WTG AI Launchpad Service Offering

WTG’s AI Launchpad is a comprehensive service offering designed to accelerate the deployment of enterprise-grade AI infrastructure. We deliver a secure AI stack, including expert selection, configuration, and installation of a large language model optimized for your specific use case and environment.

The AI Launchpad Service Includes:

  • Collaborating with your team to select the proper model for your environment and use case

  • Deployment of a fully secure local LLM on premises

  • Configuration of a graphical management interface that allows you to select, install, and remove additional LLMs

  • Demonstration of on-premises “ChatGPT-like” functionality including chat history, user authentication, and more

  • A REST API endpoint for custom AI development or scripting

  • Knowledge transfer on use of the system

AI launchpad

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AI Launchpad Service Offering

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WTG Custom AI Workshop

Interested in a custom AI Workshop where participants will explore the latest trends and applications of artificial intelligence through hands-on activities and expert insights?

This workshop will cover:

  • Where are we in the AI hype cycle?

  • What are the top concerns with leveraging AI?

  • What are examples of responsible use of AI?

  • What are use cases of AI in your organization?

  • What is a potential roadmap for adopting AI?

  • What are the next steps?

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For more information on scheduling an AI Workshop, please fill out the form and we will reach out.

LLM’s

Artificial Intelligence (AI) has quickly risen to the forefront of the technology industry, not only as a subject of innovation but as a transformative force that businesses across every sector are actively exploring to drive efficiency, uncover insights, and gain a competitive advantage. A key subset of AI, Large Language Models (LLMs), are trained on massive datasets of text and code. They can understand, summarize, and generate natural language, enabling applications in knowledge management, customer support, content creation, and more. (LLMs) are being adopted by a growing number of businesses, as organizations look to leverage their ability to process vast amounts of text, automate knowledge work, and provide faster, more accurate insights that improve decision-making and customer engagement

Challenges and Risks

Organizations are leveraging AI to address challenges such as:

  • Extracting insights from large, unstructured data sources
  • Accelerating decision-making through data-driven recommendations
  • Automating repetitive and high-volume processes
  • Enhancing customer experiences with intelligent interfaces
  • Reducing inefficiencies and human error

Adopting AI responsibly requires awareness of potential risks, including:

  • Data privacy and security concerns
  • Model bias and fairness issues
  • Intellectual property considerations
  • Inaccurate or misleading outputs
  • Regulatory and compliance obligations

Strong governance, transparency, and ongoing monitoring are essential to mitigate these risks.

AI Risks
Navigating AI

Navigating AI and Use Cases

AI is already enabling value in multiple sectors:

  • Finance – Fraud detection, risk modeling
  • Manufacturing – Supply chain optimization, predictive maintenance
  • Healthcare – Diagnostics, patient engagement
  • Retail – Personalized recommendations, inventory management
  • Legal & Compliance – Document review, regulatory monitoring

The most effective AI strategies combine advanced tools with clear business objectives and well-defined guardrails.
With our guidance, organizations can:

  • Identify where AI will deliver measurable value
  • Implement techniques like RAG and prompt engineering
  • Build robust data pipelines and governance frameworks
  • Ensure solutions are safe, reliable, and ethical

The goal is not adopting AI for its own sake but integrating it where it solves real problems and creates sustainable advantages.