Enspirit Delivery OS

Your team ships faster.You keep the evidence.

Governed AI delivery, installed in your repository. The rules, the skills, and the checks live in your codebase, not behind somebody else's gateway. You own all of it.

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

What you have already tried

The problem was never your team.

You hired more engineers.

Headcount went up. Throughput did not.

You brought in a vendor.

Tickets closed. Nobody owned the outcome.

You bought AI tooling.

Individual output rose immediately. Team deployment frequency stayed flat, because the bottleneck was never typing speed.

Your senior engineers got buried.

The people who should be setting direction spend their day reviewing generated code they did not write and cannot fully vouch for.

Nobody can show where the time goes.

Leadership asks why delivery is slow. Engineering says it is at capacity. Both are right, and no one has the data 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.

How it works

One command, in the repo you already have open.

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

40
Skills your team can invoke
12
Always-on rules
8
Checks that flag, never decide
0
New tools to adopt
  1. 01FoundationProject context
  2. 02RefineValidated brief
  3. 03SpecifyVerifiable spec
  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

  • 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.
  • Each phase hands the next a finished artifact, and Surveyor produces the signals AURA, the release confidence platform, scores at the end.

The crew

Eight agents, led by what they cannot do.

Every agent platform will tell you what its agents can do. The part that makes the output trustworthy is the boundary. Each member of the crew has a fixed job and a fixed limit, enforced by the rules in your repository.

Lookout

LKTresearcher

Gathers source material and prior art, reports what is ahead.

Does not decide.

Navigator

NAVplanner

Decomposes work into tickets and sequence, sets the course.

Does not build.

Sparks

SPKwriter

Drafts prose, posts, docs, and copy.

Does not touch application code.

Shipwright

WRTbuilder

Writes and changes code, writes unit tests.

Cannot skip tests. Escalates on schema changes, dependency bumps, and anything genuinely ambiguous rather than guessing.

Auditor

AUDreviewer

Reads the diff against the rules and a security checklist, describes exactly what must change.

No write access. It cannot change anything it finds.

Surveyor

SVYverifier

Runs the suite, checks the stage deploy, produces pass or hold.

Cannot write application code, cannot merge.

Dispatcher

DSPpublisher

Promotes stage to production, confirms live.

Never merges on its own.

Archivist

ARCanalyst

Reads the record and reports what moved.

Writes nothing back.

There is no ninth agent. Enspirit Delivery OS itself is the orchestrator, and none of the eight leads the others. Tenet, the design governance plugin for Figma, applies the same idea to design.

Airlock and Deck

Before a release, every station reports.

Airlock is the mechanism that holds work. Not an agent, not a person. Before anything ships, every station reports go or no-go. Any single station can call a hold, and nothing proceeds until it clears.

Surveyor operates the Airlock and is the only member of the crew who can hold a release. The poll is on the record.

The record is the dashboard

Deck is the read-only client view over the plain-text records in the governance repository. No database, no login, no server-side state; it generates the meeting deck from the same facts it displays, so the two cannot disagree. Delete the directory and every record still stands, because the records are files in your repository.

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
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 pilot

Four weeks. One workstream.

Fixed timeline. Flexible scope.

We scope the work to fit the time, not the other way around. 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.

That only works because the system underneath is predictable. Ambiguity surfaces in the first week, where it costs an hour, rather than in week nine, where it costs the release.

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

If your cycle time does not move, you do not pay for the pilot. We measure against your own baseline, taken in week one, and we show you the query.

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 pilot.
You do not pay for the pilot. We measure against your own baseline, taken in week one, and show you the query we used.
Teams running a web product with roughly 8 to 60 engineers, where AI-assisted coding is already happening, with or without a policy, Jira or Linear is the system of record, and someone above you is asking how delivery gets measured.
If you want engineers by the seat rather than an outcome, you are pre-product and still finding the shape of it, or you need the whole organization changed in four weeks, this is probably not the fit.

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 a pilot 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.