HAP

Human Awareness Partnership

Method

A phased adoption model built for trust before scale.

The HAP method is deliberately structured to prevent the most common failure mode in AI adoption: implementing too much, too soon, with too little operational discipline.

01

Intake and triage

Clarify the real problem, the sensitivity level, and what a useful 30-day outcome would look like.

02

Readiness and constraint audit

Map maturity, tolerance for change, privacy boundaries, and where workflow friction is actually accumulating.

03

Architecture design

Choose one or two leverage points, define the action model, and set success measures before rollout.

04

Pilot implementation

Install narrowly, train the human system around it, and revise based on actual use.

05

Scale and governance

Expand only after the first win holds, with documentation, review cadence, and approval norms in place.