What AI skills should my team have?
Three skills: prompt design (writing precise model inputs), output evaluation (judging confidence), and workflow integration (embedding AI in operating rhythm). The Aegis Academy (delivered inside AI Strategy Consulting) covers all three.
The short answer.
Three skills: prompt design (writing precise model inputs), output evaluation (judging confidence), and workflow integration (embedding AI in operating rhythm). The Aegis Academy (delivered inside AI Strategy Consulting) covers all three.
This is a question Aegis hears regularly during discovery. Here is the practical way to frame it.
How Aegis approaches this.
Aegis Boardroom's answer is shaped by three frameworks. Truth Architecture: recommendations are designed to be source-traced. Confidence Contract: recommendations are mapped to the canonical Aegis confidence states (I Know / I Think / I'm Inferring / I Don't Know). Life Integrity Engine: recommendations that may increase irreversible-harm risk are flagged for refusal or human review, not softened.
The fastest path is the AI Readiness Assessment: it returns a confidence-mapped band for your specific situation. From there, the Quick Win Plan or a deeper engagement scopes the right paid Aegis next step.
Frequently asked questions.
What should my team actually learn first?
Three skills: prompt design (writing precise inputs), output evaluation (judging how much to trust an answer), and workflow integration (building AI into the daily operating rhythm).
Why isn't knowing how to prompt enough?
Because a good prompt still produces answers someone has to judge and then fit into the workflow. Output evaluation and workflow integration are what turn prompting into results.
Where does my team pick these up?
The Aegis Academy covers all three, delivered inside AI Strategy Consulting.