LoamDB — Decisions

How your org decides. Captured, not guessed.

Most tools record outcomes. The Decisions store captures the reasoning — the full trace of what was decided, who was involved, what alternatives were considered, and what happened next. That's not a log. That's institutional memory.

The gap in every enterprise system

Your CRM records that a 20% discount was given. It doesn't record why — that three major incidents made standard pricing untenable, that the VP approved an exception, that a similar situation two quarters earlier ended in churn, or that this decision created a precedent your team has been quietly following ever since.

The reasoning lives in an email thread, a Slack message, and the VP's memory. When they leave, it's gone.

The Decisions store exists to capture that reasoning — and make it queryable.

msgtktmtgdataSignalsctxContextassembledDecisionmadeoutConsequencewhat happened nextnormNormbecame a rule?Alternatives considered

What a decision trace contains

Every significant decision captured in Loam includes the full picture — not just what happened, but why.

The outcome

What was decided. Clear, searchable, connected to the people and accounts involved.

The reasoning

Why it was decided. The context, the constraints, the factors that made this decision the right one at this time.

The participants

Who was involved, who approved, who dissented.

The alternatives

What else was considered and why it was rejected. The road not taken is often the most valuable institutional knowledge you have.

The consequences

What happened after. Did the decision work? Did it create a norm? Did it become a warning?

From decision to precedent

A single decision trace is useful. A thousand of them are a competitive advantage.

As traces accumulate, Loam identifies patterns: which exceptions keep recurring, which decision types follow predictable paths, which circumstances reliably lead to particular outcomes. These patterns surface as precedents — queryable intelligence that makes every future decision faster, better-informed, and more consistent.

precedent detected

"Three times this quarter, reps offered discounts before a technical call. All three deals were lost. Early heavy discounting correlates with a 40% lower close rate."

pattern pre-call discounting
instances 3 this quarter
correlation −40% close rate
recommendation flag pre-call discount requests
norm emerging

"You've approved 15% discounts for healthcare clients in eight deals this quarter. Should this exception become a standard rule?"

frequency 8 instances in Q1
approver VP Sales (all 8)
outcome 100% renewal rate
action codify as policy?

Norms emergence

The most valuable organisational knowledge isn't in any policy document — it's the unwritten rules that everyone follows but nobody has documented. Loam surfaces these hidden norms and makes them explicit.

When your agents know your norms, they don't just execute instructions. They work the way your best people work.

Decision archaeology, made instant

Most organisations can't answer “why” about their own decisions from six months ago. Finding the answer means searching email archives, interviewing people who might remember, and hoping the context is still intact.

With Loam, the answer is one query away.

Institutional memory that compounds

Every decision captured makes the next one faster, better-informed, and more consistent.