Figure 1. The five gates in order, with the framework supplying each gate’s entry criteria.
§ 02Five gates
Five gates.
No AI system reaches production, or remains there, except by passing five gates in order. G1 Data and Design consumes data classification and lineage from AI Data Governance and vendor clearance from AVRF. G2 Validation consumes independent validation from MESA MRM. G3 Approval binds a named person. G4 Deployment records what shipped. G5 Operation is where the system lives and where revalidation returns.
Figure 2. Rollback and loop-back. The reverse paths are part of the model, not exceptions to it.
§ 03One named person, never a committee
One named person, never a committee.
The accountable role at every gate must be a single named person. A committee, a function, a team, a board or a role held jointly must not be recorded as the accountable role. This is the property that distinguishes the model from a pipeline: a pipeline enforces a sequence, and a gate assigns a person to it. An institution that records a committee has a sequence with a meeting attached.
Figure 3. Each gate record as a BOE Declaration, which is what makes it joinable with validation and residency records.
§ 04The reverse paths, and the field most often omitted
The reverse paths, and the field most often omitted.
Rollback and loop-back are part of the model. A system that cannot return to an earlier gate has a one-way pipeline with gates painted on it. Passing with conditions is permitted and must be recorded, because an unrecorded exception is a skipped gate. The field easiest to omit and the one reconstruction most needs is the policy version in force at the moment the gate was passed.
§ 05Where it applies
Which institutions, and on whose authority.
Any regulated institution
Five-Gate governs how any AI system reaches production and who said it could. The gates do not change by sector; what changes is which framework supplies each gate’s entry criteria, and how much evidence the supervisor expects to see at G3.
§ 06How it has changed
The record of its own revisions.
A framework that cannot say how it changed reads as though it never has. This is drawn from the registry entry, which versions itself independently of the specification it points at.
Change history
2026-08-30 · entry v1.0 — First registry entry, status instrument-pending
2026-08-30 · entry v1.0 — Records the promotion to the lifecycle spine of the governance family, and the BOE mapping
2026-09-15 · entry v2.0 — The inbound supply edge from REG-02 now carries the revalidation trigger register at G5, which this framework names as an entry criterion at 3.6 of its own specification. The entry changes; the framework does not
Limitations recorded in the registry
A trademark clearance search has not been completed as of the date of this registry. The naming rule is stated as a discipline rather than as the outcome of one, and this registry does not assert that the mark is available.
No readiness assessment instrument exists, so an institution can be told what the gates require but cannot be scored against them.
No gate evidence templates are published.
Governs passage. Does not specify what a validation must contain, what a classification must cover or what a monitoring threshold should be.
What would show this to be wrong. Five-Gate is falsified if institutions operating five gates with a single named accountable person at each are found to deploy unfit AI systems at the same rate as institutions operating an automated delivery pipeline with equivalent automated checks and no named approver. The model's distinguishing claim is that a named person accountable at a checkpoint changes the outcome relative to an equivalent automated check, and evidence that it does not would leave the gates as latency.
§ 07Honest limits
What this does not claim.
Asserted. A trademark clearance search has not been completed against third-party registrations in the product-innovation field, where gated progression is a crowded space. The specification deliberately names no proprietor and no jurisdiction.
No institution unconnected to the author has been observed operating the model end to end.
§ 08Cite
Citation.
Cite this work. Five-Gate Deployment Model, version 1.0. 10.5281/zenodo.22170122. This is the concept DOI and it always resolves to the latest version. CC BY 4.0.
This page is a snapshot, accurate at the release it cites. The same corpus is callable, publicly and without a key, so an assistant can query it live and return an answer carrying the source it came from. For this page that is explain_this_setup and search_knowledge, which do what this page describes rather than describe it again: the first returns how this site's machine layer is actually built, component by component, and the second queries the corpus behind this page and returns matches with the URL each came from. The page states the practice; the tools are the practice.
01 · Connect
claude mcp add --transport http concylium https://mcp.nabeelkhan.com/api/mcp
Claude Desktop, ChatGPT, Cursor, VS Code and Gemini CLI take the endpoint on its own: https://mcp.nabeelkhan.com/api/mcp. No key, no account, nothing to sign. Setup for every client.
02 · Ask
“Using Concylium, call explain_this_setup and tell me whether this site actually implements what its machine-accessible-ai-expertise page claims.”
A category page that survives being audited by the reader's own assistant is doing something a brochure cannot.
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