The project starts with an initial consultation to understand the client's organizational goals, product portfolio, and challenges. A needs analysis identifies objectives, such as enhancing products with generative AI or creating new AI-driven offerings. The scope, deliverables, timelines, and success metrics are clearly defined. Data gathering follows, including a review of existing products, market research on AI trends and customer needs, and an assessment of the technical infrastructure to determine AI readiness.
A custom workshop is then designed with tailored materials and interactive sessions focusing on generative AI's applications relevant to the client's industry. The workshop introduces key AI concepts, covers case studies, and includes brainstorming and problem-solving activities. Post-workshop, the team collaborates to identify AI opportunities, assess their feasibility, and estimate the potential impact on ROI and competitive advantage.
The roadmap development phase ensures AI initiatives align with business objectives, prioritizes projects, and sets timelines. Resource planning includes budgeting, team structuring, and identifying the necessary technology. A risk assessment is conducted to recognize potential challenges, with mitigation strategies developed. The final step is engaging stakeholders, presenting the roadmap, incorporating feedback, and outlining an actionable implementation plan with change management support to ensure a smooth transition to AI integration.
We'll collect a little context about your business and help you identify ways to leverage AI as your competitive advantage.
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