Gen AI POC Implementation

Simform helps you prioritize the right Gen AI use cases, build a PoC, and scale it to enterprise-wide implementation using Azure OpenAI, with clear evaluation criteria and architectural considerations.

Many organizations looking to adopt Azure OpenAI are uncertain about where to begin—from identifying the most impactful use cases to determining which models will actually deliver value for their customers and processes. Even experienced development teams may build proof-of-concepts that miss critical aspects of enterprise integration, data governance, and security controls required for production deployment.

We help you with a structured, risk-managed approach to leveraging generative AI so you can quickly validate high-impact use cases and showcase tangible value through functional prototypes.

Our ML engineers and AI specialists work collaboratively with your stakeholders and technical teams to help them explore Azure OpenAI's capabilities, test solutions in their specific context, and build implementations that improve both organizational processes and customer experiences.

Implementation Plan:

1. Azure OpenAI foundation and capabilities

• Your technical teams will gain a comprehensive understanding of Azure OpenAI models, capabilities, and enterprise features through technical demonstrations and production examples—the critical first step before planning your implementation.

2. Use case identification and prioritization

• We collaborate with business stakeholders to identify high-value automation and intelligence opportunities—from content creation and document processing to customer service and workflow optimization—to prioritize areas for immediate focus and implementation.

3. Gen AI PoC development and testing

• We architect and build a functional proof-of-concept using Azure OpenAI Service and Azure Machine Learning while handling everything from model selection, optimization, secure API integration patterns, and custom orchestration workflows to align with your business processes.

4. Controlled pilot deployment

• We help you test the Gen AI PoC solution within a specific department to evaluate its real-world performance, impact, and integration with existing processes and workflows. This includes analyzing feedback from the pilot phase and performing iterative improvements.

5. Enterprise-wide scaling and optimization

• Based on your pilot's success, we design an enterprise-wide Azure OpenAI implementation blueprint with defined security guardrails, monitoring thresholds (token usage, latency, response quality), and cost optimization frameworks. Our team establishes automated deployment pipelines, model performance tracking, and prompt governance practices to ensure your applications run efficiently at scale.

Key deliverables:

1. Fully functional Gen AI PoC tailored to your specific use case, that your team can directly interact with and test in real-world scenarios

2. Comprehensive blueprint detailing which Azure tools can handle specific tasks (e.g., SQL/CosmosDB for data storage, OpenAI for AI processing, etc.) to ensure your technical team understands how the components integrate

3. Practical guide with key recommendations on architectural aspects and non-functional considerations to prepare your teams for scaling the prototype into a full production system