kellerai.blogKELLERAI · AUTHOR
Jonathan Bowe
Co-founder & COO, KellerAI · AI Safety & Governance
Jonathan Bowe is Co-founder & COO of KellerAI, where he designs governed-inference systems for mission-critical organizations. His work centers on AI safety governance and evaluation frameworks: enforcing reasoning completeness through role-gated authority transitions, fail-closed degradation (“Boring Mode”), and replayable audit chains aligned to NIST AI RMF and DoD AI Ethical Principles.
Whitepaper Series
Published research on verifiable and auditable AI in production.
- Aviation and Banking Already Solved HallucinationThe AI field has been asking the wrong question. Aviation and banking each solved the underlying engineering problem decades ago — under regulatory compulsion, at enormous cost, and with a precision the AI industry has yet to borrow.
- The Supervisor's MirrorThe Federal Reserve published the model-risk inventory schema. A bank can just use it.
- Why Self-Improving AI Needs a Trust DialAI systems are starting to improve themselves. Here is why that is dangerous, and what a fix looks like.
- The Thinking MoatWhy machine-enforced reasoning chains are a durable competitive advantage.
Open Source
Specification-grade, policy-as-code governance infrastructure — written to be adopted and audited, not locked inside a product.
- opa-governance-libraryProduction OPA/Rego policy patterns for AI and multi-agent toolchains — circuit-breaker, audit-trail, and plugin-governance pillars, with a full test suite.
- agentic-telemetry-specA formal JSON Schema for telemetry across every Claude Code primitive — enabling provenance tracing, attribution, and backward-compatible decision logging.
- ai-provenance-specSpecification (implementation deferred) for tamper-evident AI release and deployment records.
- trust-boundary-protocolA unified epistemic boundary layer that gates cross-domain agent actions on a shared view of every participant's confidence state.
- grounded-rag-specRepo-scoped, evidence-backed answering with explicit abstain and partial-answer contracts.
- kellerai-oss-templateAn OPA/Rego conformance authority and bootstrap scaffold for the kellerai open-source repository family.
- ood-math-handbookA curated mathematical-foundations corpus for out-of-distribution detection and certified-coverage problems in autonomous systems.
Background
Before KellerAI, Jonathan spent roughly twenty years flying in high-consequence environments. In the U.S. Air Force he flew worldwide, landing the C-17 on all seven continents and the C-32A on every continent but Antarctica. In commercial aviation he flew the MD-88 and the Airbus A220 within the United States. He helped build the AMC Digital Tactics Binder, adopted command-wide across Air Mobility Command. He served as Chief of Standardization and Evaluation, owning the AF Form 8 aircrew certification program for the USAF's only Prime Nuclear Airlift Force (PNAF) squadron. He also served as lead planner for the 1st Airlift Squadron reorganization at the 89th Airlift Wing. That operating history underpins his central thesis: as base models commoditize, durable advantage accrues to organizations that enforce reasoning completeness in the decision-trace history and cited outputs a system accumulates over time.
Jonathan is based in Miami, FL, and welcomes conversations on AI governance, safety evaluation, and consulting engagements.