Launch preview · The control plane for governed AI. Built in the open
Rangoon.ai

Government

AI governance for government
Workload controls and review evidence

Rangoon provides a launch architecture for teams that need to assess agent capabilities, workload boundaries, approvals, and operational evidence against their own mission obligations.

Launch architecture · Active development

Rangoon guiding a bounded fleet of smaller crabsProduct architecture illustration
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01

Assess mission obligations before a workload is used

Mission owners can evaluate a proposed capability against their own legal, policy, security, privacy, records, and operational obligations before it is selected for a workload. Rangoon supplies a structure for that review; it does not make a compliance determination, grant an authorization to operate, or claim certification.

Defined decision context

A review record can identify the mission purpose, operating environment, data classes, proposed tools, responsible owner, and expected side effects.

Public reference material

Use the public standards and security guidance at /standards/ and /security/ as product context, then apply the program's own governing requirements.

Rangoon presenting an action packet at a shield-shaped authorization checkpoint
Capability proposes. Authority decides.
02

Set workload and data boundaries

A capability record can distinguish an internal analysis task from an operation that accesses a system, moves data, changes a record, or communicates outside the program boundary.

Explicit operations

Connector operations identify target resources, required inputs, credential context, data handling expectations, and side-effect metadata for review.

Target-specific constraints

Harness and deployment records preserve environment limits, compatibility notes, and unresolved gaps instead of assuming that a capability behaves the same everywhere.

03

Prepare procurement evidence that can be examined

Teams can organize capability provenance, version history, dependencies, adapter limits, test material, and declared permissions into review packages for acquisition and technical stakeholders.

Traceable scope

A package can connect an operational requirement to the proposed capability, its target constraints, and the evidence used to review it.

No implied vendor status

Product direction and adapter concepts are not a representation of contract eligibility, certification, approved product status, or a government endorsement.

Rangoon inspecting an execution receipt beside connected packet and policy tiles
A clear line from proposal to decision to evidence.
04

Keep approvals and records tied to the exact action

For consequential operations, the reference LNSAT lifecycle separates a proposal, versioned packet, policy input, human approval, server-side authorization, execution result, receipt, and reconciliation state.

Specific approvals

An approval can bind the requested resource, digest, scope, and expiration so that it does not become a standing grant for changed or broader work.

Reconstructable record

Receipts connect the requested, approved, and executed digests with adapter, result, and reconciliation context for later review.

05

Assign deployment and operating ownership

Delivery planning separates bundle preparation, target readiness, activation intent, runtime operation, and recovery responsibility. Program teams retain responsibility for deciding which environment and operating process meet their obligations.

Ownership at each boundary

A delivery proposal can name the target environment, prerequisites, accountable operator, required review, and rollback path.

Launch availability

Application source and release materials will define the interfaces and deployment forms available at launch; this page does not offer a hosted service or deployment authorization.

References and related documentation

Technical evaluation

Evaluate the
Rangoon architecture.

Review the product model, security boundaries and integration contracts.

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Product previewConcept interface · sample data · active development

Explore the design. Actual interfaces and feature availability may evolve.

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