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PLATFORM

From source event to recorded result.

Your engineering stack already contains the evidence. Qeino connects relevant events across planning, code and team communication, then reads them against the live critical path.

Start a pilotRead the security model

02Scope

One layer above the tools you already use.

Qeino does not replace Jira, Azure DevOps or your reporting stack. It does not write code. It does not score developers.

It connects programme evidence that already exists, surfaces delivery risk and records what happened next.

Section02 · Scope

03Mechanism

Five steps from event to evidence.

01ReadSource event02LearnNormal pattern03DetectDivergence04ReviewHuman decision05RecordEvidence record
Five stages, one continuous flow. Each stage produces one visible output.
  1. STAGE 01

    Read

    → Source event

    Read-only connectors ingest authorised work-item metadata, repository activity and team threads.

  2. STAGE 02

    Learn

    → Normal pattern

    Qeino baselines work flow, decision lead time, duplicate work, blocker detection and forecast error from your history. Your team validates and locks it.

  3. STAGE 03

    Detect

    → Divergence

    Qeino compares live critical-path activity with that baseline and flags patterns that preceded past slips.

  4. STAGE 04

    Review

    → Human decision

    The person who owns the fix decides what happens. Qeino begins with suggestions. Any later action authority is narrow, explicit and revocable.

  5. STAGE 05

    Record

    → Evidence record

    Each catch is recorded against the agreed baseline with the source events and the action taken, so the team can review what was flagged and what was decided.

Section03 · Mechanism

04What it measures

Five measures. Your history is the baseline.

  1. 01

    Recovered hours

    Time reclaimed from duplicated, delayed or reworked activity, linked to specific events.

  2. 02

    Decision lead time

    The difference between when a risk became detectable and when a decision was made.

  3. 03

    Duplicate work prevented

    Repeated investigations stopped before another team spends the time.

  4. 04

    Blocker detection

    How early a forming blocker reached the person able to remove it.

  5. 05

    Forecast accuracy

    The gap between the forecast and what actually ships.

Section04 · What it measures

05Integrations

Connect the stack you already run.

  • JIRAREAD-ONLY
  • GITHUBREAD-ONLY
  • AZURE DEVOPSREAD-ONLY
  • SLACKREAD-ONLY

Qeino reads the authorised data available through Jira, GitHub, Azure DevOps and Slack. Scope and field access are agreed connector by connector during technical review.

If your programme uses another system, bring it to the pilot conversation. We will say whether it is supported, needs work or is out of scope.

Section05 · Integrations

06Alternatives

Where Qeino sits in your stack.

Internal dashboards
Keep them for reporting. Qeino answers the earlier question: what is forming now, and who needs the evidence?
Senior judgement
Experienced engineers will always matter. Qeino reduces the manual reading required to find what they already know how to recognise.
Cloud engineering analytics
Strong products where engineering data may leave the perimeter. Qeino is built for the organisations where it may not.
Coding assistants
They help with work at file level. Qeino works at programme level. The two can run together.
Section06 · Alternatives

07Next step

Test it on your programme, not our demo.

Start with one programme, a defined baseline and success criteria agreed before deployment.

Start a pilot