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Meridian — enterprise knowledge search Competes for larger accounts that want broad search across internal tools. Strong fit for central IT-led rollouts. Arc positions around a focused team pilot, a simpler rollout, and useful answers tied to the task at hand. Haven ML — internal AI assistants Competes when teams want configurable assistants built around their documents. Arc emphasises shared context, visible sources, and a consistent experience across departments instead of maintaining a collection of separate assistants. Tandem AI — workflow automation Competes for operations budgets where the priority is automating repetitive tasks. Arc leads with finding and understanding the right information before taking action; automation follows once the knowledge is trustworthy. Vellum — collaborative knowledge workspace Competes when buyers are considering a new home for their internal documentation. Arc works with the information teams already have and reduces the need for a large content migration. The status quo Slack search, shared drives, internal wikis, and asking a colleague are our most common alternatives. They are familiar and already paid for, so we need to demonstrate a clear time saving during the pilot. How we win • A useful first answer during the initial setup session. • Clear source links and permission-aware results. • A practical pilot with measurable success criteria. • An approachable product that team leads can roll out with IT support. Discovery questions Where do people look for answers today? Which questions get asked repeatedly? What has stopped previous knowledge initiatives from sticking? Who needs to trust the answers before the team will adopt a new tool?