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The Problem

Most teams do not have an AI access problem. They have an adoption and trust problem.

Random prompting

AI is used ad hoc with vague prompts, so results are inconsistent and the effort feels wasted.

Unverified outputs

Drafts and analyses are pasted forward without validation, exposing the team to errors and hallucinations.

Tools without workflow

Copilot, ChatGPT, Claude, and Gemini all get tried, but none is anchored into a repeatable work process.

Gains that don't scale

A few power users save hours, but their prompts and methods never become shared team practice.

One Blended Program — Three Integrated Components

The AI Workflow is delivered as a sequenced blended journey: each component builds on the previous one, moving participants from prompting logic to live AI missions to a redesigned workflow of their own.

Phase 1 · 3 × 30 min game
E-Learning

A self-paced game where participants discover the logic of AI-augmented work: frame the task, prompt with context, evaluate critically, refine, and integrate into the workflow.

Builds — the foundation: the prompt template and validation logic.
Phase 2 · 3 × 90 min role-play
Live Online Sales Simulation

Live online missions where teams solve realistic business tasks with AI — drafting, summarizing, analyzing — and defend output quality against critical review.

Builds — confidence: AI use pressure-tested on real business tasks.
Phase 3 · 2 × 6 h seminar
In-Person Seminar

Teams apply everything to their own recurring work — mapping a real process, redesigning it with AI steps, and validating quality, risk, and time gains.

Builds — results: AI-enhanced workflows for real team processes.

Three Core Skills of AI-Augmented Work

Prompting

Frame tasks with role, context, constraints, and examples to get reliable, reusable results.

Critical Evaluation

Validate AI outputs for accuracy, bias, gaps, and risk before anything leaves the team.

Workflow Integration

Anchor AI steps into recurring processes with clear owners, checkpoints, and quality rules.

The final deliverable: an AI-enhanced work process

Participants leave with a concrete workflow artifact — a mapped real process, redesigned with AI steps, prompt templates, validation checkpoints, and measured time and quality gains — ready for team adoption. The result is not another tool demo. It is a better way of working.

The Workflow Map

01
Frame the Task
02
Prompt
03
Evaluate
04
Refine
05
Integrate
06
AI Workflow