Enspirit Delivery OS

Your team ships faster.You keep the evidence.

AI inside the software you already ship, measured against your own Jira and Git history. Enspirit Delivery OS installs in your repository as rules, skills, and checks. You own all of it.

Start with four weeksSee what gets installed

Four weeks, fixed scope, fixed fee. If your cycle time does not move, you do not pay for it.

Where it stalls

The gap is between AI and production.

You bought seats.

Every engineer has an assistant. Individuals got quicker. Releases got no steadier.

You ran a proof of concept.

It won the demo. Then it met your auth, your data and your change board, and it never left the sandbox.

You can't show where the week goes.

Leadership sees missed dates. Engineering sees full calendars. Nobody has a baseline to settle it.

The drag is not in your people. It is in the distance between what your team decides and what actually reaches production, and nobody has been measuring it.

What gets installed

What lands in your repository.

There is no new tool to buy, no platform to migrate to, and no process to retrain anyone on. Enspirit Delivery OS installs into your repository as rules, skills, and checks. Your engineers keep working exactly where they already work.

  • rules12Always on, enforced before a commit exists
  • skills40Invoked by your team, where they already work
  • checks8Flag, never decide
  • decision recordsWritten for anything structural
  • baseline queryThe query behind every number we report

You keep all of it, versioned in your repo under your identity provider, whether or not you continue.

How it works

Seven steps, three human checkpoints.

Every change moves through the same seven steps, and each step hands the next a finished artifact. Checks flag. Agents draft. A person approves every plan, every diff, and every release.

  1. 01FoundationProject context
  2. 02RefineValidated briefDesign input
  3. 03SpecifyVerifiable specDesign input
  4. 04PlanExecutable planArchitecture review
  5. 05BuildWorking code, testsCode review
  6. 06VerifyVerified criteriaQA verdict
  7. 07ShipLive and healthy
Shipped product

What shipped feeds the next brief

Design enters at Refine and Specify: flows and prototypes from your designers or ours become part of the brief and the spec the code is checked against. Tenet applies the same checks inside Figma.

  • Rules versioned and reviewed like code, applied before a commit exists.
  • Every decision lands in your repo as a file: the audit trail is a by-product of the work.
Start with four weeksSee how a change moves, in technical detail

What changed

Your backlog stops growing endlessly.

The number that matters is not how much you ship. It is whether you close more than you open. On a corporate travel platform, that crossed over.

0.451.18

Resolution ratio. 45 closed per 100 opened became 118. Above 100, the backlog shrinks.

33.1 to 16.0
Median cycle time, days
5.2×
Throughput, same engagement
8×
Throughput at Innovative IDM

Measured from the client's own Jira and Git history over a 13-month before window. The same data shows time to merge slightly slower and bug share up five points, which we report unchanged. The travel client is not named at their request.

The first four weeks

Four weeks to a number you can check.

  1. 01

    Baseline

    Week 1

    We choose the workstream your roadmap is waiting on and measure its cycle time from your own Jira and Git history.

  2. 02

    Install

    Weeks 2 and 3

    Rules, skills, and checks go into your repository, with a weekly working session.

  3. 03

    Measure

    Week 4

    We report against your baseline and show you the query we used.

  4. 04

    Scale

    Then

    More workstreams, or an embedded team on a monthly fee.

Week 4 checkpoint

If your cycle time does not move, you do not pay for the first four weeks. We measure against your own baseline and show you the query.

The terms

Fixed timeline, flexible scope. You tell us the date that matters and what has to be true by then. We come back with what fits, what does not, and what we would cut first. The date holds.

Scope
One web product workstream, chosen with you in week one
Duration
Four weeks, fixed scope and fixed fee
Baseline
Your current cycle time and resolution ratio, measured from your own Jira and Git history
Install
Governance layer committed to your repo: rules, skills, and checks
Cadence
Weekly working session, and a written decision record for anything structural
You keep
The whole governance layer, versioned in your repo under your identity provider, whether or not you continue

Fit

Who this is for.

This works when

  • You run a web product team of roughly 8 to 60 engineers
  • AI-assisted coding is already happening, with or without a policy
  • You use Jira or Linear as the system of record
  • Someone above you is asking how delivery is measured
  • You would rather own the system than rent a team

Probably not a fit

  • You want engineers by the seat rather than an outcome
  • You are pre-product and still looking for the shape of it
  • You need the whole organization changed in four weeks

Questions

Common questions about Enspirit Delivery OS.

Governed AI delivery installed in your repository. It gives your team skills to invoke, rules enforced before a commit exists, and a traceable line from intent to release, versioned in your own codebase rather than a vendor’s platform.
It installs as rules, skills, and checks in the repo you already use, so your engineers keep working where they already work. There is no new tool to buy, no platform to migrate to, and no process to retrain anyone on. It ships with 40 skills your team can invoke, 12 always-on rules, and 8 checks that flag issues but never make the call themselves.
One web product workstream, chosen with you in week one. Four weeks, fixed scope and fixed fee. We baseline your current cycle time and resolution ratio from your own Jira and Git history, install the governance layer in your repo, and meet weekly, with a written decision record for anything structural. You keep the whole governance layer, versioned in your repo, whether or not you continue after the first four weeks.
You do not pay for the first four weeks. We measure against your own baseline, taken in week one, and show you the query we used.
All three, in a specific order. AI agents inside it draft and flag; your people approve, merge and ship. It is not a tool you buy or log into: it is rules, skills, and checks in your repository, and you keep them whether or not you continue. And it starts as a service: our engineers install it and work with yours for the first four weeks. What stays behind is the system, not us.
Your people. The checks flag issues and the agents draft, but a person approves the plan, reviews the code, and gives the QA verdict before anything ships. Any check can hold a release, and nothing ships until it clears.

Start

Tell us what you are trying to ship.

We will come back with how we would run it, what we would measure, and whether starting with four weeks is the right move. No deck.

Four weeks, fixed scope, fixed fee. If your cycle time does not move, you do not pay for it.