Process AI vs Scribe

Process AI is the AI layer inside Process Street, a productivity platform where teams run recurring checklists, approvals, and compliance procedures. You describe what you need or upload a document, and the AI Workflow Generator builds a workflow with due dates, assignments, approvals, stop tasks, and variables in seconds instead of hours of manual setup.

Most workflow builders still expect you to wire every branch with if-this-then-that rules. Process AI compresses those rules into prompts and AI tasks that read uploaded documents, run formulas, draft emails, and pass data between steps. The trade-off is you are buying into Process Street's ecosystem: the AI runs inside their workflows, not as a standalone coding assistant.

Operations, HR, finance, and compliance teams at companies like Salesforce and Colliers use Process AI to generate workflows from documents, automate routine task instructions, and keep audit trails on recurring processes. Integrations include Slack, Trello, Zapier, Microsoft Teams, and Tray.io.

Scribe captures how work actually gets done and turns it into step-by-step guides your team and AI agents can follow. It records workflows as people perform them in the browser, desktop, or mobile apps, then generates documentation without manual screenshots or write-ups. Teams use it for SOPs, training, onboarding, and feeding workflow context to AI tools.

Where most documentation tools expect you to write guides from memory or schedule walkthroughs, Scribe watches real workflows and documents them automatically. Capture surfaces the processes teams run most often and turns them into shareable guides, while Optimize maps inefficiencies across approved apps and recommends where to automate or invest in AI.

Operations, IT, HR, and enablement teams rely on Scribe to share tribal knowledge before someone goes on PTO. Companies rolling out new software or building AI agent roadmaps use it to give bots accurate workflow context through MCP and enterprise search APIs.