Human Intelligence
Defines problems, sets priorities, interprets situations, and owns decisions.
Intelligence Allocation
A practical framework for deciding what belongs to human intelligence, what belongs to AI, and what should become software.
Intelligence allocation is the process of deciding what work should be performed by human intelligence, artificial intelligence, and software.
Different forms of intelligence have different strengths, limitations, and failure modes. Effective allocation means matching each part of the work to the form of intelligence best suited to perform it.
Intelligence allocation begins by understanding what human intelligence, AI, and software are each suited to do.
Defines problems, sets priorities, interprets situations, and owns decisions.
Explores possibilities, detects patterns, compares alternatives, and synthesizes information.
Executes clearly defined work reliably, consistently, and repeatedly.
Each form of intelligence performs best under different conditions.
Good allocation means assigning each part of the work to the intelligence best suited to perform it.
Misallocation creates predictable problems. Each form of intelligence fails differently.
Most allocation problems are not caused by a lack of intelligence. They arise when work is assigned to the wrong form of intelligence.
AI is valuable for generating, comparing, and analyzing possibilities, but responsibility for decisions remains human.
Software performs best when the work is clearly specified. It struggles when the task itself is still evolving.
People often perform work that could be handled more consistently and efficiently by software.
Adding AI too early can accelerate work in the wrong direction if the problem has not been framed properly.
The objective is solving the problem effectively, not maximizing automation or AI adoption.
Most projects involve multiple forms of intelligence. The objective is not to choose one, but to allocate each part of the work to the form of intelligence best suited to perform it.
Define the objective, evaluate tradeoffs, and approve the final version.
Generate alternatives, identify weaknesses, improve clarity, and suggest revisions.
Manage document versions, approvals, permissions, and workflow.
Different parts of the same project belong to different forms of intelligence.
Handle unusual situations, make exceptions, and resolve complex cases.
Draft responses, summarize conversations, and suggest solutions.
Route tickets, track status, notify customers, and enforce processes.
Routine work can be automated while human judgment remains available when it matters.
Choose priorities, evaluate tradeoffs, and decide what to build.
Analyze customer feedback, identify patterns, and explore possible directions.
Collect feedback, manage tasks, and track implementation.
AI supports better decisions, while software supports better execution.
Define the research question, interpret findings, and determine conclusions.
Summarize literature, compare sources, identify patterns, and generate hypotheses.
Store documents, organize references, and automate data collection.
Research benefits from all three forms of intelligence working together.
Define the target market, evaluate opportunities, and build relationships.
Research companies, personalize outreach, and identify promising prospects.
Manage CRM data, campaign workflows, and follow-up sequences.
Allocation improves when each form of intelligence performs the work it is best suited for.
Clarify what is actually being solved before anything is built.
Decide what belongs to software, AI, and human judgment.
Produce the type of solution the problem requires.
Before automating, integrating AI, or building software, decide what should be human-led, what should be AI-assisted, and what should become reliable software.