Watch Incorta Builder go from a plain-language prompt to a live, governed app on real-time data, with write-back and agentic workflows built in.
Most enterprise software makes you choose between speed and governance, or flexibility and security. Building on live data usually means waiting on a data engineering team, and deploying fast usually means bypassing your controls. This end-to-end demo shows how Incorta Builder removes that trade-off.
It starts with a plain-language description of the app you want, not a Jira ticket. Smart Agent reads the description and writes real Python and Streamlit code, using the Incorta semantic layer so it already understands your data, certified metrics and business logic. The moment the app renders, it's connected to live data through Direct Data Mapping, which maps operational sources such as ERP, CRM and HCM at row level with no pipeline, staging environment or stale copy.
The resource allocation app in the demo is fully interactive: filter by team, drill into project allocation and spot capacity gaps, with no SQL required. When a user updates an allocation or flags a gap, the change writes back to the source system, and agentic workflows route approvals, notify stakeholders and log every step. Publishing is just as fast. Assign the app to user groups, and row-level security, role-based access, credential management and audit trails are inherited automatically. One security plane, one audit trail and one access model across data, apps and AI.