A 28-suite location where every professional runs their own business inside the building — now run end to end on a platform built for the whole model rather than for one address.
A multi-tenant location sits in an unusual operational position. On paper it is a single operating business. In practice it is a landlord, a marketing department, a compliance function and a support desk for a building of independent operators — each with their own clients, their own schedule, their own insurance and licensing, their own communications.
The owner is not running those businesses. They are running the operating system that lets each of them run itself.
The tools existed and each one worked. A CRM held the leads. Scheduling and e-signature were handled. Property management tracked the building. What did not exist was the connective tissue: one place where a full building's activity became a single operating picture, where a missed touchpoint in one system triggered an action in another, where the owner could see what was happening without checking five places.
Every hour of attention the model needs scales with the size of the building. Hours do not. Without integration, the choice is between being present for everything and accepting that things fall through.
Not an integration. An operating system for the model — IMAGE OS — covering the full life of a location: finding the next site, opening it, filling the suites, marketing it, running the floor and closing the books.
It runs in production across a web platform for the operator, a native iOS application, a professional-facing portal, a support concierge and a real-time voice agent, on 128 serverless services. Nine capability domains sit on one data spine: site selection and underwriting, content and marketing, advertising, communications, day-to-day operations, financials, brand and print, reputation, and onboarding.
The existing tools were not replaced. The CRM stays the system of record and the messaging platform keeps sending; the platform sits above them and ties them together.
The platform in detail. Capabilities, the engineering output across ten repositories, the architecture with its resilience and scale design, and the governance framework — with screenshots of the running product: cadenceadvisers.com/imageos
No part of the platform is specific to one brand or one building. The operating model, the standards and the scoring rules are configuration, not code — so a second location is a configuration and a second brand is a deployment, rather than a fork somebody has to maintain.
The line between what heads of network control and what a local owner may change is defined explicitly: rules and assumption sets are published centrally while each operator keeps their own overrides.
Tenant data is discarded at session end while resolution patterns are promoted to a shared store, so marginal cost per deployment falls as deployments are added.
The platform runs under budget guardrails that make runaway spend structurally impossible, kill switches at every layer from a single agent to the whole system, human approval on every outward-facing action, and deliberate data boundaries between tenants.
Every architectural decision, its rationale and its author are written to a queryable record as it is made — more than three thousand entries. Any question about what the system did, and why, is answered by a query against that record.
The platform is live and in daily use, with a second deployment running for a Massachusetts nonprofit covering youth program operations, compliance, events, donations and grant writing. It is under active development.
Client name withheld. Figures are counted from the systems themselves rather than estimated.
Every engagement starts the same way: find where the attention is going, and whether a system could hold it instead.