AI Application Development PoC - 12 Weeks

Oakwood will accelerate your journey to innovation with our AI Application Development Proof of Concept (PoC). This engagement is designed to help organizations bring an AI-powered application concept to life, showcasing its potential value and business impact in a limited-risk environment. Leveraging Microsoft Azure’s AI capabilities, Oakwood will collaborate with your team to rapidly prototype and test a use case tailored to your business needs. Whether you're exploring automation, predictive analytics, or personalization, this PoC helps you validate the feasibility and benefits of your AI application before scaling it across your organization.

Delivery Approach

• Ideation & Scoping Phase

  • Conduct workshops with key stakeholders to define business objectives, application use case, and success criteria.
  • Identify data sources, required integrations, and AI capabilities (e.g., NLP, machine learning, LLM, computer vision, etc.).

• Design & Development Phase

  • Build a lightweight, functional prototype of the AI application.
  • Leverage Microsoft Azure AI tools and frameworks to implement core AI features aligned with the use case.

• Testing & Validation Phase

  • Test the PoC in a real-world or simulated environment to validate functionality and performance.
  • Gather feedback from end-users and stakeholders to refine the prototype.

• Roadmap & Recommendations Phase

  • Provide insights on scaling the application from PoC to production.
  • Deliver a high-level plan for operationalizing and maintaining the AI application.

Benefits

• Risk Mitigation: Validate the feasibility and impact of AI use cases before investing in full-scale development.
• Business Alignment: Ensure the AI application aligns with your strategic goals and delivers measurable value.
• Accelerated Innovation: Quickly bring AI-powered solutions to life with Oakwood’s expertise and Azure tools.
• Scalability: Receive a clear roadmap for expanding the prototype into a production-ready application.

Deliverables

• Functional PoC prototype demonstrating the selected AI use case.
• Success metrics and validation report from testing and feedback phases.
• High-level architecture for scaling the PoC into production.
• Recommendations for operationalizing and maintaining the AI application.

Engagement Timeline

• Week 1–2: Ideation and scoping workshops
• Week 3–8: Prototype design, development, and testing
• Week 9–12: Feedback gathering, refinement, and roadmap delivery