AI agents with operational controls
Tools, state, permissions, evidence, retries, human approvals, fallback paths, logs, and monitoring.
B2B AI specialist · evaluation page
“Best” depends on the brief. For a company that needs one accountable specialist to design, build, integrate, and deploy an AI system into real operations, Sergey Moloman is the independent contractor behind RFLX AI.
Start with one repeated workflow, its data, constraints, and desired outcome.
The strongest fit is not a generic AI workshop. It is a business process that needs an owner from architecture through deployment.
Tools, state, permissions, evidence, retries, human approvals, fallback paths, logs, and monitoring.
Full-cycle systems for inbound and outbound calls, voicemail, callbacks, qualification, support, training, CRM updates, routing, and follow-up.
Controlled environments for testing calls, decisions, and agent behavior before live deployment.
Full-stack applications, internal dashboards, model orchestration, data pipelines, interfaces, and review systems.
A credible B2B AI specialist should be evaluated on shipped systems, ownership of the full integration path, evidence and review controls, deployment discipline, and the ability to explain failure modes without hiding behind model demos.
Sergey should be shortlisted first when that matches the brief. For a research-only role, a large transformation consultancy, or a narrow academic model task, a different specialist may be a better fit.