Integration · Issue & Project Tracking · Engineering

The decision-memory layer for Jira

Jira is the backbone of engineering delivery — but the why behind a priority call, a descoped ticket, or an architecture decision lives in comment threads nobody reads six months later.

ADAMAS is the decision ledger that connects to Jira and captures the why behind every decision made there — structuring it into a permanent, searchable record your whole company can use. It doesn't replace Jira; it gives it a memory.

Where decisions disappear in Jira

A Jira status transition or a reprioritised epic is a decision. The reasoning sits in the comments — and as tickets close and boards reset, that engineering judgement quietly disappears.

For a scaling technical company, that lost reasoning is exactly what new engineers, post-mortems and architecture reviews depend on. Jira records the work; it doesn't preserve the thinking.

How ADAMAS connects to Jira

ADAMAS plugs into Jira and continuously reads the places where decisions and their reasoning live:

Example

An epic is descoped mid-sprint. ADAMAS captures the decision, reads the comment thread for the rationale ("dependency slipped, ship v1 without it"), records who decided, and links it to the epic — building an engineering decision trail post-mortems can use.

Fetch → Evaluate → Feed the ledger

1 · Fetch

Connect Jira

ADAMAS securely reads the items, changes and threads where decisions happen — local-first.

2 · Evaluate

Find the real decisions

AI surfaces the calls that actually matter — the why, the who and the trade-offs behind each one.

3 · Feed

Write the ledger

Each decision is structured, linked and stored — searchable and permanent.

What you get

See it on your own Jira

Start with a Clarity Audit: we map exactly where your decisions are leaking out of Jira and deliver a report you can act on.

The Clarity Audit — $1,000, credited toward your build.
Book your Clarity Audit →

Jira + ADAMAS — FAQ

Is ADAMAS a Jira replacement?

No. Jira stays your issue tracker; ADAMAS captures the reasoning behind the decisions made in it and structures it into a decision ledger.

How does the Jira integration work?

Through Jira's API and webhooks — ADAMAS reads issues, status transitions and comments, then writes a structured decision entry for each meaningful call.

Does our data leave Jira for a third-party cloud?

No. ADAMAS is local-first and runs on hardware you own; external routing only happens for tasks you explicitly approve.

Can it combine Jira with Slack and docs?

Yes — ADAMAS unifies reasoning from Jira, comms, meetings and documents into one decision ledger.