Recognizing and assessing strategic AI potentials

AI Use Cases: Identify & Prioritise

Which AI use cases deliver the highest ROI for your organisation?

  • 01Systematic identification of high-potential AI use cases
  • 02ROI-based assessment and prioritization of AI projects
  • 03GDPR-compliant use case development with compliance integration
  • 04Strategic roadmap for sustainable AI transformation
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11+Years of experience
120+Employees
540+Projects
ISO 27001certified

Systematic AI Use Case Identification: From Idea to Business Case

The biggest mistake in AI adoption: prioritising the wrong use cases. ADVISORI reverses this logic: we start with your business goals and identify AI use cases with the best effort-to-value ratio. Our approach covers four dimensions: business impact (revenue potential, cost savings), technical feasibility (data availability, model maturity), regulatory compliance (EU AI Act risk class, GDPR), and strategic fit (make-or-buy, scalability, time-to-value). The result: a prioritised AI roadmap with concrete business cases.

We offer you a comprehensive service for the strategic identification and assessment of AI use cases, from initial potential analysis through ROI assessment to the development of a prioritized implementation roadmap.

6 service modules

Service scope

01

AI Potential Analysis & Strategic Assessment

Comprehensive assessment of your business processes to identify strategic AI potentials and value creation opportunities.

  • Analysis of current business processes and data landscape
  • Identification of automation and optimization potentials
  • Assessment of strategic AI application possibilities
  • Development of an AI opportunity matrix
02

Use Case Discovery & Categorization

Systematic identification and structured categorization of AI use cases by business value and implementation complexity.

  • Workshop-based use case identification
  • Structured categorization by value potential
  • Assessment of technical feasibility
  • Documentation and specification of use cases
03

ROI Assessment & Business Case Development

Detailed analysis of return on investment and development of well-founded business cases for prioritized AI use cases.

  • Quantitative ROI analysis and cost-benefit assessment
  • Development of detailed business cases
  • Risk assessment and sensitivity analysis
  • Investment planning and budget recommendations
04

Feasibility Studies & Technical Assessment

Comprehensive technical assessment of identified use cases with a focus on implementability and scalability.

  • Technical feasibility assessment
  • Data quality and availability analysis
  • Assessment of IT infrastructure requirements
  • Scalability and performance assessment
05

GDPR Compliance & Data Protection Integration

Ensuring GDPR compliance of all identified use cases with integrated data protection and compliance assessment.

  • GDPR compliance assessment for each use case
  • Privacy-by-Design integration
  • Data Protection Impact Assessment (DPIA)
  • Development of compliance frameworks
06

Strategic Prioritization & Roadmap Development

Development of a strategic implementation roadmap with prioritized use cases and clear milestones.

  • Multi-criteria assessment and prioritization
  • Development of a strategic AI roadmap
  • Definition of milestones and success metrics
  • Change management and stakeholder alignment

5 phases

Our Approach

Together with you, we develop a systematic approach to identifying and evaluating AI use cases that takes into account business value, technical feasibility, and regulatory compliance.

  1. Comprehensive analysis of your business processes and strategic objectives

  2. Systematic identification and categorization of AI potentials

  3. Detailed feasibility assessment and ROI analysis

  4. GDPR-compliant use case design and compliance review

  5. Strategic prioritization and development of an implementation roadmap

Asan Stefanski

Your contact

Asan Stefanski

Head of Digital Transformation

11+ years of experience, Applied Computer Science degree, Strategic planning and management of AI projects, Cyber Security, Secure Software Development, AI

+49 69 913 113-01 info@advisori.de LinkedIn
The strategic identification of the right AI use cases is the cornerstone of successful AI transformation. Our systematic approach combines business strategy with technical feasibility and regulatory compliance to enable our clients to derive maximum value from their AI investments. In doing so, we ensure that every use case is designed to be GDPR-compliant from the outset and aligned with sustainable business success.
ADVISORI expert opinion

Our Strengths

  • 01Proven methodology for strategic AI potential analysis
  • 02Combination of business strategy and technical expertise
  • 03GDPR-first approach in use case development
  • 04Proven ROI assessment models for AI projects

Expert Tip

Successful AI projects do not begin with the technology, but with the strategic identification of the right use cases. A systematic use case analysis reduces implementation risks and maximizes the business value of your AI investments.

Further reading

5 QUESTIONS, BRIEFLY ANSWERED

Frequently asked questions about AI Use Case Identification

What role do stakeholders and change management play in the identification and implementation of AI use cases?

Successful AI use case identification is not only a technical but above all an organizational challenge. ADVISORI integrates stakeholder management and change management from the outset into the use case identification process, to build acceptance and minimize implementation barriers.

👥 Stakeholder Integration in Use Case Identification:

• Cross-Functional Teams: Involvement of representatives from all relevant business units, IT, compliance, and management in the identification process.
• Needs Analysis: Systematic capture of requirements, expectations, and concerns of various stakeholder groups.
• Communication Strategy: Development of target-group-specific communication approaches to explain AI potentials and implementation plans.
• Feedback Integration: Establishing mechanisms for continuous incorporation of stakeholder feedback into use case development.

