What is AI in production?
AI in production is an AI system integrated into an organization's real operation —with live data, human control and traceability— and not a prototype or demo.
The distinction matters because proving that something works and running it every day are different things. A system in production consumes real data, integrates with the tools the team already uses, keeps a person at the decision points (see human-in-the-loop) and leaves a record of what happens, under an AI governance framework.
Why it matters
Most organizations accumulate AI pilots that never cross over into the operation. The value is not in the demo, but in the system that does the work for real, day after day, reliably and auditably. Closing that gap is the real challenge of AI adoption.
How we approach it at Codara
We take your AI use cases from prototype to daily operation with Codara's agentic orchestration layer: we connect it to your data and tools, with traceability and human review, and hand it over so your team can run it.
Preguntas frecuentes
Why do so many pilots never reach production?
Because a demo works under controlled conditions, but production demands live data, integration with existing systems, traceability and human oversight. Without that work, the pilot stays a test.
What changes between a demo and production?
A demo shows that something is possible; production runs it reliably and repeatably, connected to real data, with human control at the critical points and a record of what happens.