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Generative AI (Artificial Intelligence) is being used across industries to revolutionize business. Companies without dedicated AI teams are struggling to navigate responsibly the rapidly evolving landscape. A successful GenAI implementation is more than plugging data into a model and extracting value, it relies on a relevant business use case, strong data, and a solid governance framework. Trexin’s commitment to “Safe and Responsible AI” is not merely a slogan, but a comprehensive approach to embedding ethical practices into the fabric of our Clients’ operations.

While AI is an exciting and helpful tool, we also want to protect our Clients from ‘force fitting’ Generative AI. We have seen cases where Generative AI was used to solve Use Cases that could have been easily addressed with solid Machine Learning approaches or Business Intelligence Reporting.

As AI constantly evolves, the options for models and tools continue to grow. As of March 2024, we are tracking over 1000 Generative AI companies and Large Language Models (LLMs) that are specialized in a domain or topic. For instance – writing technical documentation by analyzing your code and even creating flow diagrams; or AI Models specialized to prevent, manage, and resolve IT incidents with intelligent automation. New techniques such as retrieval augmented generation (RAG) that merge the static nature of the LLM with real time (Client) data are gaining popularity and place much more emphasis on data security. It takes careful analysis to find what is right for your organization.

Gen AI

We also use our expertise in cybersecurity to deliver on our commitment to safe AI implementation:

  • Data Protection: Ensuring that data used to train and operate AI systems is secure and protected from unauthorized access.
  • Access Control: Implementing strict access controls to limit who can access and interact with AI systems.
  • Monitoring and Auditing: Regularly monitoring and auditing AI systems to detect and respond to any security breaches or vulnerabilities.
  • Transparency: Being transparent about how AI systems operate and how data is used, to build trust and confidence among stakeholders.
  • Regulatory Compliance: Ensuring that AI systems comply with relevant regulations and standards, such as GDPR and other data protection laws.

Our strategy advocates starting with manageable use cases and uncovering the practical aspects of AI integration. This step-by-step approach demystifies AI, allowing businesses to grasp the implications of deployment fully and ensuring a robust foundation for scaling up. Creating a use case starts with forming a cross-functional team of stakeholders to identify business needs. Each use case is tailor-made to the specific needs of the Client. Potential use cases will then be prioritized by maximum business value with minimum complexity and/or variability. As the company’s AI maturity increases, it can begin exploring the higher complexity use cases.

Generative AI

We go beyond mere technology implementation by helping our Clients develop strong internal governance frameworks. A governance framework is paramount in keeping the business, employees, Clients, and data safe, and is a critical component of a safe and responsible AI implementation. These frameworks ensure AI applications meet the highest ethical and integrity standards, reinforcing our Clients’ reputations. By keeping a finger on the pulse of global regulatory trends, we ensure compliance and readiness for future regulatory shifts, giving our Clients the confidence to move forward with AI adoption.

Governance Framework

Choosing to work with Trexin means opting for a full-service package that encompasses data management, ethical AI integration, compliance, and strategic scaling guidance. From the initial use case to widespread adoption, we provide support in navigating the governance landscape, ensuring a safe and effective AI transformation. This approach not only maximizes the benefits of AI but also ensures privacy, maintains public trust, and upholds a commitment to responsible innovation.

Gen AI

Help section

Help me build a Generative AI implementation roadmap

There are many steps to consider when beginning your AI implementation, and not every company’s roadmap will look the same. After completing a full analysis of your business needs, our Trexin Advisors will work with you to create a full roadmap that fits your strategic goals and ensures a safe and responsible implementation.

Areas of Expertise:

  • Generative AI
  • Data
  • Analytics
  • Automation
  • Strategy
  • Business Architecture
  • Data quality
  • Large Language Model (LLM)
  • Automated Machine Learning (AML)
  • Governance
  • Risk Assessment
  • Risk Mitigation

Help me develop a business use case for Generative AI

Trexin will work with your business stakeholders to identify your top business needs. Once identified, we will determine the scope of the project, conduct research into historical data, your competitors, and the market, and establish basic governance guidelines. This will be the groundwork for establishing a strong business use case for generative AI.

GenAI

Areas of Expertise:

  • Generative AI
  • Data
  • Analytics
  • Automation
  • Strategy
  • Business Architecture
  • Data quality
  • Large Language Model (LLM)
  • Automated Machine Learning (AML)
  • Governance

Help me create a governance framework for Generative AI implementation

A strong governance framework is the most important piece of a safe and responsible generative AI implementation. Trexin will work with your leaders to conduct a risk assessment, research current regulations, establish a structure for your implementation team, analyze ethical impacts of implementation, create relevant policies and procedures, and establish guidelines for monitoring the model throughout the project.

Areas of Expertise:

  • Generative AI
  • Governance
  • Risk Assessment
  • Risk Mitigation
  • Ethics
  • Policy
  • Governance Framework

Help me transform my data to maximize Generative AI model usage

Using Trexin’s expertise in data transformation, we will ensure your data is secure while being used to its fullest potential in the model.

Areas of Expertise:

  • Generative AI
  • Data
  • Data Quality Assurance
  • Data Transformation
  • Data Analysis
  • Roadmap
  • Future-State Architecture
  • Business Analytics
  • Data Management