The Complete Guide to Agentic Workflow Automation
What separates agentic workflows from conventional automation — and how to architect processes that coordinate humans and AI as equal participants.
Blog
Guides, technical deep-dives, and product thinking from the Blocks team.
What separates agentic workflows from conventional automation — and how to architect processes that coordinate humans and AI as equal participants.
The case for keeping humans in automated processes — and how to design handoff moments that preserve context and accountability.
A walkthrough of the Blocks canvas — how operations teams design multi-step processes with conditional branching, no engineering involvement required.
How to route tasks to LLM providers inside multi-step workflows — structured outputs, temperature control, and keeping sensitive steps on private models.
Designing confidence thresholds, SLA timers, and fallback routing in AI-assisted approval chains.
Where multi-step business processes break down — and what the common patterns look like across growing SaaS companies.
How to route different workflow steps to different LLM providers based on task complexity, sensitivity, and cost constraints.
How Blocks delivers workflow tasks to human approvers in Slack and Teams — one-click approve/reject without leaving the messaging tool.
A real workflow pattern: new deal in Salesforce triggers a legal review task in Jira, routes to a human approver, then closes the loop back in CRM.
The decisions and wrong turns behind the Blocks architecture — and what operations teams keep telling us they actually needed from a workflow platform.
The compliance and accountability case for capturing every human decision and AI output in a persistent, reviewable workflow history.