H·AI·K·U
Human / AI Knowledge Unification
A lifecycle orchestration system for any structured work. Studios, stages, and quality gates — disciplined form, reliable results.
The 4-Phase Lifecycle
Every initiative follows four phases. Each phase has a distinct purpose and produces artifacts that feed the next.
Not Just for Software
H·AI·K·U is domain-agnostic. Studios customize the lifecycle for your field — software, marketing, operations, or anything structured.
Engineering
Compliance
Scope → Assess → Remediate → Document → Certify
Regulatory compliance lifecycle for audits, certifications, and policy management
Data Pipeline
Discovery → Extraction → Transformation → Validation → Deployment
Data engineering lifecycle for ETL pipelines, data warehouses, and analytics workflows
Incident Response
Triage → Investigate → Mitigate → Resolve → Postmortem
Incident response lifecycle from triage through investigation, mitigation, resolution, and postmortem
Migration
Assessment → Mapping → Migrate → Validation → Cutover
System and data migration lifecycle for platform transitions, version upgrades, and data moves
Security Assessment
Reconnaissance → Enumeration → Exploitation → Post Exploitation → Reporting
Security assessment and penetration testing lifecycle for evaluating existing systems
Software
Inception → Design → Product → Development → Operations → Security
Standard software development lifecycle
Go-to-Market
Customer Success
Onboarding → Adoption → Health Check → Expansion → Renewal
Customer success lifecycle from onboarding through adoption, health monitoring, expansion, and renewal
Marketing
Research → Strategy → Content → Launch → Measure
Marketing campaign lifecycle from audience research through launch and measurement
Product Strategy
Discovery → User Research → Prioritization → Roadmap → Stakeholder Review
Product strategy lifecycle from discovery through user research, prioritization, roadmap, and stakeholder alignment
Sales
Research → Qualification → Proposal → Negotiation → Close
Sales lifecycle from prospect research through deal close and handoff
Built on Principles
Stages, not steps
Quality gates that reject non-conforming work, not prescribed procedures. Define what must be true, not how to get there.
Context engineering
Small, focused agents with relevant context outperform comprehensive agents with scattered information. Precision over volume.
Learning loops
Every initiative feeds learnings forward. Teams that use H·AI·K·U get better at using H·AI·K·U. Ad-hoc approaches never compound.
Human oversight at strategic moments
Supervised, observed, or autonomous — choose the right collaboration mode for the work. The human doesn't disappear; the human's function changes.
Latest Updates
All posts →Introducing H·AI·K·U: Why We Rebranded and What Changes
From AI-DLC to H·AI·K·U — a methodology evolution from software-specific lifecycle to domain-agnostic work orchestration.
The Agnostic Builder
When AI handles implementation, the value of a human shifts from domain expertise to systems thinking. The agnostic builder doesn't specialize — they see the whole board.
Design as a First-Class Concern
H·AI·K·U now includes a design direction system and persistent project knowledge layer, making visual design and domain understanding part of the methodology — not an afterthought.