Real-estate management software runs at the intersection of three pressures. Operations teams want fewer clicks per workflow, owners want clean monthly reporting, and tenants want digital surfaces that match the apps they use everywhere else. Most portals optimise for one constituency and ask the other two to live with what's left.
Two surfaces, one brand.
The corporate website and the operating portal are different products with different jobs. Trying to merge them into one stack creates a marketing site that's too heavy and a portal that's too thin. Trying to separate them with no shared design system creates a brand that does not survive contact with the product.
The portal is the operations team's primary working surface.
It is not a viewing tool. Speed, reliability, and workflow ergonomics are functional requirements, not polish items.
AI is for the workflows that quietly consume hours.
Document classification, lease-clause extraction, maintenance-request triage, owner-statement drafting — the work that operations teams do on repeat. AI here is automation against a measurable workflow, not a chat surface bolted on the side.
The marketing site and the portal share the brand and component library, but are engineered as independent products with their own constraints. The brand survives; the products perform.
Every portal surface was scoped to a workflow with a measurable outcome — request raised, lease signed, statement delivered. UX decisions were tied to throughput on those workflows, not to surface aesthetics.
AI features were applied where there was an existing workflow with measurable steps, so the platform could compare before-and-after honestly inside the engagement.
Statements, communications, and dispatch actions stop for human approval at policy-defined thresholds.
Every AI-assisted classification, extraction, or draft action emits a structured decision trace, readable by operations leadership without engineering escort.
Dedicated engineering pod against a written SOW under the Sense7ai MSA — web engineers for the marketing site, full-stack engineers for the portal, a mobile engineer for the companion apps, an ML engineer for the AI workflow components, and a designer for the shared system. Two-week sprint cadence with operations-team demos; sprint review document each fortnight. Monthly steering on roadmap and risk; quarterly executive review on operating outcomes. Stack: TypeScript (Next.js marketing site; React portal SPA), React Native (mobile), Python (FastAPI workflow services, scikit-learn / classifier stacks for AI components), PostgreSQL, Redis, AWS deployment.
A manifest of the compliance controls applied in this engagement, with each attestation traced to the system that implements it.
Encryption at rest (AES-256) and in transit (TLS 1.2+); role-scoped access
Data-subject access, deletion, and portability workflows mapped to GDPR, CCPA, and DPDPA
Structured decision traces for AI-assisted classifications, extractions, and drafts
Threshold-defined approvals on statements, communications, and dispatch
Information security, data privacy, incident management, cloud/DevOps
The Infrastride corporate website and the Infrastride real-estate management portal Sense7ai engineers are in production use across Infrastride's operations. Operations workflows, tenant-facing surfaces, owner reporting, mobile companions, and AI-driven workflow automation all run inside the platform today.
Specific operational throughput numbers, occupancy and arrears metrics, AI-feature adoption rates, and workflow-time deltas are held back until Infrastride authorises publication in writing.
