Transform Your Business with AI: Potential Success Stories

Achieve measurable results with strategic AI consultancy.

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Illustrative Case Studies

Example scenarios of how AI consultancy can create value in different sectors.

Developing a KVKK-Compliant Smart Fraud Detection Strategy

AI strategy expected to reduce fraud losses by up to 20 % for financial institutions and enhance KVKK compliance.

Finance Fraud Detection KVKK Compliance Strategy
2-3 months Read More

Strategic Consultancy for AI-Powered Early Diagnosis Projects in Healthcare

Aims for healthcare institutions to increase diagnostic accuracy by 5-10 % in AI early diagnosis projects and ensure KVKK-compliant data use.

Healthcare Early Diagnosis Medical Imaging KVKK Compliance
3-4 months Read More

AI-Powered Personalization and Sales Growth Strategy for SME E-commerce

Aims for e-commerce SMEs to increase conversion rates by up to 15 % by offering personalized customer experiences with AI.

E-commerce SME Personalization Marketing Automation
2-4 months Read More

AI-Powered Predictive Maintenance Strategy and Pilot Consultancy in Manufacturing

AI predictive maintenance strategy expected to reduce unplanned downtime by up to 20 % and lower maintenance costs in manufacturing facilities.

Manufacturing Predictive Maintenance Industry 4.0 Data Analytics
3-5 months Read More

AI-Powered Customer Churn Prevention Strategy Consultancy for Telecom

Aims for telecom operators to reduce customer churn rates by 10-15 % and increase customer lifetime value with AI.

Telecommunications Customer Experience Churn Analysis Data Analytics
3-4 months Read More

GenAI-Powered Internal Knowledge Search for Enhanced Productivity

Expected to reduce internal information retrieval time by up to 40 % and improve employee productivity for technology companies.

Technology Generative AI Knowledge Management Productivity
2-4 months Read More
2-3 months Featured

Developing a KVKK-Compliant Smart Fraud Detection Strategy

Finance Fraud Detection KVKK Compliance Strategy
Aims to create AI-based, KVKK-compliant strategies with advanced anomaly detection and behavioral analytics by analyzing existing fraud detection systems in financial institutions. Provides a roadmap for potential AI tools and models, contributes to internal team competency development, and conducts ROI analyses. Considering 78.9% of businesses in Turkey lack AI expertise, this consultancy fills a critical gap.
Challenge
Financial institutions struggle to combat increasing fraud threats while ensuring full compliance with legal regulations like KVKK and clarifying the ROI of AI investments.
Solution
Current state analysis, identification of AI opportunities, creation of a KVKK-compliant data governance framework, customized AI model strategies, and ROI projections.
Expected Results
  • Up to 20 % increase in fraud detection rates
  • Up to 15 % reduction in false positive rates
  • Reduction in KVKK compliance risks
  • Increased clarity on AI project ROI
Up to 20 % Fraud Detection Uplift
≈15 % False Positive Reduction
Increase ROI Clarity
Focus Areas Current system analysis, data governance, model selection, ROI
Core Technologies (Recommended) Machine Learning, Anomaly Detection, Behavioral Analytics
Deliverables Strategy report, roadmap, ROI analysis
3-4 months Featured

Strategic Consultancy for AI-Powered Early Diagnosis Projects in Healthcare

Healthcare Early Diagnosis Medical Imaging KVKK Compliance
Provides a strategic roadmap for healthcare institutions to implement AI-based early diagnosis solutions, especially in medical imaging. Offers guidance on data governance, KVKK compliance, ethical rules, model selection, and clinical integration. Includes pilot project planning and ROI analysis. Aims to increase AI literacy in the healthcare sector, where lack of expertise is a significant barrier.
Challenge
Healthcare institutions want to use AI's potential for early diagnosis but face challenges in data privacy, model accuracy, and integration with existing systems.
Solution
Analysis of existing infrastructure and data, development of a KVKK-compliant AI strategy, identification of potential use cases and AI models, pilot project design, and feasibility study.
Expected Results
  • Up to 5-10 % increase in diagnostic accuracy
  • Up to 5 % reduction in false positive rates
  • Reduction in data privacy (KVKK) risks
  • Increase in operational efficiency
Up to 10 % Diagnostic Accuracy Uplift
Targeted Efficiency Boost
Enhanced KVKK Compliance
Focus Areas Data governance, model selection, KVKK, ethics, integration
Potential Technologies Computer Vision, Deep Learning
Deliverables Strategy document, pilot project plan, ROI analysis
2-4 months Featured

