What to Expect from a Corporate AI Workshop in South Africa

Booking an AI workshop for your team and then not knowing what happens on the day creates a specific kind of management anxiety. This walkthrough covers exactly what a DB23 workshop looks like — before, during, and after — so you can brief your team and set expectations with your MD.
What Happens at a Corporate AI Workshop?
A corporate AI workshop in South Africa typically runs between 90 minutes and a full day. The first hour covers how AI tools work — using practical examples relevant to your industry, not generic technology theory. The second hour is hands-on: every attendee practices writing prompts, generating outputs, and reviewing AI work critically on their own device with their actual work tasks. The final hour (in half-day and full-day formats) focuses on workflow mapping — each person identifies which of their daily tasks AI can assist with. DB23 workshops end with a 30-day adoption plan per participant, so skills learned on the day have a structured path to become daily habits. Teams typically leave with at least two or three AI use cases they can implement the next morning.
What Happens Before Your AI Workshop
- Intake call: DB23 talks to the organiser about team size, current AI knowledge level, and the two or three outcomes the business wants
- Pre-workshop survey (optional): a brief form sent to attendees to gauge current AI tool usage and job roles
- Custom slide deck: built around your industry, team size, and specific use cases — not a generic template
- Setup confirmation: Zoom or in-person logistics, laptop requirements (standard browser, no special software)
A Typical DB23 AI Workshop: Hour by Hour
How AI Actually Works (Without the Tech Lecture)
- "The AI is a very fast, very well-read assistant who has never worked in your industry. Your job is to brief it like you'd brief a new team member."
- Myth-busting: AI won't replace your team, AI isn't always right, AI output needs a human eye
- Open Q&A — what have you tried? What frustrated you? Unaddressed concerns kill adoption.
Core Tool Live Demo
- Live demonstration with the tool your team uses or will use (ChatGPT, Copilot, or Claude)
- Facilitator shows prompt writing in real time on screen: email drafting, meeting summary, proposal section
- Participants watch first, then mirror on their own devices
Hands-On Practice
- Each participant works through 3 exercises on their own device with their real work scenarios
- Exercise 1: Draft an email relevant to their role
- Exercise 2: Summarise a provided document
- Exercise 3: Generate a checklist for a weekly task
- Most common coaching moment: prompts that are too vague — participants learn specificity through practice, not theory
Workflow Mapping
- Each attendee lists their top 5 time-consuming weekly tasks
- Group exercise: which tasks could AI assist with?
- Each person leaves with a personal adoption plan: one new AI task to try each week for 4 weeks
What Your Team Leaves With
- Practical skills: working knowledge of at least one AI tool with supervised practice
- Prompt library: 10–15 templates specific to your industry and team's most common tasks
- Personal adoption plan: 4-week roadmap — one new AI task per week — so skills don't fade
- 30-day email support: Q&A with DB23 for a month after the session
How to Prepare Your Team for the Workshop
- No technical preparation required
- Each person brings a laptop or tablet — AI tools are browser-based
- Ask each person to think of one task they do every week that feels repetitive
- Confirm WiFi — cloud-based AI tools require a stable connection
- Complete the pre-session survey when DB23 sends it — it's used to customise the exercises