Role-Based Programme
RB1746
AI-Powered Front Office & Reception
Smarter Visitor Management, Communication & Workplace Coordination
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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training
Programme Objectives
- Apply AI across Front Office and Reception activities including visitor management, communication, scheduling, enquiries, documentation, and workplace coordination.
- Use AI-assisted techniques to improve visitor experience, response quality, professionalism, consistency, and operational efficiency.
- Develop structured workflows for handling enquiries, appointments, visitor requests, complaints, internal coordination, and administrative records.
- Analyse front-office information and service data to identify recurring issues, peak periods, and service-improvement opportunities.
- Apply responsible AI practices covering privacy, confidentiality, visitor information, workplace security, accuracy, and human oversight.
Tools covered
Generative AI AssistantsAI-Powered CommunicationDocument IntelligenceMeeting & Calendar SupportSpreadsheet AnalysisKnowledge AssistantsWorkflow AutomationVisitor-Service Support
Who should attend
- Front Office Executives
- Receptionists
- Front Desk Associates
- Reception Supervisors
- Front Office Managers
- Administration Executives
- Office Coordinators
- Guest Relations Executives
- Visitor Management Professionals
- Corporate Services Executives
- Workplace Experience Professionals
- Administrative Assistants
- Facility Helpdesk Executives
- Front Office Team Leaders
Prerequisites & Participant Readiness
- Working knowledge of front-office, reception, or administrative activities
- Familiarity with visitor handling, telephone communication, scheduling, and workplace coordination
- Basic computer and office-productivity skills
- Basic awareness of Generative AI is helpful
- No programming knowledge required
TOC Modules
Concepts
- Understanding Generative AI and its relevance to front-office operations
- Identifying AI applications across visitor handling, communication, scheduling, and administrative support
- Understanding AI assistance versus receptionist judgement and accountability
- Recognising repetitive and information-intensive activities suitable for AI support
Practical activities
- Mapping common Front Office activities to potential AI applications
- Comparing traditional and AI-assisted visitor-service workflows
- Identifying high-effort tasks that can be simplified using AI
Scenarios
Visitor Appointment to Successful Check-Out
Appointment Request → AI-Assisted Confirmation → Pre-Arrival Instructions → Check-In → Host Coordination → Visitor Support → Check-Out → Record Update
Participants build an end-to-end AI-assisted visitor workflow covering appointment confirmation, arrival preparation, reception interaction, internal coordination, visitor communication, and final documentation.
Difficult Visitor Situation to Professional Resolution
Visitor Complaint → Listen & Clarify → AI-Assisted Issue Summary → Response Preparation → Escalation → Resolution → Follow-Up → Incident Documentation
Participants handle a realistic visitor-service issue, use AI to organise facts and prepare communication, coordinate appropriate escalation, and produce a professional closure and incident record while retaining human control over all sensitive decisions.
Related programmes
Continue with programmes from the same capability area.
- ChatGPT for Human Resources: AI Skills for Smarter Everyday HR
- ChatGPT for Human Resources: Practical AI for Smarter HR Workflows
- ChatGPT for Human Resources: Research, Analyse & Build Smarter HR Workflows
- ChatGPT for Human Resources: Advanced AI Workflows, Automation & HR Intelligence
- ChatGPT for Sales & Business Development: Practical AI Skills for Modern Sales Teams
- ChatGPT for Sales & Business Development: Research, Engage & Build Smarter Sales Workflows
- ChatGPT for Sales & Business Development: Advanced AI Workflows, Account Intelligence & Sales Automation
- ChatGPT for Marketing: AI Skills for Modern Marketing Teams
Take the next step
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Instructor-ledVirtualHybrid
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