"Agile Infoways team delivered exceptional iOS and Android apps with responsive support and outstanding problem-solving expertise."
- Rob Machado
IndustriesReal Estate
AI Agents & Software Development for Real Estate
Agile Infoways builds AI agents for real estate businesses — lead qualification bots, listing intelligence, document automation, and transaction workflows — from our Florida headquarters. We ship proptech that connects to the MLS, CRM, and listing feeds brokerages already run on.
Industry Challenges
Where Real Estate Teams Lose Deals
Slow lead response, manual paperwork, and fragmented listing data quietly cost brokerages and proptech platforms the transactions they already paid to source.
6 key challenges
01
Lead Response Latency
Inbound buyer enquiries arrive at every hour and go cold within minutes. Agents chasing showings can't answer instantly, so paid leads are lost to whichever competitor replied first.
02
Transaction Paperwork Overload
Contracts, disclosures, HOA documents, and inspection reports are read and re-keyed by hand. The work is slow, error-prone, and scales only by hiring more transaction coordinators.
03
Fragmented Listing Data
Listings live across MLS feeds, IDX exports, internal CRMs, and portal syndications that disagree with each other. Nobody trusts a single source, so decisions get made on stale records.
04
Unqualified Pipeline
Form fills say nothing about intent. Agents spend their day on browsers who will never transact while pre-approved buyers sit unworked at the bottom of the list.
05
Property Search That Doesn't Understand Buyers
Buyers describe what they want in sentences — quiet street, good schools, room for a home office. Filter-based search returns everything that matches the checkboxes and nothing that matches the intent.
06
Portfolio & Asset Blind Spots
Owners and asset managers reconcile rent rolls, maintenance history, and market comparables across spreadsheets, discovering underperforming assets long after the quarter has closed.
Healthcare Services
Real Estate AI ServicesWe Deliver
From lead-qualification agents and MLS integrations to document extraction and proptech platform builds — production systems, not pilots.
Lead Qualification Agents
Autonomous agents that answer inbound enquiries in seconds, ask qualifying questions, check availability, and hand a scored, context-rich lead to the right agent.
24/7 instant response across web, SMS, and email
Budget, timeline, and pre-approval qualification
Automatic CRM enrichment and assignment
Escalation to a human at the right moment
Showing & Scheduling Automation
Agents that negotiate showing times against agent calendars, listing access rules, and buyer availability — then confirm, remind, and reschedule without a coordinator.
Calendar-aware multi-party scheduling
Lockbox and access-instruction handling
Automated reminders and no-show recovery
Post-showing feedback capture
Document Extraction & Transaction AI
Contracts, disclosures, HOA packets, and inspection reports parsed into structured fields with citations back to the source page for review.
Clause and obligation extraction
Deadline and contingency tracking
Structured output with source citations
Human review queue for low-confidence fields
MLS & Listing Data Integration
Bidirectional pipelines between RESO Web API feeds, IDX, portal syndications, and your CRM — normalised, deduplicated, and reconciled into one trustworthy record.
RESO Web API and IDX feed ingestion
Listing normalisation and deduplication
Portal syndication and write-back
Change-detection and freshness monitoring
Listing Intelligence & Content
Draft listing descriptions, comparative market analyses, and buyer-facing answers generated from your own listing data — always agent-reviewed before publish.
Listing description drafting from structured data
Comparable-sales summaries for CMA prep
Natural-language property search
Buyer Q&A grounded in the listing record
Proptech Platform Development
Full product builds for brokerages, marketplaces, and professional networks — mobile and web, with the integrations and rating systems the category expects.
Mobile apps and web management consoles
Professional networking and rating systems
Event and appointment infrastructure
Cloud architecture built to scale with listings
Use Cases
What We Build for Real Estate
One delivered proptech platform, and the agent patterns we implement most often for brokerages and real estate technology companies.
01Case Study
MLSListings Managed In-Platform
ProptechMLS IntegrationFlutter & Node
Doors Open — Real Estate Professional Network
The Challenge
Licensed real estate professionals wanted to reach trusted paid service providers and operate across multiple markets at once, but had no digital platform to do it — networking stayed geographically constrained.
The Outcome
We shipped Doors Open Connect on Flutter, Node, MongoDB, and Angular: a professional network with a rating-based provider directory, virtual multi-location presence, event organisation, and MLS property management built into the platform.
02Case Study
Agentic AICRM IntegrationLead Scoring
Inbound Lead Qualification Agent
The Challenge
Portal and paid-search leads arrive around the clock. Response time decides who wins the buyer, and human agents cannot cover every hour.
The Outcome
An agent that replies immediately, qualifies on budget, timeline, and financing, books the showing against real calendar availability, and writes a scored lead into the CRM with the full conversation attached.
03Case Study
Document AIRAGTransaction Ops
Transaction Document Extraction
The Challenge
Transaction coordinators read contracts, disclosures, and HOA packets line by line to pull dates, contingencies, and obligations into the system of record.
