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Step-by-step roadmap for introducing and successfully establishing AI in various organizational environments
Step-by-step strategies for AI adoption and establishment for startups and small and medium-sized enterprisesGroup3~5 person startupSmall and medium-sized enterprises with 10 or more employeesTargetStep-by-step roadmap and considerationsStep 01. RecognitionStep 02. Initial UtilizationStep 03. Departmental IntegrationStep 04. Company-wide AutomationStep 05. Data-driven UtilizationStep 06. Cultural TransformationKey elements for successful introductionConclusion and Challenge
Step-by-step strategies for AI adoption and establishment for startups and small and medium-sized enterprisesGroup3~5 person startupSmall and medium-sized enterprises with 10 or more employeesTargetStep-by-step roadmap and considerationsStep 01. RecognitionStep 02. Initial UtilizationStep 03. Departmental IntegrationStep 04. Company-wide AutomationStep 05. Data-driven UtilizationStep 06. Cultural TransformationKey elements for successful introductionConclusion and Challenge
Step-by-step strategies for AI adoption and establishment for startups and small and medium-sized enterprises
To all startups and small and medium-sized businesses considering AI adoption
AI Visual Director Mintbear 2024.12
Let's leave out large corporations.
We review step-by-step strategies for systematically introducing and establishing AI in various corporate environments, including startups with 3 to 5 employees and small and medium-sized enterprises with 10 or more employees.
AI adoption is not just a technology trend. It is the most powerful tool that can prepare an organization for the future, but it is also the most powerful inflection point in itself.
Do the members of the organization recognize the potential of AI as a tool or as a future partner? Are practitioners defining specific roles and problems that can be solved with AI? Can they select the most effective AI technology that can be implemented immediately? Can they clearly define the goals and outcomes that will be achieved?
Let's clearly define the tasks and implementation methods to be considered at each stage, apply differentiated approaches according to the size of the organization, and minimize the burden of change management on the company while building sustainable AI utilization capabilities.
For example, in the initial introduction stage, you can try simple automation tasks or conduct small pilot projects to check the performance of AI models through data organization. Let's start with specific results while gradually improving work efficiency. In the longer term, you can expect a real increase in sales by strengthening collaboration between departments, automating repetitive tasks, and executing specific marketing campaigns.
The important thing is that these challenges should be internalized naturally based on the voluntary participation of the organization and become established as a sustainable and flexible organizational culture. It is not something that can be completed with one training session or the introduction of one application.
In the era of AI transformation, postponing change is a relatively backward choice. Even if it is difficult, today's challenges and discussions will become a stepping stone for the next technology and will operate as new possibilities.
The skills and challenges you review in 2024 will lead to opportunities for improvement in 2025. But if your organization postpones change, it may first encounter those challenges in 2025.
Please review below for survival.
2024.12 Mint Bear
Group
3~5 person startup
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Pros: Flexible organizational structures and rapid decision-making allow for small-scale proof-of-concept (PoC) deployments and rapid feedback-improvement cycles from the beginning.
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Feature: A small number of core members who have to perform various tasks simultaneously can effectively adapt through the introduction of experiential AI.
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Limitations: AI technology capabilities that need to be introduced quickly, or lack of AI technology review personnel, and lack of experience in dividing tasks. Difficulties in securing technology information and structuring processes in the early stages of introduction.
Small and medium-sized enterprises with 10 or more employees
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Advantages: With established business processes and a variety of stakeholders, you can attempt a systematic transition by identifying specific needs and setting introduction points.
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Limitations: Since flexibility is already low, check the silos between departments along with the will to change of the CEO, key people, and each department manager. It requires coordination between departments and restructuring of legacy systems.
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Strategy: By utilizing Kotter's change management model, it is possible to minimize resistance at each stage for all members and apply practical change management strategies.
Target
Strengthening organizational capabilities through the use of AI technology: Go beyond simple efficiency improvements to automate tasks, generate innovative ideas, and strengthen data-based decision-making systems to increase productivity and creativity across the organization.
Customized approach: We closely analyze the size and maturity of your organization to design an AI adoption strategy that is suitable for each stage, and lay the foundation for continuous growth to secure long-term competitiveness.
Sustainability through cultural change: AI becomes more than a tool within the organization; it becomes a natural part of the culture, enabling all members to use AI to contribute more creatively and strategically.
Step-by-step roadmap and considerations
Step 01. Recognition
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Key challenge: Raising awareness of AI technologies and their potential within the organization.
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Key initiatives: external expert lectures, leading company case studies and technical training, and internal sharing.
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A simple workshop where all members discuss the potential uses of AI and sketch out ideas.
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Formation of initial consensus through introductory sessions for department heads, needs checks at the team member level, and operation of an in-house forum.
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Expectations: All members will sympathize with the need for AI adoption and be prepared to explore the potential application of AI in their respective roles.
Step 02. Initial Utilization
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Core task: Pilot AI in limited areas to verify initial results and identify areas for improvement.