🔄 Change Management for AI Transformation:

• Organizational Readiness: Assessment of organizational readiness for AI adoption and identification of change management requirements.
• Competency Development: Analysis of required skills and development of training and continuing education programs for affected employees.
• Cultural Change: Support in developing a data-driven and innovation-open corporate culture.
• Resistance Management: Proactive identification and addressing of resistance to AI implementation through transparent communication and involvement.

What role does the integration of existing IT systems play in the identification and assessment of AI use cases?

The integration of existing IT systems is a critical success factor in AI use case identification, as it determines the practical feasibility and economic viability of AI projects. ADVISORI conducts comprehensive IT landscape analyses to identify use cases that can be optimally integrated into the existing system architecture.

🔗 IT Integration Assessment:

• Legacy System Analysis: Assessment of the integration capability of existing legacy systems with modern AI technologies and identification of necessary modernization measures.
• API Availability: Analysis of existing interfaces and APIs, as well as assessment of the need for new integration layers for AI applications.
• Data Flow Mapping: Mapping of existing data flows and identification of optimal integration points for AI systems into the existing data architecture.
• Performance Impact: Assessment of the impact of AI integrations on the performance of existing systems and development of optimization strategies.

🏗 ️ Architecture Optimization for AI Integration:

• Microservices Architecture: Assessment of the suitability of existing architectures for AI integration and recommendations for architectural adjustments.
• Cloud-Hybrid Strategies: Development of strategies for optimal distribution of AI workloads between on-premise systems and cloud infrastructures.
• Security Integration: Ensuring that AI integrations respect and extend existing security architectures without creating new vulnerabilities.
• Scalability Planning: Development of integration approaches that scale with the growth of AI applications and enable future expansions.

What significance do external partnerships and vendor management have in the implementation of identified AI use cases?

External partnerships and strategic vendor management are often decisive for the successful implementation of complex AI use cases, as they provide access to specialized technologies, expertise, and resources. ADVISORI supports the strategic selection and management of AI partners and vendors.

🤝 Strategic Partner Identification:

• Competency Mapping: Systematic identification of external partners with complementary capabilities and technologies for specific use cases.
• Technology Vendor Assessment: Comprehensive evaluation of AI technology providers with regard to technical suitability, scalability, and strategic fit.
• Ecosystem Integration: Analysis of the integration capability of potential partners into existing technology and business ecosystems.
• Risk-Benefit Analysis: Assessment of the risks and benefits of various partnership models for identified use cases.

📋 Vendor Management for AI Projects:

• SLA Definition: Development of specific service level agreements for AI services that take into account performance, availability, and compliance requirements.
• IP Protection: Ensuring adequate intellectual property protection measures when collaborating with external AI providers.
• Vendor Lock-In Avoidance: Development of strategies to avoid excessive dependencies on individual technology providers.
• Continuous Performance Monitoring: Establishing monitoring and review processes for continuous assessment of partner and vendor performance.

What significance does cultural transformation have for the successful identification and implementation of AI use cases?

Cultural transformation is often the decisive yet underestimated factor for the success of AI initiatives. ADVISORI systematically integrates change management and cultural development into use case identification to foster a data-driven and innovation-open corporate culture that sustainably supports AI adoption.

🧠 Cultural Readiness Assessment:

• Innovation Readiness: Analysis of organizational openness to new technologies and changes, as well as identification of cultural barriers to AI adoption.
• Data Culture Assessment: Assessment of the existing data culture and understanding of data-driven decision-making within the organization.
• Risk Appetite: Analysis of the corporate culture with regard to willingness to experiment and tolerance for iterative learning processes in AI projects.
• Collaboration Culture: Assessment of the ability for cross-functional collaboration, which is essential for successful AI projects.

🔄 Cultural Change Strategies for AI Success:

• Leadership Engagement: Development of strategies to ensure strong leadership support for AI initiatives and cultural change.
• Communication Frameworks: Building transparent communication structures that reduce concerns and create understanding of AI potentials.
• Success Story Sharing: Systematic communication of AI successes and lessons learned to strengthen confidence in AI technologies.
• Incentive Alignment: Adjustment of incentive systems and performance metrics to support data-driven decision-making and AI adoption.

What role do regulatory developments and compliance requirements play in strategic AI use case planning?

Regulatory developments are increasingly shaping the AI landscape and must be proactively integrated into use case planning. ADVISORI pursues a forward-looking compliance approach that not only meets current requirements but also anticipates future regulatory developments and positions organizations for an evolving legal landscape.

⚖ ️ Proactive Regulatory Intelligence:

• Regulatory Monitoring: Continuous monitoring of regulatory developments at EU, national, and industry-specific levels, including the EU AI Act, GDPR updates, and sectoral regulations.
• Impact Assessment: Systematic assessment of the impact of new regulations on existing and planned AI use cases.
• Compliance Roadmapping: Development of compliance roadmaps that synchronize regulatory milestones with use case development.
• Stakeholder Engagement: Building relationships with regulatory authorities and industry associations for early insights into regulatory trends.

🛡 ️ Compliance-by-Design for AI Use Cases:

• Regulatory-First Approach: Integration of regulatory requirements as the foundation for use case design, not as a subsequent adjustment.
• Documentation Standards: Development of comprehensive documentation standards that meet regulatory transparency and evidence obligations.
• Audit Readiness: Building systems and processes that ensure continuous compliance monitoring and audit readiness.
• Risk Mitigation: Development of strategies to minimize regulatory risks through proactive compliance measures and risk management.