Levity vs Scribe

Levity automates logistics email work that still runs through Outlook and Gmail inboxes. Freight teams connect millions of messages, classify track-and-trace, booking, quoting, and customs threads, then deploy production workflows that draft replies, extract shipment data, and push updates into TMS tools like Cargowise, Turvo, SAP, and Zendesk.

Generic automation builders treat email like a trigger. Levity maps Analyze, Build, and Scale as one loop: analytics surfaces repetitive request patterns, a visual flow editor turns them into guarded AI actions, and quality control queues human corrections before automations spread. That structure matters when a misread POD attachment can delay billing on a $3 billion freight account.

Carriers such as Gebrüder Weiss report cutting manual email work in half while keeping operators in the loop. Levity targets enterprise logistics teams processing high inbox volume and sells through demos rather than self-serve checkout.

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.