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From Strategy to Execution
Consulting, Design, Delivery, and Data Mastery

Consulting

#1 Assessment of enterprise readiness for AI adoption in compliance with legal requirements

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  1. Review and assessment of current AI tool usage

    • We analyze how AI tools are currently used in your business and provide actionable insights.

  2. Identification and evaluation of AI-related risks

    • We assess potential AI-related risks and their impact on your business.

  3. Support in developing risk mitigation plans

    • We help you design and implement strategies to minimize AI adoption risks.

  4. Assessment and support in preparing internal AI governance documents

    • We assist in creating AI-related policies and procedures to align with legal and ethical standards.

    1. Policies – We help establish AI governance policies that ensure responsible and compliant AI usage.

    2. Procedures/Instructions – We define clear operational guidelines for AI tool deployment and management.

 

#2 Development of business concepts for AI-driven solutions

We create tailored AI adoption strategies to enhance business efficiency and innovation.

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#3 Project management

We provide end-to-end project management for AI implementations, ensuring efficiency, scalability, and success.

AI Solution Design

#1 Preparation of a High-Level Analysis of AI adoption

We evaluate AI use cases, process improvements, risk assessment, and technical requirements to guide AI adoption.

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  1. Use cases – We identify practical applications of AI tailored to your business needs.

  2. Process modifications required after AI implementation – We outline necessary operational changes to maximize AI benefits.

  3. Risk assessment – We analyze potential challenges and define mitigation strategies.

  4. Technical and IT security requirements – We establish AI system security and performance standards.
     

#2 Preparation of a High-Level Design

We design AI solutions that seamlessly integrate into your existing IT infrastructure while defining necessary components and skills.

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  1. Solution architecture aligned with current IT landscape – We ensure AI adoption fits within your existing IT ecosystem.

  2. Identification of required technological components – We define essential technologies to support AI functionalities.

  3. Definition of datasets for AI model training – We specify the data needed to develop and optimize AI solutions.

  4. Required competencies and skills for AI administration and business use – We outline necessary expertise for AI tool management and utilization.
     

#3 Development of AI tool MVPs to assess effectiveness

We create and test AI prototypes to validate their business value before full-scale deployment.

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#4 Integration of target solution providers

We facilitate seamless collaboration with AI vendors to ensure smooth implementation of AI tools

Generative AI Tools and AI Agents delivery

#1 Tailored AI Model Selection and Deployment
We analyze business needs and technical requirements to recommend and deploy AI models that best fit the organization’s strategy, ensuring efficiency, scalability, and compliance.
 

  1. Selecting and implementing the right AI models—whether public, private, or hybrid—based on the organization's specific needs, security requirements, and industry standards.

  2. Customizing and fine-tuning large language models (LLMs) to align with business objectives and internal processes.​

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#2 Training AI Models on Internal Data
We support organizations in preparing internal data for AI training, fine-tuning models to maximize relevance, and ensuring AI solutions reflect company-specific knowledge and context.
 

  1. Leveraging proprietary datasets to train and optimize AI models for enhanced accuracy, relevance, and compliance.

  2. Ensuring AI tools understand and generate content aligned with organizational knowledge, reducing reliance on generic, pre-trained models.

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#3 Support in Integrating AI with Internal Systems
We facilitate the seamless integration of AI tools into internal IT ecosystems, ensuring they work harmoniously with existing systems while enhancing business processes and decision-making capabilities.
 

  1. Assisting in embedding AI tools within existing internal systems, including ERP, CRM, BI, and knowledge management platforms.

  2. Ensuring seamless interoperability between AI models and enterprise infrastructure to enhance automation and decision-making.

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#4 AI Governance, Security, and Compliance
We help organizations establish AI governance frameworks, ensuring secure, ethical, and compliant AI usage while minimizing operational risks.
 

  1. Establishing robust governance frameworks to monitor AI performance, mitigate risks, and ensure compliance with data privacy regulations.

  2. Implementing security measures to safeguard sensitive data used in AI model training and deployment.

Data Management

#1 Analysis of current BI solutions usage

We assess your existing Business Intelligence tools to identify optimization opportunities.

 

#2 Analysis of organizational structures, processes, and information delivery methods

We evaluate data flow, governance, and reporting structures to enhance efficiency.

 

#3 Definition and design of data and information management processes and structures

We create scalable frameworks for effective data handling and decision-making.

 

#4 Definition of Data Governance and Master Data Management principles

We establish clear data ownership, security, and quality standards to ensure reliable data management.

 

#5 Design of executive dashboards

We develop intuitive, data-driven dashboards to support strategic decision-making.

We Integrate With Your Business Ecosystem

We don’t offer one-size-fits-all solutions—data-driven initiatives must be tailored to each organization’s unique needs, culture, and capabilities, ensuring a customized and impactful approach

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