Arsum Editorial Team writes and reviews practical guides for B2B teams evaluating AI automation, agentic systems, workflow implementation, costs, risks, and build-vs-buy decisions. The editorial process uses research packs, source checks, human review, and periodic updates for high-visibility or fast-changing topics. Editors are responsible for the final page.

Arsum publishes practical guides for founders, operators, growth teams, and technical buyers evaluating AI automation, AI agents, SEO automation, app development, and related implementation decisions. Editorial Standards Each article should help a reader make a clearer business or implementation decision. Articles should avoid unsupported revenue, ROI, benchmark, customer, or compliance claims. When a page includes market data, tool claims, legal/compliance context, pricing, or implementation guidance, the article should link to the source material used for that claim. ...

Johnny Kartakov leads Arsum’s work on AI automation systems, implementation strategy, and workflow design for founders, operators, and growth teams. His writing focuses on practical automation decisions: what to automate, what to keep under human review, how to scope the first production workflow, and how to connect AI systems to measurable business outcomes. Arsum articles under Johnny’s byline should be reviewed against the editorial policy for source quality, unsupported claims, implementation risk, and buyer usefulness before publication. ...