GenAI ESSENTIALS
Hands-on enablement labs that bridge the gap between knowing GenAI and using it safely
Live, instructor-led 90-minute sprints to raise capability organization-wide.
Start with Pulse if you need a baseline first.
The challenge
Awareness isn’t the same as ability
Teams know what GenAI can do. The gap is turning that knowledge into reliable, day-to-day work habits.
Passive formats don’t transfer
Webinars, demos, and slide decks raise awareness but don’t change behavior. Completion rates look healthy while on-the-job prompting, verification, and data handling habits stay unchanged.
Generic content wastes budget
"Introduction to GenAI" is the same for everyone, whether you write board memos or process invoices. Without workflow-specific practice, teams leave training unable to apply what they heard.
No safe space to build judgment
High-stakes work is the wrong place to learn. Teams need structured, low-risk scenarios to practice framing tasks, verifying outputs, and handling sensitive data before real consequences are on the line.
Enablement Labs
Eight hands-on sprints
Each lab is a 90-minute, instructor-led session focused on a real workflow your teams use every day.
Core
01
Content Production
Plan → Outline → Produce
Structure a deliverable from scratch, scoping the task, generating an outline, and producing a polished first draft ready for review.
02
Draft & Verify
Draft → Verify → Share
Take a rough draft through verification and refinement, checking for accuracy, hallucinations, and tone before sharing with stakeholders.
03
Document Review
Review → Redline → Approve
Accelerate document review by identifying issues, suggesting redlines, and preparing approval-ready summaries.
04
Summarization
Summarize → Cite → Highlight Risks
Distill long documents into actionable summaries with proper citations and flagged risks for compliance and decision-making.
Elective
05
Meetings
Prep → Capture → Actions
Prepare agendas, capture key decisions in real-time, and generate action items automatically from meeting notes.
06
Extract & Compare
Extract → Compare → Explain
Pull structured data from documents, compare across sources, and generate clear explanations of differences.
07
Ideation
Ideate → Expand → Refine
Generate initial concepts, expand on the strongest ideas, and refine them into actionable proposals.
08
Recommendations
Frame → Compare → Recommend
Frame decision criteria, compare options systematically, and produce well-reasoned recommendations.
Skill areas covered
Five capability dimensions
Every lab reinforces the same core skill model used across all AGASI products.
Prompting
Task framing, context setting, and constraint definition.
Verification
Checking outputs for accuracy, hallucinations, and completeness.
Data Handling
Handling sensitive information safely when using GenAI tools.
Ethical Use
Bias awareness, attribution, and organizational policy compliance.
Workflow & Audience
Adapting outputs to real workflows and intended audiences.
Book a lab
Tell us about your team and we’ll recommend the right lab combination.