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Key Measures: We will pilot specific tasks such as drafting documents, responding to customer inquiries, and organizing data using AI tools such as ChatGPT. This will at least improve work efficiency in the short term, and we will continuously improve the application areas and processes based on the feedback collected after the PoC.
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Startups: Try immediate PoCs centered on core business and verify improved processes, results, and performance in a short period of time.
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Small and medium-sized enterprises: Conduct a pilot application targeting the test department, share the results after the experiment for 2 to 4 weeks, and derive specific improvement plans for the next step.
Step 03. Departmental Integration
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Core tasks: Analyze work processes by department, expand application of AI to repetitive and inefficient tasks, and improve productivity and quality.
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Key initiatives: Process mapping, automation and adoption of specialized AI solutions.
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Startup: If the department is not clear, identify and apply AI utilization points by task.
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Small and medium-sized businesses: Set AI KPIs that reflect departmental requirements and regularly review performance.
Step 04. Company-wide Automation
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Key tasks: Review the possibility of linking corporate systems with AI and introduce company-wide process optimization and automation.
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Key initiatives: Strengthening IT governance, including data standardization, model management, and establishing quality and security standards.
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Startups: Small process scale makes it easy to redesign entire business processes around AI.
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Small and medium-sized enterprises: Plan to link existing legacy systems with new technologies and promote collaboration between departments.
Step 05. Data-driven Utilization
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Key challenges: Reorganizing or preparing corporate data in a form that can be utilized by AI and building a real-time decision-making system.
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Key Measures: Build a system to prepare, collect, and automate machine learning data. Then, design it to be used as an analysis tool for establishing and executing marketing strategies.
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Startup: Since it is in the early stages, it is possible to establish a data collection and organization strategy and manage small data assets efficiently. However, it is lacking in operational staff and resources.
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Small and medium-sized enterprises: Most of the data is scattered in a form that makes it difficult to utilize AI. This needs to be organized systematically and the possibility of utilizing the data needs to be increased through practical projects for quality improvement.
Step 06. Cultural Transformation
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Core task: Embed AI into the organizational culture so that all members can naturally use it as a new business partner.
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Key measures: operating education and workshops, sharing success stories, reflecting AI utilization in performance evaluation and compensation, forming an in-house technology introduction community, and linking with external communities.
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Startups: Naturally establish AI utilization methods by utilizing a flexible cultural environment. Build an organizational culture that voluntarily adopts and changes.
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Small and medium-sized enterprises: Introduce a system to review step-by-step changes and verify the effects and challenges of introduction at each step to promote continuous improvement.
Key elements for successful introduction
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Clear goals and vision: The leader clearly states the goals and vision for AI adoption and encourages the entire team to share them.
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Participation of key personnel: Small organizations should have full participation, while small and medium-sized organizations should designate AI ambassadors for each department, but apply it as a company-wide movement.
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Collaborate with the AI community: Provide specific AI technology information and leverage the community to understand the latest trends and practical application cases.
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Strengthening data management capabilities: securing high-quality data, introducing systematic management methods, and establishing ethical and safe data utilization standards.
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Strengthen staff capacity: Improve practical technology adoption capabilities through regular training, external seminars, and online platforms.
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Continuous improvement and reward system: Setting KPIs is important, but it is important to induce employee participation and motivation in the next project through a practical reward system that focuses on qualitative evaluation and reflection of improvement points.
Conclusion and Challenge
In this way, we present a roadmap for implementing AI adoption in stages according to company size.
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Startups: Generate early wins through rapid pilot and improvement cycles.
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Small and medium-sized enterprises: Reducing internal resistance and gradually expanding AI utilization through change management theory and systematic approach.
AI technology should not simply be a goal, but a core practical tool that drives continuous change and growth in organizations. It should become a long-term innovation driver in addition to creating short-term results.
Based on a deep understanding of AI, the representative must clearly set the ultimate vision and goals of AI adoption and delegate them to the working-level staff with specific and comprehensive support and direction.
Key men must work closely with each department to develop a practical implementation plan and effectively coordinate against strong internal resistance. They must lead a sustainable culture through concrete results, not through technology introduction.
Practitioners should actively explore applicability in the workplace, suggest improvement plans for problems that arise in the early stages, and provide realistic solutions.
By supporting the natural establishment of AI technology through a collaborative organizational culture in which all members participate, companies can secure sustainable competitiveness and prepare for future challenges.
I hope that this will be reviewed as a way to improve the constitution for the survival of the organization and all its members, rather than as a vague and grand project.
Now let's get started.
2024.12 Mint Bear
Lectures and consulting projects
In line with the above goals, we periodically conduct corporate customized lectures, project implementation, and consulting.
Step by step roadmap with mintbear
Step 01. Recognition
Step 02. Initial Utilization
Step 03. Departmental Integration
Step 04. Company-wide Automation
Step 05. Data-driven Utilization
Step 06. Cultural Transformation