the first mistake most people make with AI is delegating too early.
they open a prompt window before they’ve clearly defined what they need. they hand over tasks AI isn’t suited for. they skip the thinking that should happen before any AI is involved.
delegation isn’t about offloading work. it’s about distributing it intelligently.
what delegation actually means#
in the AI fluency framework, delegation is the strategic process of deciding what work to do yourself, what to collaborate on with AI, and what to let AI handle independently.
it sounds simple. it isn’t. good delegation requires two things most people don’t stop to develop — problem awareness and platform awareness.
problem awareness — understand the work before involving AI#
before you open a prompt window, you need to clearly understand what you’re trying to achieve.
this means:
- what does a good result actually look like?
- what are the different components of this task?
- where does human judgment, creativity, or domain expertise matter most?
- where is AI likely to add the most value?
SOC example — you’re investigating a potential lateral movement alert. before delegating anything to AI, you need to know: what am i actually trying to determine here? what context do i already have? what does a good investigation summary look like?
without that clarity, you’ll get a generic output that doesn’t serve the investigation. with it, you can delegate specific, well-defined pieces — and keep the judgment calls for yourself.
domain expertise is the foundation of effective delegation. you can’t intelligently decide what to give AI if you don’t deeply understand the work yourself.
platform awareness — know what different AI systems can do#
not all AI systems are equal. different models have different strengths — some prioritise speed, some accuracy, some creative output, some reasoning depth.
platform awareness means:
- understanding the capabilities and limitations of the tools you use
- knowing which tool fits which type of task
- experimenting enough to build genuine intuition
for Security analysts — Claude, ChatGPT, Copilot, and specialised security AI tools each have different strengths. using the wrong tool for the wrong task is a delegation failure even before you write a single prompt.
this isn’t about memorising feature lists. it’s about building hands-on experience and being deliberate about which platform you reach for and why.
task delegation — distributing work intelligently#
once you understand the work and the tools, you can make intelligent delegation decisions. three categories:
automate — tasks AI can handle independently with minimal oversight. formatting, summarising structured data, generating first drafts from clear briefs, translating, extracting information from documents.
augment — tasks where human and AI work together iteratively. investigation analysis, report writing, threat hunting hypotheses, detection rule drafting. you bring domain expertise and judgment, AI brings speed and pattern recognition.
keep human — tasks requiring critical judgment, ethical decisions, or accountability. final escalation decisions, stakeholder communications on sensitive incidents, anything where being wrong has serious consequences.
what Security analysts should never fully delegate#
a few things worth naming explicitly:
- final verdict on an alert — AI can inform, never decide
- sensitive stakeholder communication — tone, context, and judgment matter too much
- novel threat assessment — AI’s knowledge has a cutoff. your current context doesn’t
- anything requiring organisational accountability — you sign off on it, you own it
a simple delegation question to ask before every task#
“what part of this genuinely requires my expertise, and what part is execution that AI can handle?”
that single question, asked consistently, changes how you work.
next up — description. once you’ve decided what to delegate, how you communicate it determines everything.
what’s one task you currently delegate to AI that probably deserves more of your judgment?
took ai help to clean up typos. my brain works faster than my fingers. xd
next up: AI Series #21 — “the gap between what you mean and what AI understands” AI Fluency Cheat Sheet back to series index
