Your Office.
Automated.
Zero Risk.

The intake agent reads the subject property record from your property management system — absorbing address, asset class, building age, GLA, occupancy, lease expiration schedule, and operating expense history. No manual data entry.

The comps agent queries the Digital Twin's integrated market data layer — screening transactions by geography, asset class, vintage, size range, and sale date. It applies quantitative adjustments for location quality, physical condition, occupancy at sale, and market timing. The agent documents every adjustment with its source and rationale.

A dedicated DCF agent reads the current rent roll, lease abstracts, and operating statement from the twin. It projects lease rollovers using market absorption data, applies renewal probability assumptions, models capital expenditure timing from inspection reports, and discounts at a risk-adjusted rate derived from comparable cap rate transactions. Outputs a 10-year IRR analysis with sensitivity tables across exit cap rate and rent growth scenarios.

The reconciliation agent weights the sales comparison and income approaches based on market evidence quality, data depth, and asset type norms. It flags outlier comps, notes assumption sensitivities, and produces a confidence interval around the concluded value — giving your analysts instant insight into where the model is firm and where judgment is needed.

The output agent assembles a formatted valuation memo — with executive summary, comparable grid, DCF output, sensitivity table, and appended data sources. The completed model surfaces for analyst review before any result is written to your appraisal management system. Full provenance. No silent updates.

Triggered automatically at month-end close, the collection agent pulls actuals from the property management system (rent collected, vacancies, operating expenses), debt service data from loan servicers, utility cost records, and maintenance work order completions — all into the Digital Twin simultaneously. No manual exports, no copy-paste.

The reconciliation agent compares monthly and year-to-date actuals against the approved annual budget for each property. It calculates NOI variance, occupancy variance, and expense variance by category — flagging items that exceed threshold variances and generating plain-language explanations for each significant deviation, drawing on lease events, work orders, and market conditions in the twin.

Calculates the full KPI suite for each asset: NOI, DSCR, occupancy rate, leasing velocity, rent-to-market ratio, effective gross revenue, capital expenditure as percent of value, and total return. Benchmarks each metric against the portfolio average, prior year period, and relevant submarket comparables in the twin's market data layer.

Drafts property-level and portfolio-level narrative commentary — summarizing the month's performance, explaining variances, flagging lease expirations and renewal risk in the upcoming quarter, and noting any properties requiring capital attention. Commentary is grounded entirely in data from the twin; no hallucinated claims.

Assembles the complete reporting package: executive summary, portfolio dashboard, individual asset tear sheets, variance commentary, and appendices. Packages by investor / fund / portfolio slice for tailored distribution. Surfaces for portfolio manager review — a 15-minute read, not a 5-day production effort.