COURSE :

BUILDING YOUR FIRST AI EMPLOYEE

Overview

Building Your First AI Employee is a practical, company-dedicated programme designed to help participants move
beyond general AI chatbot usage and build a working AI employee for one real business workflow.
Participants identify a suitable operational need, define the AI employee’s responsibilities, business knowledge,
operating boundaries and human handover requirements, then map, build and test the workflow using the StaffAble AI
platform.
Potential applications include routine customer enquiries, lead collection, approved internal information support and
repeatable administrative processes. The intended outcome is a trained internal team and a working AI employee
configured around the organisation’s actual business requirements.

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COURSE OBJECTIVE

• Explain the role of an AI employee and distinguish it from an unrestricted general-purpose chatbot.
• Identify a suitable first AI employee use case within the organisation.
• Document business requirements, approved information, responsibilities and ownership.
• Map a business workflow covering triggers, actions, outputs, exceptions and human handovers.
• Build and configure a working AI employee using the StaffAble AI platform.
• Test and refine the AI employee against realistic business scenarios.
• Manage human escalation, knowledge updates and routine maintenance.

LEARNING OUTCOMES

Upon completion, participants would be able to:

Upon completion, participants should be able to identify, design, build, test and operate their organisation’s first AI employee for a defined business workflow, with appropriate business knowledge, operating boundaries, human escalation and internal ownership.

COURSE OUTLINE

Module 1: Meet Your First AI Employee
• What is an AI employee?
• AI employee versus general-purpose chatbot
• AI employees as defined business roles
• Responsibilities and operating boundaries
• Suitable tasks versus tasks requiring human judgement
• Introduction to the StaffAble AI platform
• Human ownership and oversight

Module 2: Identify the Right AI Employee Use Case
• Understand the business problem
• Identify intended users
• Define the expected business outcome
• Select a manageable first workflow
• Identify repetitive activities
• Determine required inputs and outputs
• Identify the workflow owner
• Establish practical success criteria
• Define where human involvement is required

Module 3: Capture Your Business Requirements & Knowledge
• Identify information required by the AI employee
• Gather approved FAQs, service and product information
• Policies, procedures and business rules
• Response examples and approved information sources
• Define what the AI employee may answer or collect
• Identify information that must be escalated
• Establish business ownership

Module 4: Map the Core AI Employee Workflow
• Map the process from incoming request to completed outcome
• Identify workflow triggers
• Define actions and outputs
• Identify required information and decision points
• Identify exceptions
• Establish human handover conditions and escalation paths
• Assign responsible staff ownership

Module 5: Design Your First AI Employee
• AI employee role and business purpose
• Responsibilities and approved knowledge
• Instructions and permitted activities
• Restricted activities and expected outputs
• Escalation rules
• Human owner
• Acceptance criteria

Module 6: Build Your Company’s First AI Employee
• Create the AI employee in StaffAble AI
• Configure its business role and role instructions
• Add approved business knowledge
• Set responsibilities and boundaries
• Configure expected responses and outputs
• Establish escalation instructions
• Connect the agreed operating channel or business data source where relevant

Module 7: Train the AI Employee with Business Knowledge
• Structure business information for effective use
• Improve instructions and response guidelines
• Set business tone and communication requirements
• Handle incomplete information
• Manage questions outside the approved scope
• Prevent unsupported responses
• Refine the AI employee through testing

Module 8: Test & Refine Your AI Employee
• Test normal business requests
• Test incomplete information and unexpected questions
• Test questions outside scope
• Test incorrect or ambiguous information
• Test human escalation scenarios
• Check business tone and factual accuracy
• Validate workflow completion

Module 9: Human Handover, Governance & Daily Operation
• When the AI employee should escalate
• Human intervention requirements
• Assign an operational owner
• Review AI interactions
• Manage business-information changes
• Update products, services, policies and processes
• Maintain approved knowledge
• Routine operational checks
• Maintenance and support escalation

Module 10: Final AI Employee Challenge – Launch & Handover
• Confirm business requirements and workflow configuration
• Review approved knowledge and operating boundaries
• Confirm test results and escalation rules
• Confirm human ownership and maintenance responsibilities
• Assess readiness for the agreed operating environment