Engagement Methodology
SEE → SPOT → RUN
Three phases. No shortcuts. Each phase produces locked deliverables before the next begins. The methodology ensures governance is built structurally, not reactively.
Engagement Methodology
Three phases. No shortcuts. Each phase produces locked deliverables before the next begins. The methodology ensures governance is built structurally, not reactively.
How It Works
Most organizations try to implement AI governance as a policy exercise, write a document, distribute it, hope it sticks. HAA takes a fundamentally different approach: governance is built as architecture, not policy.
The SEE → SPOT → RUN methodology enforces a build sequence. You cannot design governance boundaries (SPOT) until you've mapped where authority currently exists and where it doesn't (SEE). You cannot deploy governance controls (RUN) until the boundary architecture has been designed and stress-tested (SPOT).
This sequencing is not bureaucracy. It's structural integrity. Governance built out of sequence is governance built to fail.
The SEE phase maps the organization's current authority architecture. Where are AI tools being used? Who authorized their deployment? Who is accountable for the decisions they influence? Where are the gaps?
This is not a survey. It's a structural audit of decision authority across every domain where AI touches organizational operations. The output is a complete, documented picture of the organization's AI authority posture.
Entry point: The SEE phase begins with an Executive Briefing, a 30-minute conversation that determines whether the organization's exposure warrants a full assessment.
SEE Phase Artifacts
Maps every decision domain, its current authority owner, and its AI exposure level.
Classifies decisions by authority tier with explicit human/AI boundary rules.
Traces the full accountability path from AI output to human decision-maker.
Documents data movement through AI systems and human review points.
Identifies governance gaps, risk concentration, and remediation priorities.
Leadership-ready synthesis with domain readiness verdicts and repair roadmap.
The SPOT phase designs the boundary architecture. Using the authority map and risk assessment from the SEE phase, SPOT defines exactly where AI operates, where humans decide, and where oversight controls apply.
This is the governance design phase, the structural blueprint that determines how human authority will be preserved as AI capability expands within the organization.
SPOT does not begin until the SEE phase executive readout has been reviewed and accepted by organizational leadership. Designing governance boundaries without a complete authority map is designing blind.
SPOT Phase Artifacts
Identifies where AI capability creates the highest organizational value when properly governed.
The structural design document defining human/AI boundaries across every decision domain.
Defines the oversight controls, review cadences, and escalation rules for AI-assisted operations.
Classifies AI deployment by capability tier with matched governance requirements.
The RUN phase deploys governance into live operations. This is where the authority architecture becomes enforceable, where controls are installed, people are trained, and integrity checkpoints are established to prevent governance drift.
Governance that exists only in documents is not governance. The RUN phase bridges the gap between design and daily operation, ensuring that human authority is structurally maintained, not just documented.
RUN includes ongoing authority integrity checkpoints: scheduled reviews that detect and correct governance drift before it creates organizational exposure.
RUN Phase Artifacts
Step-by-step deployment guide for implementing governance controls across operational domains.
Operational monitoring tool tracking authority integrity across all governed AI systems.
Scheduled governance reviews that detect drift, verify authority ownership, and trigger corrective action.
Role-specific training ensuring every team member understands their authority responsibilities under the governance architecture.