CLAIR Your Inbox Today
Synopsis
CLAIR (Communicating and Learning AI Responder) is an enterprise AI automation system designed to streamline student inquiry handling and workflow execution in higher education. It delivers real-time, personalised responses, dynamically adapts through continuous learning, and automates complex processes from data retrieval to approval and calculation, ensuring efficiency, compliance, and scalable operation.
Opportunity
The AI automation system, CLAIR, presents significant opportunities across various sectors, particularly in higher education administration, customer service automation, and enterprise workflow optimisation. In higher education, it can revolutionise student inquiry handling by automating responses, managing complex workflows like approvals and billing calculations, and ensuring compliance. Specific applications include streamlining admissions inquiries (intake schedules, deferral policies), providing details for exchange programs (eligibility checks, course mapping), and handling scholarship queries (funding, disbursement, repayment calculations upon withdrawal).
Beyond academia, the system's adaptability extends to enquiry service in finance, healthcare, and retail, where it can automate personalised responses and execute complex operational workflows, leading to reduced response times and enhanced regulatory compliance. For general enterprise workflow optimisation, businesses can leverage the system to automate routine tasks, improve internal efficiency, and ensure data transparency through detailed logging and adaptive learning, fostering continuous improvement. The system's flexible deployment options, including local LLM model support, further broaden its appeal to data-sensitive institutions.
Technology
The CLAIR system offers several key technological benefits.
- Dynamic Adaptive Learning - CLAIR continuously refines its knowledge base by comparing AI-generated drafts with human-approved responses, ensuring progressively more accurate and context-rich replies. This continuous learning mechanism is crucial for long-term effectiveness.
- Automated Data Retrieval with Complex Workflow Automation - The system goes beyond simple data fetching, initiating and executing multi-step processes like approval workflows and billing calculations in real-time, ensuring responses are not only personalised but also fully compliant with institutional policies.
- Real-Time Personalisation - Achieved by integrating data from various sources (student records, historical inquiries, workflow outcomes), tailoring each reply to the specific context and needs of the student.
- Automated Logging, Data, and Insights - Creating a comprehensive audit trail for transparency and process optimisation.
- Integration of Domain Knowledge – The system leverages predefined domain knowledge including inquiry categories, descriptions and classifications for university administrations. This knowledge base is easily replicable across other universities, ensuring that the solution is tailored for the higher education domain while enabling efficient, standardised setup.
- Scalability and Flexibility – Connecting RPA tools to existing email service accounts jump-starts data preparation. CLAIR is also compatible with various LLM models, including local deployment for enhanced data security.

Figure 1: Overview of CLAIRE
Applications & Advantages
- Higher Education Administration: Streamlines student communications, reduces manual workload, and automates complex workflows (e.g., approvals, billing calculations).
- Enquiry Service Automation: Automates personalised responses and executes complex operational workflows in various industries.
- Enterprise Workflow Optimisation: Improves internal efficiency and data transparency through automation, logging, and adaptive learning.
- Enhanced Data Security: Supports local LLM model deployment for data-sensitive institutions.
- Multi-Model Compatibility: Seamlessly integrates with various LLMs (GPT-4, Azure OpenAI, Claude, open-source).


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