This webinar explores GenSpark AI, a powerful multi-model platform designed to move beyond traditional chat interfaces and into enterprise-ready workflow automation. Join Emma Farquharson, Ph.D., as she demonstrates how business professionals can streamline operations, reduce mental load, and drive faster outcomes by embedding AI into real business processes—without technical complexity.

Key Topics Covered

Laying the Groundwork: GenSpark’s Core Capabilities
The session opens with a breakdown of how GenSpark integrates multiple AI models into a single workspace—enabling one-shot prompting, structured task flows, and repeatable outcomes. This foundation allows users to replace iterative trial-and-error with focused, outcome-driven workflows.

Building Smarter Systems: Agents, Automation, and Multi-Model Design
Emma walks through how GenSpark allows users to create specialized agents for different business needs—whether it’s proposal generation, onboarding support, or internal research assistants. Participants will learn how to design custom workflows that combine search, writing, logic, and visuals, all within a single prompt or workspace.

Real-World Applications Across Departments
The webinar features demos that showcase GenSpark in action across key business functions—automating proposal development, summarizing stakeholder research, generating presentation slides, and even assisting with multilingual communications. Each example reveals how to shift from manual steps to strategic oversight.

Managing Resources with Clarity and Control
Emma highlights how GenSpark’s credit-based usage system supports predictability and cost control, making it easier to scale without surprises. She explains how to track usage, reduce duplication, and batch processes for maximum return.

Value for SMB Professionals

Reduced Platform Switching: Replace scattered tools with one AI workspace that centralizes research, drafting, and communication.

More Strategic Time: Offload administrative or repetitive work so teams can focus on high-impact projects.

Flexible, Scalable AI Access: Use credits to manage costs and track ROI across use cases and departments.

Faster Turnaround: Complete tasks like presentations, onboarding docs, or client briefs in minutes instead of days.

Important Considerations

Data Responsibility: Always check outputs for accuracy, especially in regulated or customer-facing materials.

Human Oversight Still Matters: AI agents improve speed—but final decisions and messaging should stay human-led.

Agent Setup Requires Intentionality: Each workflow benefits from upfront design thinking—Emma provides a step-by-step template to start.