The AiiACo Method
Five-phase operational AI integration protocol. The public method provides a consistent sequence for discovery, architecture, deployment, measurement, and expansion; modules, timelines, and validation requirements vary by engagement.
Phase 1: Find the Friction
Full operational diagnostic. Process mapping, bottleneck identification, coordination audit, and data reliability checks across all departments. AiiACo maps how work actually moves through the organization — not how the org chart says it should.
Phase 2: Strategic Architecture
AI integration architecture designed against measured friction points. Every module mapped to a specific KPI. Governance and compliance embedded from this phase forward.
Phase 3: Deploy the Infrastructure
Workflow automation, CRM reactivation systems, and outreach automation that eliminate the specific friction points identified. AiiACo manages the full deployment stack.
Phase 4: Measure the Improvement
Real-time dashboards, execution speed metrics, and revenue visibility reporting. Every module measured against the KPIs defined in Phase 2.
Phase 5: Expand What Works
Cross-department rollout of proven modules, playbook documentation, and team training. The integration footprint grows based on measured results, not assumptions.
Evidence and capability boundaries
The AiiACo method is demonstrated through requirement discovery, architecture, implementation, testing, correction, adoption, and next-step decisions across three public documentary records.
Evidence mode: documented
Historical, built, operational, partial, validated, closed, next, and future statuses are distinct.
- operating method
- applied records
- negative findings preserved
- outcomes require route-specific evidence
Supporting public records