Founder Profile
Jonathan Major builds production AI systems — and the one-week reviews that decide whether a build is even the right move — under enterprise, security, and regulatory constraints. If your MSP introduced us, this is the person on the CC. We work with them, not around them.
Founder, Agentic Studio Labs · Senior AI Engineer
Jonathan takes on serious builds — AI products, internal systems, and multi-step agent workflows — in environments where getting the architecture or the security boundaries wrong is expensive. What that means for you: the system still holds up after handoff, not just at launch. If you already have an MSP, he works alongside them: they keep the stack, he does the specialist AI work. Direct teams are welcome too.
Recent systems shipped under Agentic Studio Labs include ShellScan (catches security problems in AI agent add-ons before they're deployed) and IngestGate (a quality gate that keeps an AI system's answers grounded instead of confidently wrong). The full build log lives on the technical profile.
The value here isn't generic AI enthusiasm. It's delivery experience, enterprise operating history, and security judgment combined — the mix that makes it easier to trust a one-week review's findings, or a build engagement's outcome, before you've worked together.
Agentic Studio Labs sits at the intersection of AI engineering, enterprise platform delivery, and security-sensitive operating environments.
Builds and deploys AI systems that do real work: agent workflows for multi-step tasks, retrieval that grounds answers in your own data instead of the model's guesswork, evaluation that catches quality regressions before your users do, and the infrastructure that keeps it all running after launch.
Strong on the parts of multi-agent systems that break in production: coordinating agents and the tools they call, plus safe handoff, keeping a human able to step in, and seeing what the system actually did afterward.
Deep experience with the access controls and data boundaries AI systems need around sensitive information, plus the compliance side: SOC 2 and ISO 27001 programs, audit workflows, threat modeling and incident response, and the production controls regulated industries require before sign-off.
Comfortable in environments where deployment quality, integration complexity, and executive credibility matter as much as model choice or demo quality.
The full detail — every shipped system, every engagement — lives on the technical profile. This is the buyer's-eye summary.
Builds production AI systems and one-week written reviews for teams with real workflows, meaningful constraints, and a need for clean technical handoff. Often introduced by the firm's existing IT partner.
Led security and compliance work as a fractional CISO — an outsourced, part-time head of security — across SOC 2 and ISO 27001 audits, privacy, threat modeling, incident response and digital forensics, and operational audit readiness, while also building the applied AI systems and infrastructure underneath it. That same combination is what the Compliance & Privacy Review draws on.
From founding engineering leadership through enterprise platform execution, including engineering, operations, information security, and delivery responsibility in complex data environments.
Built large-scale delivery, testing, and operational systems at BlackRock, Barclays Global Investors, Charles Schwab, and Lotus/IBM.
If you're assessing fit, start with the technical profile or shipped projects. When there's a real system or a question on the table, book the call.