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Helena Liu – Agentic AI Accelerator
Most businesses use AI as a simple assistant for generating content, answering questions, or brainstorming ideas.
While these use cases can save time, they barely scratch the surface of what modern AI systems can accomplish.
Agentic AI Accelerator focuses on the next evolution of artificial intelligence: building AI employees that can perform multi-step tasks,
make decisions within defined boundaries, interact with tools, and automate significant portions of business operations.
Instead of learning isolated prompts, participants explore how to create agentic systems that function as active contributors inside a company.
Key learning areas may include:
Agentic AI systems
AI employee development
Workflow automation
Business process optimization
AI operations
Productivity enhancement
Understanding The Rise Of AI Employees
Businesses are increasingly exploring ways to reduce repetitive manual work while improving operational efficiency.
The accelerator examines how AI employees differ from traditional automation tools by combining reasoning, memory, workflows,
and tool usage into unified systems capable of executing complex tasks.
Core concepts may include:
AI agents vs traditional automation
Autonomous workflows
AI decision-making systems
Multi-step task execution
Digital workforce design
Business automation frameworks

Designing AI Employees For Specific Business Functions
Different business departments have different operational needs.
Agentic AI Accelerator explores how specialized AI employees can be created to support marketing, customer service,
operations, sales, research, and administrative workflows.
Department-specific applications may include:
Marketing assistants
Sales support agents
Research automation
Customer success workflows
Operations management systems
Administrative automation
Integrating AI With Existing Business Tools
AI becomes significantly more powerful when connected to the software businesses already use every day.
The accelerator explores how agentic systems can interact with CRMs, spreadsheets, databases, communication platforms,
and project management tools to create end-to-end workflows.
Integration topics may include:
CRM automation
Database interactions
Spreadsheet workflows
Email management
Project tracking
Cross-platform automation




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