One AI Please

Our offering is an advanced AI powered knowledge and onboarding solution designed to transform how organisations manage and disseminate critical internal information. This service addresses common challenges associated with rapid growth and diverse operational needs, such as inefficient employee onboarding, fragmented knowledge bases and the time-consuming search for specific policies or procedures.

At its core, the solution establishes an intelligent, centralised knowledge hub capable of learning from a wide array of internal documents, including HR policies, operational procedures, project specific details and customer related information. It leverages the robust capabilities of Microsoft Azure, utilising Azure AI Search for intelligent indexing and retrieval and Azure's hosted OpenAI for generating accurate and contextually relevant responses while ensuring data privacy.

Key features of the product offering include:

Intelligent Knowledge Retrieval: Employees gain a reliable, immediate source for answers to their queries, augmenting existing processes and fostering self-service.

Robust Document Ingestion Pipeline: We provide a sophisticated pipeline designed to handle vast volumes of documents, integrating seamlessly with existing content management systems like SharePoint and Confluence via dedicated connectors. Azure Service Bus queues are employed to manage document flow efficiently, decoupling content discovery from AI ingestion for optimal performance and scalability.

Secure Access and Data Privacy: The solution is secured using Azure Entra ID, ensuring that only authorised personnel can access the AI powered knowledge base, even when deployed on public cloud infrastructure.

Automated Infrastructure Management: The entire cloud infrastructure is managed and provisioned using Terraform, ensuring consistency, scalability, and rapid deployment.

Administrative User Interface: An intuitive UI allows administrators to monitor ingested documents, manage content sources, trigger re-ingestion and view anonymised query logs. This enables proactive identification of information gaps and continuous improvement of the knowledge base.

The impact for customers is significant:

Enhanced Employee Experience: New hires and existing personnel are onboarded more efficiently and integrated seamlessly into teams, leading to increased satisfaction and faster productivity.

Improved Operational Efficiency: Employees spend less time searching for answers, freeing them to focus on core tasks, leading to measurable gains in overall organisational productivity.

Reliable Source of Truth: The solution ensures consistent and accurate information dissemination across the organisation, reducing miscommunication and errors.

Digital Transformation: It augments existing processes, promoting a culture of technological adoption and positioning the organisation at the forefront of digital innovation.

Scalability: Designed to handle increasing volumes of data, the solution scales effortlessly from tens to thousands of documents, accommodating organisational growth.

How the process works Our AI solution rolls out in two agile phases: a rapid MVP, then a full production transition.

MVP Kickoff We deploy a production-ready MVP on Azure. This phase focuses on core AI knowledge validation, using a small, curated set of 10-15 documents. We fine tune the AI's tone and detail, proving its value quickly without getting bogged down by complex integrations. Key Azure services like AI Search and hosted OpenAI power this initial stage.

Scaling to Production After MVP success, we build a robust document ingestion pipeline to handle thousands of documents. This involves integrating SharePoint and Confluence connectors. We use Azure Service Bus queues to manage document flow efficiently, decoupling ingestion speeds. An admin UI lets users manage documents and monitor queries, while Azure Entra ID secures access and Terraform automates infrastructure.

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