AI-Powered Personalization and Sales Growth Strategy for SME E-commerce

E-commerce SME Personalization Marketing Automation
Develops AI strategies for SMEs to effectively use customer data on e-commerce platforms for personalized product recommendations, campaigns, and content. Offers consultancy on selecting and integrating cost-effective AI tools and marketing automation. Includes customer segmentation and ROI-focused campaign planning, addressing the AI expertise gap in SMEs.
Challenge
SMEs struggle to offer personalized customer experiences and invest in AI technologies due to resource and expertise constraints while competing with large e-commerce platforms.
Solution
Assessment of existing data sources, creation of an SME-specific AI personalization strategy, selection of suitable AI tools with an integration roadmap, basic marketing automation, and ROI projections.
Expected Results
  • Up to 15 % increase in conversion rates
  • Increase in customer loyalty
  • Up to 10 % improvement in marketing campaign effectiveness
  • Reduction in abandoned cart rates
Up to 15 % Conversion Uplift
Increase Customer Loyalty
Up to 10 % Campaign Effectiveness
Focus Areas Customer data analysis, personalization tools, campaign optimization
Potential Tools Cost-effective AI marketing platforms, CRM integrations
Deliverables Personalization strategy, tool selection report, implementation roadmap
3-5 months Featured

AI-Powered Predictive Maintenance Strategy and Pilot Consultancy in Manufacturing

Manufacturing Predictive Maintenance Industry 4.0 Data Analytics
Develops AI-based predictive maintenance strategies for critical equipment in manufacturing companies and provides a roadmap for a pilot implementation. Guides on sensor data collection, analysis, selection of appropriate AI models, and integration into existing maintenance processes. Includes basic AI awareness training for the team and ROI analysis, addressing the sector's expertise gap.
Challenge
Manufacturing companies experience unexpected production losses due to machine failures and struggle with the cost and inefficiency of traditional maintenance methods. AI implementation expertise is lacking.
Solution
Equipment and data analysis, development of an AI predictive maintenance strategy, model and sensor selection for a pilot project, integration plan, and ROI projection.
Expected Results
  • Up to 20 % reduction in unplanned downtime
  • 10-15 % reduction in maintenance costs
  • Increase in equipment lifespan
  • Increase in production efficiency
Up to 20 % Downtime Reduction
≈10-15 % Maintenance Cost Cut
Increase Efficiency
Focus Areas Sensor data, AI model selection, process integration, pilot implementation
Potential Technologies Machine Learning, Time Series Analysis, IoT Sensors
Deliverables Predictive maintenance strategy, pilot implementation plan, ROI analysis
3-4 months

AI-Powered Customer Churn Prevention Strategy Consultancy for Telecom

Telecommunications Customer Experience Churn Analysis Data Analytics
Develops strategies for telecom operators to use AI in analyzing customer data, enabling early detection of behaviors that indicate potential churn. This consultancy offers AI-based approaches for personalized retention campaigns, proactive customer service interventions, and enhanced loyalty programs. It includes guidance on establishing a robust data analytics infrastructure and refining model development processes to maximize churn prediction accuracy and retention effectiveness.
Challenge
Telecom operators face challenges in reducing customer churn and maintaining loyalty in a competitive market. Identifying at-risk customers and determining proactive measures is complex.
Solution
Customer data analysis and segmentation, strategy creation for AI-based churn prediction models, a roadmap for personalized retention actions, and ROI analysis.
Expected Results
  • Up to 10-15 % reduction in subscriber churn rate
  • Increase in customer lifetime value (CLTV)
  • Increased effectiveness of personalized retention campaigns
  • Improvement in customer satisfaction
Up to 15 % Churn Reduction
Targeted CLTV Increase
Increase Campaign Effectiveness
Focus Areas Customer data analysis, churn modeling, retention strategies
Potential Technologies Machine Learning, Behavioral Analytics, Big Data Platforms
Deliverables Churn prevention strategy, modeling roadmap, campaign recommendations
2-4 months

GenAI-Powered Internal Knowledge Search for Enhanced Productivity

Technology Generative AI Knowledge Management Productivity
This engagement focuses on developing and deploying a custom Generative AI-powered search solution for a technology company's internal knowledge bases (e.g., wikis, documentation, shared drives). The consultant will assess existing knowledge sources, select and fine-tune appropriate GenAI models, and build a user-friendly interface for employees to quickly find accurate information, thereby reducing wasted time and boosting overall productivity. This is particularly valuable for tech companies with rapidly evolving products and extensive internal documentation.
Challenge
Technology company employees spend significant time searching for information scattered across various internal platforms, leading to reduced productivity and frustration.
Solution
Develop a secure, custom GenAI search application that indexes internal knowledge sources and provides natural language query capabilities with accurate, context-aware answers.
Expected Results
  • Internal information retrieval time reduced by up to 40 %
  • Employee productivity improved by up to 15 %
  • Faster onboarding for new hires
  • Improved consistency in accessing up-to-date information
Up to 40 % Info Retrieval Time Cut
Up to 15 % Productivity Boost
2-4 Months Deployment Time
Knowledge Sources Confluence, SharePoint, Google Drive, Code Repositories (docs)
Core Technologies LLMs (e.g., Gemini), Vector Databases, LangChain/LlamaIndex
Deployment Cloud-based (e.g., GCP, AWS, Azure) or On-premise