A real estate investment firm that raises capital and develops and manages residential communities for cross-border buyers had outgrown the systems it started with. Deal and buyer records were split across spreadsheets, email, shared drives and chat, construction ran on Excel templates and personal experience, and finance reconciled payments by hand across seven entities. Leadership was being asked to adopt AI tools with no documented view of how the business ran. New Clarity mapped the six functions the company runs on, proposed twelve initiatives with a build-or-buy decision and a financial estimate on each, and delivered a twelve-month roadmap the firm owns, sequenced so that each initiative provides what the ones after it need.
Sales and accounting held different deposit figures because there was no single record of a deal. Approvals waited eight to ten days because decision rights had never been written down. Construction had no per-home record that finance, buyers and management could all read. Finance keyed the same payments across the entity stack by hand. There was no forward view of cash or project feasibility, so large commitments were made without one. A point tool would have read the same scattered data, and a data warehouse built first would have been a long, costly project started before anyone had agreed which workflows mattered.
One-on-one interviews of sixty to ninety minutes with leadership, sales and marketing, construction and project delivery, finance and administration, and customer service, held individually because people describe their own workarounds more completely without their manager present. From those, a current-state map of operations, reporting and handoffs with the weak points marked; a review of every tool in place, including the AI tools an outside marketing agency was operating, with a keep, configure, upgrade or replace call on each; and twelve initiatives, each written as a decision: adopt an existing product or build, what it returns, and the assumptions behind the number so the finance team can re-run it. An impact-versus-cost view sets the order.
Phase one, the foundation
Phase two, the operating spine
Phase three, the product side
Proof of funds, final buyer qualification and every approval stay explicit human decisions with a named reviewer and a review date on the record. Each initiative is specified with the record it writes to, who can see it and what it hands to the next step, so finance, buyers and management read the same figures. The data foundation is specified as a canonical registry, a time-sensitive store, hybrid retrieval and one interface for every agent, scoped to run on an ordinary database so that it does not require a dedicated administrator.
The firm finished with an agreed order of operations it can explain to its partners and investors, and a plan it can run with or without New Clarity. It has one list of every tool deployed on its behalf, an impact model its finance team can re-run as assumptions change, and a scoped specification for the data foundation its later AI work depends on. The plan's estimates cover the deposit disputes, the approval queue, the manual close across seven entities, and the forward view of cash the company did not have.