Reasoning, not just files
Preserve the logic behind a decision: assumptions, evidence, dissent, and uncertainty.
Decision memory for enterprise AI
Vigil is the system of record for organizational reasoning: what your team decided, why it decided it, what evidence supported it, and what changed afterward.
A private, workflow-led demonstration. No self-serve checkout.
Foundation models supply intelligence. Vigil supplies continuity, provenance, and the institutional context that no single prompt contains.
Re-paste the background into every new AI conversation.
Retrieve the relevant decision, assumptions, and evidence from one governed record.
Trust that someone remembers why the team chose this path.
Open the original reasoning, dissent, revisions, and unresolved questions.
Discover stale assumptions in the next review or post-mortem.
Connect new evidence to the decisions it may change, with citations.
Preserve the logic behind a decision: assumptions, evidence, dissent, and uncertainty.
Keep a versioned history and test new evidence against commitments made months ago.
Let authorized AI retrieve cited workspace context through documented, read-only tools.
Preserve the committee record, then keep the approved thesis connected to later evidence.
Decision memory is a governed record of what an organization decided, why it decided it, which evidence supported the decision, and how the reasoning changed. It gives authorized AI systems durable context beyond the files or prompts available in one conversation.
ChatGPT memory can retain selected details about a user or conversation. Vigil preserves institutional decision records: explicit assumptions, cited evidence, dissent, revisions, unresolved questions, and later outcomes across an investment or deal team.
Document search retrieves passages from files. Decision memory also records which claims and assumptions mattered to a decision, what evidence supported or contradicted them, and how the team revised its judgment over time.
No. Vigil preserves reasoning and connects new evidence to recorded assumptions. It does not recommend investments, tell users when to trade, or replace professional judgment.
We’ll show how it becomes an evidence-backed record your team and its AI can return to.
See it in a private demonstration