Consulting
AI Governance &
Agentic Systems
Architecture
I build and audit governance infrastructure for teams running AI
agents in production. Working code, not slide decks. Stdlib-only
Python, zero dependencies, battle-tested across a 12-agent fleet.
Multi-Agent Orchestration
AI Governance & Compliance
EU AI Act Readiness
Platform / SRE
Claude / Anthropic
Delegation & Identity
Three engagement models, all backed by production-grade governance
primitives. Start with an assessment, scale to a retainer.
Targeted governance packages for specific regulatory and compliance
needs. Each package includes assessment, implementation, and
documentation.
Governance
Agentic AI Governance
$20–40K
Governance architecture for autonomous AI agents: delegation chains,
identity management, human oversight, and multi-agent coordination
protocols.
- Agent autonomy boundary definition
- Delegation token architecture (HMAC-signed)
- Kill switch and circuit breaker implementation
- Multi-agent coordination governance
- Singapore Agentic AI Framework alignment
Compliance
AI Employment Compliance
$8–15K / state
Bias audit, notice, and impact assessment compliance for AI hiring
tools. Covers NYC LL144, Illinois HB 3773, Colorado AI Act, and EEOC
guidance.
- Technical implementation of bias monitoring controls
- Disparate impact analysis by protected class
- Candidate notice and opt-out procedures
- Documentation and record retention
- Multi-state compliance mapping
Certification
ISO 42001 Readiness
$25–50K
Readiness analysis and control design for an AI Management System
(AIMS). Get fully prepared for formal certification by an accredited
registrar.
- AIMS scope and context definition
- AI risk assessment and treatment process
- Policy suite and procedure documentation
- Internal audit and management review
- Evidence planning and readiness review
Framework
NIST AI RMF Implementation
$15–30K
Implement the four NIST AI RMF functions (Govern, Map, Measure,
Manage) with production-ready governance primitives.
- AI risk governance structure design
- Risk categorization and mapping
- Trustworthiness measurement framework
- Control implementation and monitoring
- Federal procurement alignment
Compliance
EU AI Act Support
$30–60K
Implementation support for Annex III requirements. Prepare technical
documentation, control design, and evidence planning ahead of
notified body assessment.
- Risk classification and scoping
- Technical documentation package
- Quality management system for AI
- Post-market monitoring plan
- Notified body evidence readiness
Sector
Financial AI Governance
$25–50K / jurisdiction
AI model risk management for financial services. Covers SEC
disclosure, UK FCA guidance, and OSFI E-23 requirements.
- AI model risk management framework
- Algorithmic trading oversight
- Consumer outcome testing
- Board-level AI governance structure
- Regulatory disclosure preparation
Strategy
Cross-Framework Mapping
$15–25K
Map your existing governance controls across all applicable
frameworks. Build once, comply everywhere. 70-90% cost savings vs.
separate programs.
- Current-state governance inventory
- Multi-framework gap analysis
- Unified architecture design
- Prioritized implementation roadmap
- ROI quantification and business case
Review
AI Claims & Disclosure Review
$5–10K
Audit AI marketing claims and disclosure practices against FTC
Section 5, SEC requirements, and California AB 2013.
- AI capability claims audit
- Training data disclosure review
- Marketing materials compliance check
- SEC filing AI disclosure preparation
- Remediation recommendations
01
Discovery Call
30-minute call to understand your agent architecture and compliance
needs. Free, no commitment.
02
Scope & Proposal
Written proposal within 48 hours. Fixed price, clear deliverables,
defined timeline.
03
Execute
I work in your codebase or deliver standalone. Daily async updates,
weekly sync calls.
04
Deliver & Handoff
Written report, working code, documentation. Your team owns
everything.
About
Reuben Bowlby
Founding Architect of Founder Mode, an AI orchestration platform
running 12 concurrent Claude terminals with contract-driven cost
governance and agent-first security.
I built HUMMBL's governance stack from scratch: delegation tokens
(HMAC-SHA256 signed), append-only governance bus, compliance mapper
(SOC2 + GDPR + OWASP + EU AI Act), and quality scoring via Arbiter.
All stdlib-only Python, zero third-party runtime dependencies.
Creator of
Base120,
a 780-model library (120 Base120 taxonomy + 660 extended models) for
AI agent reasoning. Published
hummbl-governance
on PyPI.
By the Numbers
Production Evidence