Skedda vs Document360
Side-by-side trajectory, velocity, and editorial themes.
Skedda keeps expanding from desk booking into a full workplace-operations suite
Skedda is broadening beyond space reservations into workplace operations, with a steady cadence of feature releases. Recent work sharpens scheduling logic — day- and time-scoped approval rules and priority booking windows, plus hour-level advance-notice precision — while extending physical-workplace touchpoints through interactive tablet room terminals, booking add-ons, visitor management, and issue reporting. The moves are incremental but consistently additive.
The direction is depth in two areas: more granular control over who can book what and when, and more of the on-site workplace experience (check-in, room terminals, visitors, issues) handled inside Skedda. Booking windows in particular are becoming a flexible policy engine for team priority and utilization. Expect continued buildout of workplace-management surfaces rather than a shift in category.
Next likely additions extend these primitives — more conditions on booking windows and approvals, and pushing the customizable/self-service patterns from Planner-style controls into more areas like visitor and room workflows.
Document360 is rebuilding the knowledge base around AI agents — readable by them and operable through them.
Document360 is a knowledge-base and documentation platform shipping monthly point releases. The recent arc is heavily AI-shaped: an MCP server connects ChatGPT, Claude, and Copilot to the KB, then expands to manage the full content lifecycle — search, create, update, assign reviewers, and publish — from inside an AI assistant. The June release adds auto-generated llms.txt so AI agents can discover and cite docs accurately, plus native Mermaid diagrams. Enterprise plumbing (SCIM, multiple JWT configs, CSP controls) rounds out the cadence.
The product is positioning the knowledge base for the AI-agent era on two fronts: making docs machine-readable and citable (llms.txt, MCP search), and making content operations agent-driven (publish/workflow via MCP). Around that core bet, Document360 keeps hardening multilingual, security, and analytics for enterprise buyers.
Expect continued deepening of the MCP and AI-discoverability surface — more lifecycle actions exposed to assistants and richer agent analytics — alongside the steady enterprise security and localization work.
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