An Integrated AI Hub

Since the emergence of generative AI, businesses have been rushing to implement everything necessary to capitalize on this technological revolution. However, the path to successful implementation is far from straightforward.

Most companies quickly realized the need to secure generative AI capabilities for their teams. However, ChatGPT was not an option for EU enterprises due to GDPR compliance concerns, as the servers are still in the US. This left companies with two primary options:

  1. Building their own “CompanyGPT”: Using Azure Open AI APIs to create custom generative AI solutions.
  2. Adopting MS Copilot: Although, for many, this option hasn’t fully met expectations, especially if they were accustomed to the capabilities of ChatGPT.

While having a generic AI assistant is crucial, companies also understood that it requires significant training and adoption efforts to generate real value. The impact on your P&L depends heavily on how effectively users can prompt the AI, whether you’ve invested in Copilot licenses or development resources to build your own “CompanyGPT.”

Therefore, building tailored applications that address specific business challenges is the only way to drive substantial value and impact quickly.

This, however, has led to a kind of chaos:

  • A CompanyGPT that is used by some (or many) collaborators, depending on its maturity.
  • An MS Copilot assistant existing in parallel (if deployed)
  • Numerous small AI and generative AI apps scattered across the organization (99% of which are just PoCs).
  • Other purchased tools and generative AI solutions.
  • The constant need to evolve your CompanyGPT rapidly to keep up with ChatGPT's updates.

To our knowledge, this represents the current state of even the most advanced companies implementing generative AI.

Moreover, utilizing all these tools requires implementing privacy and business rules for each, as well as governance for app access and LLM token (or CPU) consumption. This complexity makes the problem even more challenging to manage.

GPTHub: A Unified AI Hub Solution by Cohorte

This is why we developed GPTHub and launched the GPT Hub offering. We combined the power of the most advanced open-source frameworks to create GPTHub:

  • It provides ChatGPT Enterprise-like features with complete privacy and GDPR compliance.
  • Integrates all AI tools into a single platform with unified governance.
  • Works seamlessly with all LLM models, company systems, and customized AI agents.
  • Includes governance, access controls, cost management tools, and more.
  • Supports the joint deployment of custom and generic AI solutions.
  • Benefits from the open-source community’s support in integrating the latest OpenAI features.
  • Acts as an aggregator for all GenAI, adoption, and empowerment initiatives.

Benefits of a Unified AI Hub

Implementing an AI Hub like GPTHub offers numerous benefits:

  1. Enhanced Governance and Compliance: With built-in GDPR compliance and advanced access controls, businesses can ensure that their AI operations adhere to the highest privacy standards, reducing legal risks and building trust.
  2. Centralized Management: By consolidating all AI tools and models into a single platform, companies can achieve greater efficiency in managing their AI ecosystem, minimizing the operational overhead associated with fragmented solutions.
  3. Cost Efficiency: The integration of cost management tools allows organizations to monitor and control AI-related expenses more effectively, optimizing resource allocation.
  4. EScalability: As a unified platform, GPTHub is designed to scale with the organization, accommodating the addition of new models, agents, and tools as the business grows.
  5. Future-Proofing: With the flexibility to integrate any LLM model and customized AI agents, GPTHub ensures that businesses are not locked into a single provider or technology, allowing them to adapt to future AI advancements.

Not Just the Tool, but Also the Transformation Required to Make It Successful

Our initial implementations of GPTHub revealed that success requires more than just a common AI platform. It also demands a comprehensive transformation strategy—focusing on adoption, value creation, and go-to-market strategies—to turn generative AI into a transformative process rather than just a collection of tools that remain underutilized.

Conclusion

For businesses striving to harness the full potential of generative AI, the current landscape presents challenges that cannot be ignored. Fragmented tools, compliance hurdles, and governance issues can significantly impede progress. However, with solutions like GPTHub, organizations can overcome these challenges, unifying their AI operations under a single, secure, and scalable platform. This approach not only enhances efficiency but also ensures that businesses remain compliant and competitive in an increasingly AI-driven world.

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Charafeddine Mouzouni
Partner at Cohorte

08/2025