First-draft automation
First-draft automation uses AI to produce the complete initial response — requirements extracted, each answered from the organization's knowledge base with citations — shifting human effort from authorship to review. The draft arrives written; the team's job becomes verification and refinement.
The first draft is response work's costliest phase: blank-page authorship across dozens or hundreds of requirements, coordinated among people with day jobs. Automating it changes the economics only if the draft is trustworthy enough to review rather than rewrite — which is why grounding and citations are the load-bearing features: every generated answer tied to specific source passages, so reviewers verify evidence instead of fact-checking prose from scratch. Mature implementations add structure awareness (dependency-ordered answering so multi-part responses stay consistent) and honest routing (questions flagged for human-only handling instead of hallucinated). The reclaimed hours don't disappear; they move to strategy, win themes, and review cycles — the scored parts.
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