AI agents are joining your workforce.
The first complete framework for managing AI agents across their full lifecycle — from identifying where they create value to onboarding, governing, and exiting them. Built for organizations that need AI to scale without sacrificing integrity, clarity, or oversight.
AiRMS is to AI agents what HR systems are to people.
AI as a Member of the Workforce.
AiRMS gives organizations the structure to identify, recruit, onboard, manage, govern, and offboard AI systems with the same rigour used for human resources — built for the speed and scale of agentic AI.
Built on the operating principle of Systems First. Humanity Intact. Every component is audit-ready, every decision is traceable, and every implementation is anchored to international standards.
Four Pathways. One System.
Each pathway has its own scope, deliverables, timeline, and outcome. Pathways can stand alone or chain together into a complete AI workforce build.
AI Readiness Assessment
Diagnose where your organization stands across governance, infrastructure, talent, data, and risk. Establish the baseline before any investment is made.
- Written readiness report
- AI maturity scorecard
- Risk register
- Prioritized adoption roadmap
"Clarity on what to build first, what to defer, and what to fix before AI can be safely introduced."
AiRMS Adoption Playbook
Take your organization from readiness to deployment. Build your AI House Rules, set up the lifecycle, and onboard your first wave of AI workforce members.
- AI House Rules document
- Lifecycle operating procedures
- Governance pillar configuration
- RACI matrix
- Deployed agents
"A functioning AI workforce operating under defensible governance from day one."
AI Fluency Curriculum
Build human capability to direct AI responsibly. Personalized to each learner using the AI-training-designer skill, anchored to the AiRMS AI Fluency Curriculum Library.
- Personalized session-by-session activity guide
- Self-tracking checklist
- Printable reference card
- Facilitator notes
"Learners leave with a working AI system they built themselves — not a certificate of completion."
AIX Implementation
Build the working AI experience layer inside your organization. Sovereign memory deployment, custom skill creation, agent orchestration, automation, and ROI tracking.
- Sovereign AI memory infrastructure
- Custom skills tied to your workflows
- Multi-agent orchestration
- Automation pipelines
- ROI dashboard
"A measurable, governed AI workforce delivering quantified business outcomes within 90 days."
The Six-Stage AI Lifecycle
| Stage | Name | What Happens | Who Owns It |
|---|---|---|---|
| Identify | Define the role, the scope, and the success criteria for the AI workforce member. | Client + Owning My | |
| Recruit | Evaluate platforms, models, and vendors against the role specification using the RAAKS scorecard. | Owning My | |
| Onboard | Provision access, configure memory, install skills, set guardrails, and brief the agent. | Owning My | |
| Manage | Day-to-day performance, scorecards, drift detection, escalation. Powered by AAMS. | Client (with AAMS) | |
| Govern | Audit, policy enforcement, risk review, compliance evidence. | Client + Owning My | |
| Offboard | Decommission, knowledge transfer, data disposition, and audit trail closure. | Owning My |
Quantifiable. Defensible. Board-Ready.
Every engagement uses the AiRMS ROI Calculator to produce a written business case before work begins. The calculator inputs are role-specific, role-validated, and based on the client's actual operating cost — not industry averages. The output is a board-ready ROI model with sensitivity analysis.
AiRMS is designed to compound. Each lifecycle stage adds a layer to the institutional system. By the end of the first year, clients typically have a fully governed AI workforce, a sovereign memory architecture that has captured a year of organizational learning, and a documented ROI track record that justifies the next wave of investment without re-litigating the business case.
Six Layers. 18 Executable Skills.
Skills span recruitment, onboarding, management, governance, security, lifecycle, and fluency. Every framework in the methodology has a working skill.
- Vector Database— your memory
- Local Inference Engine— your processor
- Workflow Orchestrator— your logic
- Containerization— your environment
- Standard Integration Protocol— the connector
A decoupled AI architecture that is portable — not locked to any AI tool or LLM provider.
Audit-Ready. Governed. Delivered.
Owning My is led by Claudettey Claudette Hutchinson — CEO, strategist, and AI systems architect. The firm builds audit-ready, governed AI solutions for organizations that need AI to work without compromising integrity, clarity, or oversight.
"Executive-ready language. Decisions, not just information. A clear path from intake to deployment. A working system at the end — not a slide deck."
Engagement begins with a 30-minute conversation.
Walk away with a clear understanding of which pathway fits, what the deliverables would look like, what timeline to expect, and what the investment range is. No commitment required.