A multifamily asset decision-intelligence product for ownership teams. AME connects operating evidence across an asset's lifecycle, identifies where plan and reality diverge, separates supported facts from blocked assumptions, requests the exact missing source, and routes bounded next actions to human review while preserving execution and outcome history.
Asset decisions unfold across acquisition assumptions, capital work, leasing, operations, market movement, ownership direction and later outcomes. The challenge is not just finding a variance; it is preserving the evidence and lifecycle around that variance without turning an unsupported explanation into fact.
AME models the asset as an evolving operating system. Property identity, source evidence, lifecycle state, plan-versus-actual observations, causal support, authorization, execution and later outcomes remain separate but connected. Deterministic code retains arithmetic authority; models may assist interpretation and evaluation without owning numeric truth.
When the evidence does not support movement, the engine can block the assumption and request the exact missing source. When the evidence is sufficient, it can route a bounded next action to human review and preserve the later execution/outcome state for comparison against the original decision.
Each item below is deliberately narrower than a product-readiness or superiority claim.
The then-current RC2 decision engine reached 100% statement and branch coverage across 1,825 statements and 500 branches while maintaining strict JSON contracts and deterministic numeric authority.
Persistence and tenant isolation have been exercised against live PostgreSQL row-level security, while authenticated browser flows have run through Firefox and WebKit with accessibility and query-isolation checks.
Validation includes reproducible container output, non-root and network-disabled runtime checks, ZAP passive DAST, vulnerability scanning, SBOM generation and CI-bound security gates.
API and web images have been published to Azure Container Registry at immutable digests, independently read back, and carried through signing/verification work so artifact identity remains separate from deployment or semantic truth.
Current cloud productization uses Azure identity, secrets, registry and container-runtime surfaces, with deployability/IaC defects surfaced and repaired under bounded validation before broader load, soak or resilience claims.
It does not claim a live production SaaS, completed external design-partner pilot, causal NOI lift, generalized predictive superiority, production SLA, certification, procurement/legal automation, or that model output can override deterministic arithmetic or evidence requirements.
The executed product body already includes deterministic decision logic, strict schemas, PostgreSQL/RLS persistence, authenticated browser behavior, container/security validation, immutable OCI custody and Azure productization surfaces. Selectively scoped paid pilots remain possible where an ownership, Asset Manager, Property Management Firm, brokerage, due-diligence or advisory use case can be bounded to the current evidence and success criteria.