Many organizations are currently facing a common challenge: AI initiatives that remain stuck at the proof-of-concept stage.
Industry data shows that 70% to 95% of AI experiments never reach production. At the same time, leading adopters are already achieving up to $3.70 in return for every $1 invested. The key differentiator is not the model itself, but the underlying architecture, governance, and infrastructure strategy.
In this webinar, we will demonstrate how to accelerate AI initiatives while designing them for production from the outset.
We will present a real-world case involving a leading enterprise architecture solutions provider, where we developed an AI agent in 48 hours that reduced document search times from 10 minutes to 5 seconds, enabling non-technical users to interact directly with complex enterprise data.
This session will provide a practical framework for delivering scalable, governed, and cost-efficient AI solutions.
Who should watch?
This session is designed for CTOs, CIOs, Directors of Engineering, and Enterprise Architects seeking to:
- Transition AI initiatives from experimentation to production
- Establish scalable and compliant AI frameworks
- Reduce time-to-value while maintaining governance standards
- Develop repeatable approaches for enterprise-wide AI deployment
Ready to learn more?
Successfully scaling AI requires more than experimentation — it demands a structured, production-first approach.
Join experts from N-iX to explore how organizations can deploy AI solutions that deliver measurable business outcomes within days, not months.
Access the full webinar recording
Join experts from N-iX to explore how organisations can deploy AI solutions that deliver measurable business outcomes within days, not months.
