Agents rank work orders, route vendors, and flag SLA breaches using live IWMS and CMMS context.
Agents score application completeness, cite lease policies, and draft renewals—escalating edge cases to staff.
Agents build comp briefs, track CRM milestones, and prep transaction-room checklists for broker approval.
Agents cluster RFIs, summarize schedule drift, and surface budget deltas for project executives.
Agents explain NOI variance and occupancy shifts with drill-down citations before IR sends packs.
Your PropTech gateway: multi-LLM orchestration, MCP into core systems, RAG + graph, guardrails, Azure scale.
We deploy AI agents that perform real work for owners, operators, developers, and brokerages—on the ideyaLabs Agentic Layer™, the production middleware behind every agent we ship. Agents observe portfolio context, decide with cited retrieval, act through MCP tools into your systems, and confirm with humans when stakes are high. You automate leasing throughput, facilities SLAs, deal coordination, and investor reporting without losing the audit trail your asset and compliance teams require.
AI agents read live IWMS and CMMS signals to prioritize work orders, assign vendors, and surface SLA risk before tenants escalate. They prepare technician briefs with floor, asset, and lease context—then wait for your approval on spend, access, or life-safety categories.
AI agents read live IWMS and CMMS signals to prioritize work orders, assign vendors, and surface SLA risk before tenants escalate. They prepare technician briefs with floor, asset, and lease context—then wait for your approval on spend, access, or life-safety categories.
Production-ready middleware—not a bolt-on chatbot. The ideyaLabs Agentic Layer™ understands intent, retrieves grounded context from your leases and systems, calls MCP tools safely, orchestrates the right LLM for each property task, and enforces guardrails on every output. That is how agents triage tickets, draft renewals, and assemble investor narratives at scale on Azure, with the speed and uptime operators expect during leasing season and quarter close.
Property workflows do not share one model profile: a renewal chat needs speed, a comp analysis needs depth, and investor commentary needs deterministic tone. The Agentic Layer classifies intent, applies policy tiers, and routes each request to GPT, Claude, Gemini, or approved open-weight models—with versioned prompts, spend guardrails, and failover so agents keep performing during leasing surges and quarter close.
Your stack becomes callable infrastructure for agents. MCP servers expose CRM contacts, PMS rent rolls, IWMS work orders, MLS comps, document vaults, and ERP actuals as schema-validated tools—so agents update systems they are permitted to touch, not shadow spreadsheets. Every invocation is tenant-scoped, logged, and replayable for asset and IT governance.
Agents answer with evidence, not guesses. Vector search over leases and policies combines with a knowledge graph of properties, tenants, buildings, and obligations—plus hybrid CAG and KAG grounding—so a question like “recent downtown lease terms” returns cited clauses, comp rows, and confidence scores your legal and asset teams can verify.
Real estate automation must protect resident PII, respect fair-housing boundaries, and prove what happened. Layered input, behavioral, and output guardrails mask sensitive fields, validate actions against policy checklists, and block unapproved writes—while OpenTelemetry traces and Azure autoscaling keep agents fast and visible during peak leasing and reporting windows.
One control plane synchronizes agents working leasing pipelines, workplace SLAs, development RFIs, and investor packs. Observe–decide–act–confirm loops share policy checks and live feedback—so a facilities escalation, renewal exception, and NOI narrative do not contradict each other across the portfolio.
From first workshop to production agents, we follow a proven agentic delivery model—scoped for PropTech controls, portfolio complexity, and the stakeholders who must trust every automated action.
We shadow leasing desks, site teams, and asset managers to catalog where agents should triage tickets, score applications, or draft investor commentary—and set targets for SLA adherence, handle time, and exception rates.
ideyaLabs pairs PropTech engineering depth with the Agentic Layer your agents run on daily. You get teams who understand how properties operate—and middleware that makes automation fast, governed, and worth measuring.
We ship agents that triage facilities tickets, accelerate leasing, coordinate deals, and assemble investor packs—not generic copilots disconnected from your systems.
Production middleware powers every agent: multi-LLM routing, MCP gateways, RAG plus knowledge graph, and guardrails engineered for sub-2-second responses on Azure.
Deep integration experience across CRM, PMS, IWMS, MLS, ERP, and document vaults so agents read and write where your operators already work.
High-stakes paths stay semi-autonomous: agents prepare decisions; your teams confirm spend, access, legal distribution, and external investor sends.
Lease, policy, and financial answers include sources and confidence signals asset, legal, and IR teams can defend in audits and board reviews.
ISO 27001:2022-aligned practices, least-privilege tool access, PII masking, and distributed tracing are built in from sprint one.
Elastic Azure architectures handle leasing season spikes, month-end reporting, and multi-brand portfolios without degrading agent response times.
Programs tie to SLA performance, leasing throughput, exception volume, and reporting cycle time—the metrics owners and operators already measure.
Agents perform repeatable work your teams already coordinate manually: triage maintenance and access tickets with SLA context, draft lease and renewal communications grounded in policy, assemble comp summaries and diligence checklists for brokers, cluster RFIs for development executives, and build NOI and occupancy narratives with cited sources. Each action runs on the ideyaLabs Agentic Layer™—multi-LLM orchestration, MCP tools into CRM and PMS, RAG plus knowledge graph grounding, and guardrails—with human confirmation wherever fair housing, contracts, or investor distribution requires it.