Online event
Tool‑agnostic AI automation: Streamlining your existing workflows
Thursday 24 September at 11:00AM
Already joined Business Academy? Sign in
The session will introduce a tool-agnostic approach to automation: start with the business process, define the desired outcome, map the data and decisions involved, and only then select the most suitable tools.
What you’ll learn
- Identify suitable business processes for AI automation by recognising repetitive, time-consuming tasks and assessing their potential for improvement.
- Apply a practical framework to map workflows, data and decision points before selecting the most appropriate AI tools for a specific business need.
- Evaluate automation opportunities, risks and expected benefits, and create a plan for a small-scale pilot that can demonstrate measurable value before wider implementation.
Description
AI automation does not need to begin with a large technology purchase or a complete redesign of your systems. In this practical webinar, Dr Stylianos Kampakis will show growing businesses how to identify repetitive, time-consuming workflows and improve them using AI, without becoming dependent on one vendor or platform.
The session will introduce a tool-agnostic approach to automation: start with the business process, define the desired outcome, map the data and decisions involved, and only then select the most suitable tools. Participants will explore examples across administration, customer service, sales, marketing and reporting, while learning where human review, security and governance should remain in place.
The webinar will also explain how to distinguish a useful automation opportunity from an expensive distraction. Attendees will leave with a simple framework for selecting a first workflow, assessing feasibility and risk, and planning a small pilot that can demonstrate measurable value before wider investment.
Speakers
Dr Stylianos Kampakis
CEO & Chief Data Scientist, Tesseract Academy
Stylianos (Stelios) Kampakis, PhD, has spent 12+ years helping SMEs and multinationals unlock value with data science and AI. He is the author of “The Decision Maker’s Handbook to Data Science,” a mentor at University College London, and a frequent keynote speaker at industry events worldwide.