- AI governance and evaluation
I translate governance questions into concrete evaluation criteria, bounded workflows, decision records, and explicit limitations rather than treating governance as abstract policy. Evidence: Demonstrated through the public AI Governance Benchmarks, Agent Action Audit Template, Human-AI Governance Lab, and current ResoVerse research direction.
- Evaluation design and test protocols
I define what a system should be tested against, create structured cases and pass criteria, and preserve enough evidence for another person to inspect the result. Evidence: Public examples include clean-room synthetic cases, deterministic scoring, reproducible reports, validation checks, tests, and continuous integration.
- Human-in-the-loop workflows
I design workflows that distinguish what a system may prepare from what requires a human decision, especially before consequential or external actions. Evidence: Demonstrated through approval gates, human-review states, blocked-action examples, escalation paths, and reconstructable decision records in public governance artifacts.
- AI risk, escalation, and approval design
I break ambiguous AI risks into observable conditions, decision boundaries, escalation triggers, and approval requirements that teams can actually follow. Evidence: Demonstrated through risk classifications, bounded delegation patterns, agent-action receipts, explicit authority limits, and review-before-action controls.
- Responsible AI implementation
I connect responsible-AI principles to practical implementation through inspectable prototypes, documented safeguards, testing, and honest evidence boundaries. Evidence: Current work combines prototype direction, governance testing, structured research, documentation, human oversight, and explicit non-certification language.
- Program and workstream delivery
I turn broad objectives into coordinated workstreams with owners, requirements, schedules, risks, decisions, and operational follow-through. Evidence: Across 15+ years, I have led a 55,000-square-foot headquarters initiative, regional workplace programs, office expansions, technology implementations, and venture-development work.
- Business analysis and requirements
I gather needs from different stakeholders, clarify constraints and priorities, and translate them into processes, systems, implementation decisions, and acceptance criteria. Evidence: Examples include headquarters planning, Salesforce workflows, the Tenant Pro-to-AppFolio transition, workplace platforms, and current AI prototype requirements.
- Technology implementation support
I support technology change from requirements and vendor coordination through configuration, testing, documentation, training, launch, and adoption. Evidence: Experience includes Salesforce, AppFolio, SharePoint, Egencia, Envoy, online-payment systems, cloud collaboration, and AI-assisted research and prototype workflows.
- Process mapping and improvement
I examine how information and decisions move through a system, identify friction or ambiguity, and redesign the workflow so responsibilities and outcomes are clearer. Evidence: Demonstrated through property-management modernization, operational standardization, digital workflows, onboarding systems, approval flows, and governed AI action patterns.
- Testing and documentation
I pair implementation with structured testing and documentation so that decisions, expected behavior, limitations, and operating procedures remain understandable. Evidence: Outputs include test protocols, validation checks, policies, playbooks, management reports, training materials, technical documentation, and public evidence notes.
- Change management and training
I help people adopt new systems by connecting the reason for change to clear procedures, practical training, usable documentation, and post-launch support. Evidence: Demonstrated through Salesforce and SharePoint training, workplace-platform adoption, policy rollouts, onboarding processes, management communication, and operational transitions.
- Vendor and budget management
I manage vendors and budgets as delivery systems: defining expectations, coordinating dependencies, tracking risks and costs, and escalating issues before they compromise outcomes. Evidence: Managed multimillion-dollar budgets, vendor portfolios, contracts, office projects, technology providers, facilities services, and regional operational programs.
- Executive communication
I convert complex operational, technical, and governance information into clear decisions, tradeoffs, recommendations, and next actions for leaders and cross-functional teams. Evidence: Demonstrated through executive updates, steering-committee work, policies, presentations, management reports, research synthesis, pitch refinement, and decision-ready documentation.