AIP · Department

Data Foundations & AI Practice

The discipline underneath every article: document extraction, systems of record, prompt patterns, orchestration, autonomy, and governance.

8 objects documented in this department.

Practitioner

  • Prompt Patterns for Construction AIP 201 · Practitioner · Data Foundations & AI Practice
    The reusable structures for instructing AI on construction work — grounding, constraints, roles, and verification — that turn a fluent guess into a defensible, cited answer.
  • Levels of Autonomy AIP 202 · Practitioner · Data Foundations & AI Practice
    The graduated framework — from suggest to fully unattended — for deciding how much an AI system may do on its own for a given construction task, and what it must never do without a human.
  • Human Review & Approval Controls AIP 203 · Practitioner · Data Foundations & AI Practice
    The designed checkpoints where a person reviews, corrects, or approves AI output before it takes effect — and the discipline that keeps those checkpoints meaningful rather than a rubber stamp.

Advanced

  • Construction Data Foundation AIP 301 · Advanced · Data Foundations & AI Practice
    The connected, reconciled, access-governed layer of project and financial data that determines whether any AI applied to construction produces answers you can trust.
  • Document Extraction AIP 302 · Advanced · Data Foundations & AI Practice
    The capability that turns unstructured construction documents — invoices, insurance certificates, submittals, contracts — into structured, validated, traceable data.
  • System of Record Integration AIP 303 · Advanced · Data Foundations & AI Practice
    The disciplined connection of authoritative source systems so that data flows, reconciles, and stays trustworthy across accounting, project management, scheduling, and the field.
  • Agent Orchestration AIP 304 · Advanced · Data Foundations & AI Practice
    The coordination of multiple AI steps, tools, and systems into a governed workflow that carries a construction task across documents, data, and people end to end.
  • AI Governance & Auditability AIP 305 · Advanced · Data Foundations & AI Practice
    The framework of policies, records, and controls that makes AI use in construction accountable, traceable, and defensible — so every automated decision can be explained and examined.

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