Valkit is built for regulated teams: human-controlled AI, open LLM architecture, rapid drafting, and one continuous lifecycle from requirements through sign-off.
The S.A.F.E. framework
Four product principles that shape every AI and lifecycle path in Valkit.
Positioning
How SAFE shows up in the product
Pick a provider under Organization Settings → AI, or set none to hide AI across the product.
Generate requirements, risks, steps, or change proposals from package context, not an open chat.
Authors review, edit, accept, or dismiss. Provenance badges keep LLM origin visible.
PIN-backed e-signatures and workflow gates stay on the approved path. AI never skips them.
Buyer questions
No. Customer data is not used to train models.
Inference is scoped to package context plus the user prompt.
Yes. Organization Settings can hide AI controls entirely, org-wide. Critical workflows still complete without AI.
No. Every AI output is a proposal until a human accepts it. Evidence, lineage, and Part 11–oriented signatures stay on the controlled path.
Need more depth for a security questionnaire? Our Security and Responsible AI pages cover it.
Responsible AIThe validation lifecycle