Plane vs Smartsheet
Detailed side-by-side comparison to help you choose the right tool
Plane
Project Management
AI-native project management platform that combines projects, documentation, and AI-powered workflows in one unified workspace for teams and agents to plan, execute, and stay aligned.
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CustomSmartsheet
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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CustomFeature Comparison
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Plane - Pros & Cons
Pros
- ✓Two Fortune 10 companies selected Plane for Jira migration, validating enterprise readiness at massive scale (50 to 10,000+ users)
- ✓Only modern project management platform built from the ground up for self-hosted, on-prem, and air-gapped environments with Prime CLI tooling
- ✓Plane AI reads across the entire workspace—projects, cycles, docs, and threads—delivering context-aware answers rather than generic LLM responses
- ✓Native MCP server and agent framework with @mention support and full Agent Run lifecycle tracking, a rare offering among 870+ AI tools in our directory
- ✓Certified across four compliance standards (SOC 2, ISO 27001, GDPR, CCPA) out of the box with independent auditing and continuous monitoring
- ✓Plane Compose enables projects-as-code in YAML, versioned in Git and deployed from the terminal—unique among mainstream PM tools
Cons
- ✗Desk (customer support product) is still marked 'coming soon', limiting the unified workspace promise for support-heavy teams
- ✗Microsoft Teams integration is listed as coming soon, so Teams-first organizations cannot yet use the AGI-like chat workflow
- ✗Enterprise tier requires a sales conversation for pricing, though Free, Pro, and Business tiers are publicly listed
- ✗Self-hosting requires managing Postgres, Redis, and S3-compatible storage, adding DevOps overhead compared to pure SaaS competitors
- ✗Being AI-native and comparatively newer than Jira or Asana, some niche third-party plugins and community templates may not yet exist
Smartsheet - Pros & Cons
Pros
- ✓AI capabilities are tied directly to Smartsheet work data, which makes them more useful for project plans, trackers, portfolio sheets, dashboards, and operational workflows than a disconnected chatbot.
- ✓The website states that data submitted to Smartsheet AI tools is not used to train the company’s LLM providers’ models, which is an important privacy point for enterprise teams.
- ✓Generally available AI tools cover four practical work-management tasks listed on the site: Analyze data, Generate formulas, Text and summaries, and Suggested descriptions in Brandfolder.
- ✓AI is part of a broader platform that also includes automation, dashboards and reporting, resource planning, portfolio management, integrations, secure request management, and no-code work apps.
- ✓Smartsheet supports both Trial users and enterprise plans for its generally available AI tools, giving evaluators a way to test AI workflows before a broader rollout.
- ✓The company presents enterprise credibility signals on the supplied page, including a customer service number (+1-844-324-2360), Bellevue headquarters address, and a 3x Leader position in the 2025 Gartner Magic Quadrant for Collaborative Work Management.
Cons
- ