Client: Percent
Percent Servicios Inmobiliarios, with 150 employees, 14 offices and a presence across several provinces in Spain and Portugal, operated with data split across several generations of CRM, spreadsheets, email and channels without shared context. The challenge was to build one operational memory without exposing sensitive information or delegating critical decisions without control.
NextAI built Sophia: a property operating system with unified data, eight inbound channels, 31 automated processes, a matching engine, a 24/7 voice agent, contextual assistant and role-based governance. Its evolving AI layer replaces earlier models without redesigning processes.
Anatomy of the solution
From input to outcome: explore the four parts of the journey.
Eight channels, calls, messages, portals and documents.
Explanatory diagram based on the described solution. It simplifies the journey; it is not a deployed infrastructure diagram or a live monitor.
Reading the project
In a property network, contacts, more than 100,000 properties, more than 2 million photographs, opportunities and documents belong to the same business. Sophia unified that context, built complete document engines and turned internal automations into scalable capabilities for the network and third-party services.
The architecture combines five layers: data, processes, intelligence, interaction and governance. Deterministic rules maintain consistency; agents handle ambiguous information; traceability preserves human control over relevant decisions.
Connection to today’s offering
The context connecting the company
Explore the serviceCurrent relevance and possible evolution
Percent illustrates an Enterprise Brain in production: Super apps materialise the workspace and Superagents handle specific journeys on shared memory.
This connects the case experience to our current services. Proposed extensions are not presented as features already delivered.
Method and scope
Results compare the same system and publish unit, window and data type. Median time to first contact moved from 68 to 13.2 hours and new duplicates from 64 to 1 per week.
Verified operational metrics and clearly identified estimates are published. Personal data, credentials, sensitive internal rules and confidential financial detail are omitted; results are not a promise for other organisations.
Basis of this analysis: the description, capabilities and stack published in this case. No new measurements are added and no independent audit of its results is implied.
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