The Outcome
A retrieval-grounded pipeline that extracts clauses and deadlines into structured fields, cites the source page for every value, and routes anything low-confidence to a human review queue rather than guessing.
04Case Study
Semantic SearchListing DataRAG
Natural-Language Property Search
The Challenge
Buyers describe homes in sentences, not filters. Checkbox search surfaces listings that match the fields and miss the intent, so buyers bounce.
The Outcome
Semantic search over your listing corpus that interprets intent — walkable, room for an office, quiet street — ranks against the real MLS record, and answers follow-up questions without inventing property facts.
Proven Impact
The Facts Behind Our Real Estate Work
What we have actually shipped and how we are rated — no projected outcomes, no borrowed benchmarks.
Top Result
MLS
Property Integration ShippedListings managed directly inside the Doors Open network
FL
US Headquarters4905 NW 105th Dr, Coral Springs, FL 33076
2006
Building Software SinceAgile Infoways LLC — US-registered company
4.9
Clutch RatingAcross 37 verified client reviews
Ready to Transform Real Estate with AI?
Book a free 45-minute AI discovery session with one of our real estate AI specialists.
Before You Build
AI Agents for Real Estate
What brokerages, proptech founders, and asset managers ask before committing to AI — what an agent actually is, whether we work in Florida, whether it connects to the MLS, where to start, and how to keep it from inventing property facts.
10 questions answered
01
What is an AI agent for real estate?
An AI agent acts rather than just chats — it qualifies an inbound lead, books the showing, chases the follow-up, and updates your CRM without a human in the loop. Unlike a chatbot, it plans multi-step work and calls your systems directly. That capability is the core of agentic AI development.
02
Do you build AI agents for real estate companies in Florida?
Yes. Our US headquarters is at 4905 NW 105th Dr, Coral Springs, in Broward County — about twenty miles north of Fort Lauderdale and within reach of Miami. Client engagement and delivery leadership sit there, and we meet South Florida clients on site. Details are on our Florida location page.
03
Have you shipped proptech for a US real estate client?
Yes. Doors Open is a real estate professional network we built for a US client on Flutter, Node, MongoDB, and Angular, with a rating-based provider directory, virtual multi-location presence, and MLS property listings managed inside the platform. The full write-up is in the Doors Open case study.
04
Can AI agents integrate with MLS and Zillow APIs?
Yes. Agents read and write through whatever your brokerage already runs — RESO Web API feeds, IDX exports, portal syndications, and CRMs. The hard part is authentication, field mapping, and rate limits, not the model. Most real estate projects live or die on AI integration rather than on the AI itself.
05
Which real estate workflows should you automate first?
Start where volume is high and judgment is low: lead qualification, showing scheduling, listing data entry, and document extraction from contracts and disclosures. These run constantly and follow clear rules. Negotiation and pricing calls stay human. Sequence the rollout with AI automation on the repetitive layer first.
06
Custom AI agent or off-the-shelf tools — which should we choose?
Off-the-shelf wins when your workflow matches the vendor's. Custom wins when your MLS quirks, commission splits, or compliance steps fit nobody's template — and when the agent's behaviour is an advantage you'd rather own than rent. Teams often start packaged, then move to custom AI models once the process is proven.
07
Can AI qualify and score leads automatically?
Yes — scored on behaviour rather than a form. Time on listing, saved searches, financing status, reply latency, and past transaction history feed a model that ranks intent, so agents work the top of the list first instead of the newest. That is predictive analytics applied to the pipeline you already pay for.
08
How do you stop AI inventing property details?
Never let the model recall square footage from memory. Ground every answer in your listing database, MLS record, and disclosure documents, return the source alongside the answer, and refuse when the record is missing. Retrieval-grounded RAG systems separate a useful assistant from a liability.
09
Can AI write listing descriptions and CMA reports?
Yes, drafted from structured data you already hold — beds, baths, comparable sales, recent activity — with an agent reviewing before anything publishes. The gain is drafting speed, not autonomy. The same layer answers buyer questions on your site around the clock, which is where conversational AI earns its keep.
10
How long does it take to build a real estate AI agent?
A focused agent covering one workflow — lead qualification or document extraction — reaches production in weeks rather than quarters, once data access is settled. Multi-agent platforms with MLS sync, CRM write-back, and review workflows take longer. Scope drives the timeline, which is why we start narrow with custom software development.
Client Stories
From Vision to Verified Results
Behind every number - 40% faster deliveries, 60% less admin workload, 50% quicker data processing - is a client who trusted us with a real business challenge. These aren't just demos. They're live products, running at scale sustainably, delivering results clients can measure.
"Great company with great management quality developers were really dedicated to get the job done in a timely cost-effective manner."
- Alexandar Salahsour
"They consistently delivers reliable, high-quality development solutions with exceptional communication, value, and trusted partnership."
- Joe Pellegrino, Jordan Pellegrino
Get In Touch
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