Causance

A governed control plane for software change.

Causance makes authority, bounded execution, verification, evidence, review, and recovery explicit across the software-change lifecycle.

The Causance lifecycle

Six stages. One governed flow.

Every consequential change moves through a continuous lifecycle where authority, execution, evidence, assurance, recovery, and adoption remain connected from decision to decision.

Authority establishes the bounded right to act.

Scope, actors, limits, evidence expectations, exceptions, and rollback conditions become explicit before work begins.

Execution preserves what actually happened.

Task identity, baseline, state transitions, provider observations, and writes remain attributable to the real transformation.

Evidence stays attached to the exact state evaluated.

Verification, provenance, review, and eligibility expire when the underlying facts change.

Assurance must survive change honestly.

The system distinguishes what remains attributable from what has become stale, incomplete, or unsupported.

Recovery keeps unresolved state explicit.

Context replay, reconstruction, reference-store restore, authority, evidence, provider observations, and unresolved effects remain distinct until separately verified.

Adoption begins the next governed cycle.

Exact versions, compatibility, rollback, and acceptance determine what the downstream system may accept next.

The control plane

Causance makes lifecycle control explicit.

Governance stops being documentation surrounding delivery and becomes part of the lifecycle itself.

Authority before actionConsequential work begins from explicit bounded authority.
State that stays attributableDecisions and evidence remain bound to the software state they actually describe.
Protected reviewCreating a change never becomes permission to approve it.
Explicit recoveryReplay, rollback, restoration, continuity, and acceptance remain distinct.
Causance / software change control plane
Causance core

Governed lifecycle control

Authority controlBounded and explicit
Lifecycle orchestrationDeterministic progression
Agent & model governanceControlled autonomy
Evidence & verificationAttributable and current
Protected reviewSeparated acceptance
Recovery & adoptionExplicit return and forward motion
What must remain knowable?

The questions software change should never make impossible to answer.

Software Authority Model

Make decision rights explicit before consequential action.

SAM examines who may initiate, approve, implement, verify, release, suspend, or reverse change, and whether that authority is current, scoped, and attributable.

Causance

Bind lifecycle state to what actually happened.

Deterministic transitions, exact task identity, explicit scope, bounded observations, and revision-bound evidence preserve the transformation record.

SAM and Causance

Treat stale or conflicting evidence as a stop condition.

The method defines what evidence a decision requires. The platform makes those evidence rules operational.

Recovery and continuity

Keep recovery boundaries explicit.

Recovery-state classification, context replay, reconstruction, reference-store restore, acceptance, authority, evidence, and provider observations remain distinct.

Assurance Continuity and Trust

Test whether assurance remains attributable after change.

The research examines when changed code, dependencies, evidence, scope, or conditions invalidate the prior assurance relationship.

The system around Causance

One concern. Distinct disciplines.

Governance, research, platform control, and downstream product adoption stay separate while addressing the same problem: keeping authority, state, evidence, review, and recovery explicit through software change.

CausancePlatform

A governed control plane for software change.

Causance connects authority, lifecycle state, evidence, protected review, recovery, compatibility, and adoption without absorbing product-specific ownership.

Why it matters: the software lifecycle gains a reusable control layer above individual repositories, agents, providers, and delivery tools.

Software Authority ModelGovernance

A proposed, non-normative model for consequential software change.

SAM makes decision rights, delegation, evidence requirements, release authority, exception handling, rollback, recovery, and continuity explicit.

Why it matters: technical access is not the same thing as legitimate authority.

Assurance Continuity and TrustResearch

The research question of what assurance remains attributable through change.

Assurance Continuity and Trust investigates when prior assurance remains attributable after software, dependencies, evidence, scope, providers, or operating conditions change.

Historical lineage: canonical research artifacts retain the earlier Assurance Continuity name.

Technology Control RoomDownstream product

A downstream product adopting Causance.

TCR receives explicit Causance versions through compatibility validation, rollback readiness, and product-owned acceptance while retaining its own business logic, policy, evidence, and user experience.

Why it matters: reusable lifecycle control reaches a product without erasing the boundary between platform capability and product meaning.