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Continuumship
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For VPs of engineering and CTOs

See where time and risk go, before you change anything.

Continuumship reads how your teams really ship and shows where work waits, and on whom — by team and by Area, never by person. Model spend is recorded per work item, under budgets you set.

Lead time by team, active and waiting, with the cases each figure rests on.

What you tell us

The board asks three questions.

  • “What are the agents actually doing?”

    Engineers use agents every day. You cannot say what an agent did, under whose approval, or against which requirement.

  • “Where does the time go?”

    Lead time is one number on a dashboard. Whether it went on building, on waiting for review or on waiting for a decision, nobody can show you.

  • “What is the model bill buying?”

    Spend arrives as one invoice a month. Which team, which Area, which work item — the invoice does not say.

How Continuumship answers

Figures from your own work, with their coverage.

Where time and risk go

Active time against waiting time, by stage, with the kind of party each item waited on. Every figure carries the number of cases it rests on.

  • By team and Area, never by person
  • Observed figures labelled and kept apart

The adoption report

The process as it is, what your target process would have asked of it, and the repeated work an agent or a rule could take on — counted per month, with the items behind it.

  • What is unknown, in a section of its own
  • A baseline frozen before anything is turned on

Model spend per work item

Every run records what it used, as your runners and providers report it, attributed to a work item, an Area and a step. A budget stops the run that would break it.

  • Budgets per Area, per template, per work item
  • A cost labelled an estimate until it is reported

How to start

A decision in thirty days, on one Area.

Nothing changes in your systems while it runs. At the end you have the report, the evidence behind it, and a choice of the first automations to turn on.

  1. Week 0 · Connect

    Connect the tracker, the code host, your pipelines and one observability source with read-only scopes. Map one team to an Area.

  2. Week 1 · History and discovery

    History is read back. Where time goes appears, and the process the team really follows is discovered.

  3. Week 2 · Confirm and shadow

    The team's lead confirms the discovered flow. The process you want, and its guardrails, go into shadow.

  4. Weeks 3–4 · Shadow on live work

    Shadow evaluation runs on live work. We read the adoption report together, and you decide the next rung.

Questions engineering leaders ask

Will it tell us how much faster we get?

It shows you, from your own work, where time goes and on whom it waits. When you turn an automation on, the baseline is frozen and the same definitions are computed again after thirty and ninety days. A difference is shown as a difference; what caused it is yours to judge.

What does it replace?

Nothing, on day one. It adds the process, the decisions and the evidence across the tools you keep. You replace a tool only when you decide it has been outgrown, one capability and one Area at a time.

Do we have to adopt it everywhere at once?

No. Adoption is per Area, on a ladder earned by evidence from that Area's own work. Your core banking can stay on Observe while your marketing site delegates, and every rung works without the ones above it.

Read your own adoption report.

A thirty-day shadow pilot on one Area: connect, observe, read the report together, decide.