AI implementation for business workflows
Production systems.
Practical articles about production systems, focused on real operating constraints, human review, and measurable outcomes.
Production systems posts
19 posts
Production systems
10 min read
Production AI systems, not demos: the guardrails that matter
Vladimir Siedykh
Production systems
10 min read
Why most AI pilots fail before production
Vladimir Siedykh
Production systems
10 min read
How to avoid vendor lock-in in AI workflow automation
Vladimir Siedykh
Production systems
11 min read
Workflow cost guardrails for AI and API automation at scale
Vladimir Siedykh
Production systems
12 min read
AI risk register for automation: govern, map, measure, manage in practice
Vladimir Siedykh
Production systems
12 min read
SaaS API hardening priorities for B2B enterprise readiness
Vladimir Siedykh
Production systems
12 min read
Internal API security for operations tools: protecting sensitive business flows
Vladimir Siedykh
Production systems
10 min read
SaaS instrumentation strategy: activation, retention, and reliability signals that matter
Vladimir Siedykh
Production systems
12 min read
B2B SaaS access control: role model design and audit trails from day one
Vladimir Siedykh
Production systems
11 min read
SaaS reliability model: SLOs, error budgets, and release gates
Vladimir Siedykh
Production systems
10 min read
AI workflow logging and monitoring: what you need before production
Vladimir Siedykh
Production systems
10 min read
SaaS enterprise security questionnaire readiness playbook
Vladimir Siedykh
Want to apply this to your own workflow?
Send one process from your business.
I will tell you whether it is a good candidate for AI deployment and what the first controlled version could look like.
Best when you can name one repeated process, the tools involved, and where the team loses time.