For teams where alignment beats speed.

The problem isn't missing documentation — it's disappearing context

Mature teams often have plenty of documentation. The challenge, as one product owner put it in our discovery, is that the context behind a decision gradually disappears. People remember what was implemented but not the assumptions, trade-offs, and constraints that led there. When someone asks “does this still hold?”, the reasoning has decayed and the debate reopens.

For architecture and platform work, that decay is expensive. A single re-litigated decision can stall a quarter, and onboarding a new engineer means reconstructing history through conversations with long-tenured colleagues — which does not scale.

Brief the human reviewer and the agent alike

DM hands the approved decisions with their rationale, the alternatives the team rejected and why, and the constraints and document rules that apply — to a human architect reconstructing history just as readily as to an agent drafting a document. Whoever picks up the work already knows the direction, so review time goes to evaluating substance, not correcting context.

Maintaining continuity between the initial intent and the final outcome is the hard part. DM preserves it.

When an agent is involved, it returns alignment findings and any conflicts found against existing decisions, the assumptions it made, the open questions it couldn't close, and proposed updates to knowledge. A human decides what becomes trusted — whether the proposal came from an agent or a colleague.

Shared context across your existing tools

This does not replace Jira, Confluence, or a tool like Jira Product Discovery. Those track execution and preserve pages; DM keeps decision-level history retrievable even when you don't know the exact keyword. It's the shared context across the tools you already use.