What's included

• AI Agent Development

  A fully operational, custom AI Agent designed for a specific use case, tailored to your business needs. The Agent will integrate seamlessly with your existing systems and leverage your internal data and documents to provide highly relevant, context-aware responses. Built using a low-code platform (n8n, Langflow, Make.com) or a custom framework such as Python/Langchain.

• User interface development

  A user-friendly web or chat interface for interacting with the AI Agent, designed for intuitive use by employees or customers. The interface can be embedded into your website, internal portal, CRM, or other business applications as needed.

• Cloud hosting and deployment

  Hosting and deployment of the AI Agent on a secure cloud infrastructure (e.g., Google Cloud Platform, AWS, Azure) with scalable architecture to handle usage demands. Includes configuration of API endpoints, security settings, and access controls.

• Data integration and knowledge management

  Seamless integration with your internal databases, CRMs, document repositories, and other business systems to provide the AI Agent with real-time, accurate information. Optional implementation of Retrieval-Augmented Generation (RAG) or embeddings for better contextual awareness depending on your needs.

• End-to-end testing

  Comprehensive testing with internal and external users to verify the AI Agent’s accuracy, consistency, and performance. This ensures that the solution meets your specific business requirements and is reliable in real-world scenarios.

• Documentation

  Clear, structured documentation covering the AI Agent’s functionality, system integrations, user interactions, API connections, and best practices for maximising value. Delivered in your preferred format (e.g., Notion, Google Docs, Confluence) for easy access and reference.

• Training and support

  Hands-on training for your team to ensure smooth adoption and optimal use of the AI Agent. This includes live training sessions, troubleshooting guidance, and best practices for ongoing usage. Post-launch support can also be provided for updates, monitoring, and improvements.