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Care Frame: Complete AI management
While RISE provides the strategic framework for implementation, CARE guarantees proper management and control. Care means creating, adapting, implementation and development – four basic elements of effective management of AI.
Creation: establishing the basics of management
The creation phase focuses on the development of complete management structures that guide the development and implementation of AI. Organizations establish policies, procedures and controls that ensure that it is responsible for the use of AI, while maintaining compliance with regulatory requirements.
Adaptation: Activate Flexible Realization
During the adaptation phase, organizations focus on integrating management control into their AI realizations while maintaining the flexibility to meet changing business needs. This balance guarantees that management allows, not hinders innovation.
RUN: Maintain operational achievements
The implementation phase emphasizes the active management of AI systems within the established management frameworks. Organizations monitor efficiency, guarantee compliance and maintain operational efficiency, while managing the related risks.
Evolve: Providing sustainable growth
In the Evolve phase, organizations focus on the continuous improvement of their management structures, ensuring that they remain effective as AI capabilities and regulatory requirements develop.
Integration Power: Rise + Care
While each frame provides considerable value independently, their true power emerges through integration. Rise and care frames work together to create an overall approach to the AI strategy and management that provide measurable business results.
Main Advantages of Integrated Approach
Organizations applying both frames may expect:
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Accelerated implementation: Faster performing II initiatives
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Strategic alignment: Improved alignment between AI and business goals
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Improved compliance: Better risk management and conformity results
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Resource efficiency: More effective use of resources
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A lasting advantage: A sustainable competitive advantage by structured AI acceptance
First steps with rise and care
The application of new frames may seem discouraging, but the process can be broken into manageable steps:
Evaluation
Start by evaluating the current AI’s maturity and management capabilities of your organization. This basic understanding helps to prioritize the areas for improving and managed the implementation of the frame.
Planning
Develop a step -by -step implementation plan that introduces frame elements in a logical sequence. Focus on quick profits as you build on a complete execution.
Implementation
Start with pilot projects that demonstrate the value of the frames. Use these early successes to build inertia for a broader performance.
Optimization
Continuously refine your approach based on real world results and changing business needs.
Watching Forward: The future of the strategy and management of AI
As AI continues to transform business operations, the need for structured approaches for implementation and management is becoming more and more critical. Raising and care frames provide organizations with proven navigation methodologies on this sophisticated landscape while ensuring the creation of sustainable value.
Make the next step
Are you ready to transform your organization’s approach to AI implementation and management? Contact RockCyber today to learn more about how the rise and care frames can help your organization achieve its AI goals while ensuring proper management and conformity.
Additional resources
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Download our WhitePapers and additional resources
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Plan AI strategy and management evaluation
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Join our upcoming Webinar TV series
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Contact our AI strategy experts
For Rockcyber
Rockcyber helps organizations to navigate the complexity of the application and management of AI through proven frameworks and methodologies. Our team of experts has brought decades of combined experience in technological strategy, risk management and regulators.
Frequently asked questions
How long does it usually take to apply both the rise and care?
The typical time line covers 6-7 months for initial implementation, although this may vary depending on the organizational size and complexity. The frames are intended for gradual execution:
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Months 1-2: Base phase (study + creation)
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Months 3-4: Implementation phase (performance + adaptation)
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Months 5-6: Optimization Phase (Sustain + Run)
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Month 7+: A phase of maturity (evaluation + evolution)
Many organizations are beginning to see tangible benefits within the first 90 days.
How do the rise and care help to observe the regulatory?
Both frames are intended to be aligned with the basic regulations and standards for AI, including:
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EU AI action requirements
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NIST AI Risk Management Frame
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ISO 42001 AI AI management systems
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Industry -specific regulations
In particular, the care framework includes specific controls and processes for ensuring continuous compliance, while RISE ensures that conformity reasons have been built into and initiatives from the beginning.
What resources are needed to successfully implement these frameworks?
Successful performance usually requires:
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Executive Sponsor (Level C commitment)
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Specialized Project Team (3-5 Major Members)
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Experts from the subject of key business units
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Participation of the Security Team
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Resources to study and activate
Rockcyber provides performance support, including training, templates and expert guidance, to ensure the implementation of resources.
How do these frameworks from other AI approaches differ?
Rise and care frames are unique in several ways:
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An integrated approach combining strategy and management
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Practical, business -oriented performance methodology
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Built -in flexibility to adapt to organizational needs
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Focus on measurable business results
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Complete Coverage of AI’s life cycle
Unlike stand -alone control frames or strategies, growth and care work together to provide both effective implementation and proper control.
What measurable benefits can organizations expect from applying these frames?
Organizations usually see improvements in several key indicators.
Operational Advantages:
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Reduced AI project implementation time
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Improved use of resources
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Reduced operating costs
Risk management:
Business Value:
Most organizations begin to measure improvements within the first quarter of implementation, with the full benefits being realized when the frames are mature.
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