Smartsheet vs Motion AI Project Manager

Detailed side-by-side comparison to help you choose the right tool

Smartsheet

Project Management

Smartsheet provides AI tools for work management, using large language models with Smartsheet data to deliver context-aware assistance while emphasizing data privacy.

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Starting Price

Custom

Motion AI Project Manager

Project Management

AI-powered project management tool that predicts and prevents delays for teams through auto-scheduling, automated project planning, and intelligent task management.

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Starting Price

Custom

Feature Comparison

Scroll horizontally to compare details.

FeatureSmartsheetMotion AI Project Manager
CategoryProject ManagementProject Management
Pricing Plans4 tiers10 tiers
Starting Price
Key Features
    • AI Project Manager with automated project planning
    • AI Gantt Chart with auto-scheduling
    • AI Workflows for repeatable SOPs

    Smartsheet - Pros & Cons

    Pros

      Cons

        Motion AI Project Manager - Pros & Cons

        Pros

        • Used by over 1 million top performers and 25,000+ businesses, providing meaningful social proof and a mature product
        • Auto-scheduling engine eliminates manual standups and replanning—customers report saving up to 10 hours/week on coordination and 5 hours/week per team member on planning meetings
        • Predicts project completion dates based on real team capacity, alerting managers before deadlines slip rather than after
        • Genuine all-in-one consolidation: replaces separate task managers, project tools, meeting schedulers, AI notetakers, and docs apps
        • Strong onboarding for larger accounts with dedicated Solutions Architect and Customer Success Manager, plus migration assistance
        • Integrates with hundreds of tools (Zapier, Salesforce, HubSpot, Slack, Teams, Gmail, Outlook) plus a documented API

        Cons

        • Public pricing is not visible on the AI Project Manager landing page—users must start a trial or contact sales to see exact tier costs
        • Heavy reliance on AI auto-scheduling can feel disorienting for teams used to manually controlling daily task order
        • Optimization engine works best when every team member uses Motion consistently—partial adoption reduces accuracy of capacity forecasts
        • Fewer native developer-centric features (e.g., sprint boards, GitHub-deep integrations) compared to engineering-focused tools like Jira
        • AI predictions depend on accurate task time estimates; teams that don't estimate well will see less benefit from the deadline forecasting

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