Most organizations are caught in PoC Purgatory. 70% to 95% of AI experiments never reach production. Meanwhile, some early adopters report up to $3.70 in return for every $1 invested. What they did differently was solving for governance and infrastructure before scaling the model.
In this webinar, we show how to accelerate your company's AI pilots while designing them for production from day one.
We will walk through the case of a large Enterprise Architecture solutions provider, where we built an agent to cut document search times from 10 minutes to 5 seconds, helping non-technical users query complex enterprise data directly.
What we’ll cover in this 45-minute session:
- The 48-Hour Agent: How we used Azure AI Foundry’s model catalog to move from idea to functional PoC.
- Governance at Scale: Built-in guardrails for data privacy, bias monitoring, and compliance.
- Bridging the Data Gap: Using LLMs to automatically describe back-end entities and map system dependencies.
- Infrastructure for ROI: How to handle compute-intensive workloads without exceeding budget.
Who this is for:
CTOs, CIOs, Directors of Engineering, and Enterprise Architect who need a repeatable framework to deploy governed AI without a six-month lead time.
Speakers:
Raphael Smith, Director of AI Consulting at N-iX
Raphael helps enterprise leaders turn stalled AI pilots into funded production programs that withstand security, compliance, and board-level scrutiny.
Marta Beznos, Application Architect at N-iX
Architect behind complex AI initiatives of our clients, particularly in the Enterprise Architecture domain. Her work proves you can introduce strict governance without sacrificing delivery speed.
Register to join us →
About N-iX
N-iX is a global software solutions and engineering services company. We help enterprises across Manufacturing, Logistics, and Financial Services modernize their legacy systems and integrate production-ready AI.
