Governance

Governance-First Workflows

Definition

Engineering workflows in which human-governed operational constraints are established and verified before work begins, rather than applied retroactively.

Definition

Governance-first workflows are engineering workflows in which the governing constraints — the rules, roles, and operational context — are established and verified before work begins, not applied retroactively after the work is done.

The distinction is foundational. In a governance-first workflow, the AI model operates within a defined, governed scope from the first prompt. In a governance-last workflow (the default for most AI tooling), governance is applied as a review step after the model has produced output — often after significant work has accumulated.

The Cost of Governance-Last

Governance-last approaches create compounding problems:

Review burden: when governance applies only at the end, reviewers must evaluate outputs that were produced under unknown constraints. The review cannot assume the outputs followed any particular governance policy.

Invisible constraint violations: a model that produced an output violating a dependency constraint did so under no formal authority boundary. The violation is only discovered when the governance review catches it — or when it reaches production.

Sunk cost pressure: the more work is done before governance review, the more pressure there is to approve outputs that might fail a rigorous governance check. Governance-last workflows create incentive to approve rather than revise.

Governance-first workflows eliminate these problems by ensuring the model operates within a known, governed scope from the start.

What Governance-First Requires

A governance-first workflow requires three things before work begins:

  1. Active Seeds: the operational ground truth is established and loaded
  2. Active Rules: the operational constraints that apply to this session are in force
  3. Active Role: the bounded authority scope for this session is defined

When all three are in place, the model operates within a governed context. Any output it produces is produced within those constraints — not despite them.

Governance as Infrastructure

The key insight of governance-first workflows is that governance is not a gate to pass — it is the infrastructure the work runs on. Just as a CI pipeline is not optional for production code, governed context is not optional for AI-assisted engineering.

Yanzi makes governance-first workflows operationally practical by making context governance composable, deterministic, and low-friction.