Use casesTechnology & Data
0711 examples
Technology & Data
Self-service answers and reporting for the business, context assembled once, governance built once, and the platform layer that makes AI-native operations compounding.
This is the layer that distinguishes a platform from a point solution. It is configurable infrastructure that technology and product teams use to build new AI capability without engineering from scratch, and that business teams use to answer their own questions without a data team in the middle. Every feature built makes the next one faster.
Data it runs on
- Data Warehouse
- All connected sources
- API systems
Query
Ask anything.
A human or a machine asks any question of any data in plain language, in real time, without an analyst.
Ask any question, without an analyst
Anyone asks a question of any connected data in plain language and gets an answer in real time - across the warehouse, PMS, communications, maintenance and knowledge. No SQL, no ticket, no analyst in the middle.
Build a report as a business user
A business user describes the report they need and gets it, then keeps it running on a schedule - without a data team request or a place in the BI backlog.
Feature
Make it standard.
Intelligence converted into an everyday tool: a score, profile, report, alert, or trend that a team uses as a standard part of how they work.
Context assembled once
Transactional, conversational and knowledge context held together and governed once, so every capability built afterwards inherits it - no new integration, no new data model, no new governance review.
One governance layer
Testing, PII scrubbing, prompt guardrails, output validation and model monitoring applied across every workflow at once, rather than rebuilt inside each one or quietly skipped.
Scores and profiles, pre-built
Community, resident, prospect, conversation and employee scores and profiles available on connection, with 30 days of history backloaded so they are useful in days rather than quarters.
Real-time channel connection
Native connection to email and telephony delivers signal in minutes, where warehouse and file paths run on a daily cycle - which is what makes same-day action possible at all.
Warehouse write-back
Enriched intelligence - scores, profiles, classifications - written back to the operator's own warehouse schema. Full data ownership retained.
BI integration
Intelligence surfaced directly in existing BI tools - Tableau, Power BI, or any downstream system - via data feeds and widgets.
Action
Let it run.
An automated workflow or guided process that runs without manual intervention, or guides a person through a complex task step by step.
Studio workflow builder
Any team member describes a new workflow in plain language. It is built, tested and published without an engineering sprint.
Studio guide builder
Describe a new operational guide - for any role, process, or compliance requirement. It is sourced, structured, and kept current.
Data feed automation
Scheduled intelligence feeds to any downstream system - warehouse, CRM, BI tool, or API endpoint - on any cadence without manual export.
Every capability here runs on the same platform, the same governance layer, and the same fee. Adding the next use case does not require a new vendor, a new data pipeline, or a new contract.