE #6
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AI Agent

Tour Coordination Agent

Scheduling tours across multiple properties involves complex logistics: coordinating property manager availability, optimizing travel routes between locations, respecting business hours, and accounting for traffic patterns. Inefficient scheduling wastes time and creates poor impressions.

Core Logic

Implements TSP (Traveling Salesman Problem) solver using Nearest Neighbor algorithm (O(n squared)) for initial route generation and 2-opt local search for route improvement, achieving 20-30% travel time savings. Uses Haversine formula for geographic distance calculations. Generates optimized tour schedules respecting constraints: max 7 tours/day, 15-minute buffers, business hours (9-17), lunch breaks. Supports virtual, in-person, and mixed tour types. Creates calendar integrations and sends confirmation emails to all parties.

ACTIVE #7
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Technical Details

Worker Overview

Technical specifications, architecture, and interface preview

System Overview

Technical documentation

An 8-screen guided workflow orchestrating 7 specialized AI agents that transform property discovery from manual searching into an intelligent, conversational experience. The system extracts requirements through natural dialogue, scores properties across location, sustainability, amenities, and financial dimensions, coordinates optimized property tours, collects feedback, generates lease proposals with market analysis, and facilitates digital signing.

Tech Stack

6 technologies

RxJS for reactive state management and agent event streaming

WebSocket integration for real-time agent status updates

Haversine distance formula for geo-calculations

TSP solver with Nearest Neighbor and 2-opt optimization algorithms

Natural language processing for requirement extraction

Multi-dimensional scoring engine with configurable priority weights

Architecture Diagram

System flow visualization

Intelligent Property Discovery & Leasing Assistant Architecture
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