2026

Learn when a tiger team is justified, how to set outcome and guardrail metrics, run evidence-led tests, and hand work back responsibly.

AI projects stall when nobody owns the workflow after the demo. Learn how to assign decision rights, bound AI tasks, validate outputs, and control write-back.

Make’s STATION F office is a support initiative, not a promised integration. Learn what it offers and how to scope a safe first automation.

Compare chatbots, fixed AI workflows and agents by who chooses the next step, what systems they can change, and which controls make action safe.

Choose RPA for stable rules, AI for bounded interpretation, and a hybrid when both are needed, with validation, idempotency, and safe write-back controls.

A practical guide to designing bounded LLM-agent workflows with field contracts, validation, human review, safe retries, deduplication, and measured rollout.

Design automated time tracking around what each source proves, validate duration and mappings, and route ambiguous events to review before billing or payroll.

Learn what hyperautomation means and how to design reliable cross-system workflows with rules, RPA, AI, validation, deduplication, ownership, and measurable pilots.

Learn where human review belongs, how to bind approval to a record version, and how to resume workflows without duplicate actions or unmanaged queues.

Learn when to use rules or an agent, then design a Make support-triage workflow with structured output, validation, human review, and duplicate protection.