
In the dynamic realm of information management, Artificial Intelligence (AI) platforms have emerged as a groundbreaking force in technology, simultaneously providing a wave of innovation and a sense of apprehension. At EncompaaS, AI is interwoven with our DNA, serving as a cornerstone of our AI-driven platform, delivering substantial benefits for our customers.
We’re excited to share that EncompaaS is at the forefront of enterprise AI adoption, transforming how organisations discover, understand, and manage their data. Our AI-powered information management platform integrates cutting-edge machine learning models and enterprise AI tools to enhance data discovery, classification, and governance. EncompaaS stands as one of the pioneering information management solution providers to fully leverage OpenAI’s full capabilities.
This perspective was highlighted at an industry conference that I attended recently, which emphasized the necessity of combining Azure OpenAI with other enterprise AI tools to provide a well-rounded solution. Such an approach allows organizations to comprehensively discover, govern, and utilize data at their disposal, marrying innovation with reliability and security.
Our experience has likened Azure OpenAI to a highly intelligent young prodigy—full of potential but requiring guidance to navigate complex landscapes.

Unlock the Full Potential of AI
Stepping into the future of data management, you will find Azure OpenAI at the core of search and auto-classification capabilities. Yet, at EncompaaS, we go a step further by augmenting its capabilities with a suite of AI-powered business solutions to holistically manage data across cloud and on-premises repositories.
While OpenAI alone represents a cost-effective solution, it is vital to recognize that a reduction in cost may correspond to a narrower scope of results and capability.
For example, in-depth analysis of data entrenched in complex documents, such as contracts, variations, and master agreements, requires additional AI capabilities that can:
- Discover and extract hidden insights and micro-details within unstructured data and complex documents
- Identify commercial risks and opportunity in real-time
- Ensure regulatory compliance with enterprise AI governance
The Future of Enterprise AI
At EncompaaS, our focal point remains generating unparalleled data quality—the cornerstone in today’s information management world.
After all, a successful AI outcome is intrinsically linked to the quality of data fed into the analytics engine, negating the common misconception that artificial intelligence for enterprise applications can function effectively without robust data governance. The EncompaaS platform not only facilitates superior data management but also enables organizations to generate robust business outcomes.
In response to the rapid developments in AI technology, our team has devoted significant resources to ensuring flexibility and adaptability within our platform. This foresight guarantees that EncompaaS customers will consistently have access to the latest advancements in proven Machine Learning platforms, enterprise AI Copilot solutions and Large Language Models, synergized with other components of our platform to deliver fast, reliable results.
The Path Forward
OpenAI is part of a promising journey towards AI-driven enterprise transformation, unlocking the potential of Large Language Models, Supervised Machine Learning, and other AI technologies to expedite the discovery, analysis, governance, and utilization of enterprise information.
EncompaaS advocates for the rapid adoption of enterprise AI applications, such as Azure OpenAI, to streamline workflows, enhance AI governance and democratize the AI experience. We firmly believe that AI business platforms hold immense potential to enhance human-technology collaboration, redirecting managerial focus towards driving superior business outcomes.

David Gould
Chief Customer Officer
To explore how Azure OpenAI, integrated seamlessly with EncompaaS, can elevate your organization's data on-premises and in multi-cloud environments, please contact me [email protected] for more information.
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