AI & Innovation Resource Center
AI & Innovation Resource Hub
Explore resources including templates, tools, and strategies for AI and innovation.
#1 Self Assessment
By evaluating your confidence in cognitive, interpersonal, self-leadership, and digital literacy skills, you gain valuable insights into your strengths and areas for development. This assessment empowers you to identify specific skill gaps, set actionable improvement goals, and build new capabilities.
#2 Validation of Generative AI Potential
The template supports to assess the feasibility and value of AI solutions. It begins by defining the business problem and desired outcomes, then delves into evaluating the AI value chain, compliance, and risk factors. The template also considers the organization’s operational readiness and maturity level to support AI implementation.
#3 Design Thinking for AI
The Design Thinking for AI Canvas merges design thinking with AI development. By focusing on user needs, data, and AI solutions, teams can create innovative and user-centric AI applications.
#4 Check List – Application of AI & Innovation
The checklist is a comprehensive tool for guiding AI and innovation projects. It ensures that key elements are considered throughout the project lifecycle. By focusing on 4 key areas (see steps 1-4) the checklist helps teams navigate the complexities of AI implementation.
#5 Impact Implementation Matrix
The Matrix is a strategic tool for prioritizing AI initiatives. By evaluating potential AI applications across three dimensions – function, company, and industry – businesses can assess both the potential impact and the complexity of implementation.
#6 Design Thinking for Humanity
The Canvas helps developing innovative solutions that address complex global challenges. By combining design thinking, ecological thinking, systems and exponential thinking, it encourages a deep understanding of the problem’s root causes, behavioral factors, and long-term consequences.
#7 Check-List AI Principles for Leaders
The AI Principles checklist for leaders provides a structured framework for developing a robust AI strategy. It covers essential elements such as strategic vision, capability building, ethical considerations, and regulatory compliance.
#8 AI Strategy Canvas
The AI Strategy Canvas is a dynamic tool for capturing and visualizing the evolution of an AI strategy. It serves as a centralized repository for documenting key elements such as use cases, focus areas, policies, and other critical information.
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#9 Strategic Choice Template
The template provide a framework for documenting potential future scenarios. These scenarios, developed through generative AI or traditional methods, offer valuable insights into potential challenges and opportunities.
#10 AI Opportunity Map
The AI Opportunity Map is a tool for identifying and prioritizing AI initiatives. It involves brainstorming potential tasks, categorizing them by complexity, and mapping them onto the opportunity map. By analyzing the distribution of tasks, teams can determine the most suitable AI approach.
#11 AI Ecosystem Design Canvas
The AI Ecosystem Design Canvas maps out an ecosystem’s core elements, from user needs to value streams and business models. It facilitates collaboration, innovation, and value creation among diverse stakeholders.
#12 AI Ethics Canvas
The AI Ethics Canvas offers a structured framework for assessing and mitigating ethical risks. By systematically evaluating
fairness, explainability, transparency, empowerment, privacy, and robustness, teams can identify potential issues, develop concrete mitigation strategies, and ensure responsible AI development.
#13 AI Monetization Canvas (Vendor)
The Templates provide a structured approach to developing and evaluating monetization strategies. Begin by generating diverse monetization models. Position these models on a grid and select the most promising model.
#14 AI Capabilities Assessment
The AI Capability Assessment template evaluates essential organizational skills for AI and innovation on a 5-point scale, identifying strengths and areas for improvement.
#15 AI Regulation Canvas
The AI Regulation Canvas aligns AI use cases with applicable regulations. By mapping use cases against data usage and outputs, organizations can identify legal and regulatory requirements to ensure compliance and mitigate risks.
#16 AI Regulation Check-list
The check-list is essential for navigating the complex regulatory landscape of AI. By systematically addressing questions about purpose, human oversight, regulatory compliance, and risk management, organizations can identify potential challenges and develop strategies to mitigate risks.
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#17 AI Productivity Case Selection
The AI Productivity Use Case Selection template helps
prioritize AI initiatives by assessing their potential impact on different organizational functions. By categorizing use cases and benchmarking their expected outcomes, businesses can make data-driven decisions about resource allocation and AI investment.
#18 Customer Journey AI
The Customer Journey AI Template helps visualize how AI can enhance customer experiences. By mapping the current journey, identifying pain points, and designing AI-driven interactions, businesses can create value-added experiences and justify AI investments.
#19 AI Data Source
The AI Data Source Template facilitates the identification and evaluation of relevant data sets for AI projects. By categorizing data sources and their intended use cases, organizations can assess data dependencies and potential limitations.
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