AI Application Modernization Assessment - 6 Weeks

Oakwood engages with clients to transform their legacy applications into intelligent solutions that drive business value. This tailored engagement evaluates your existing application portfolio to identify opportunities for AI integration and enhanced functionality.

By leveraging Microsoft’s Azure AI capabilities, we help you envision how modernizing your applications with AI can improve performance, streamline workflows, and deliver a competitive edge. Designed for SMCs and enterprise organizations, this assessment positions your applications for the future of business innovation.

Delivery Approach

1. Discovery a. Conduct workshops with key stakeholders to understand current application use cases, challenges, and business goals. b. Review the existing portfolio of legacy applications, including architecture, integrations, and data dependencies.

2. Analysis Phase a. Assess each application's potential for AI integration, focusing on areas such as automation, personalization, predictive analytics, and decision-making. b. Evaluate technical readiness, including application scalability, data availability, and infrastructure.

3. Recommendation Phase a. Provide a prioritized roadmap for modernizing applications with AI capabilities. b. Deliver a high-level plan for implementation, including actionable steps for architecture updates, data alignment, and AI feature integration.

Benefits

1. Informed Decision-Making: Gain a clear understanding of where AI integration can deliver the most impact, helping you prioritize investments.
2. Strategic Insights: Receive expert analysis on your application portfolio’s readiness for AI, including technical feasibility and potential ROI.
3. Risk Mitigation: Identify and address potential challenges in AI adoption early, ensuring a smoother implementation process.
4. Tailored Roadmap: Obtain a detailed, actionable plan that aligns AI opportunities with your business objectives and resources.
5. Foundation for Innovation: Build the groundwork for a modernized application portfolio that supports long-term growth and competitiveness.

Deliverables

1. Comprehensive assessment report outlining opportunities for AI integration across your application portfolio.
2. Gap analysis detailing technical and data readiness for AI capabilities.
3. Prioritized modernization roadmap with actionable recommendations for AI infusion.
4. High-level implementation plan highlighting architecture updates, data alignment, and AI features.

Engagement Timeline

1. Week 1–2: Discovery workshops and stakeholder interviews
2. Week 3–4: Application analysis and AI opportunity assessment
3. Week 5–6: Roadmap creation and delivery of recommendations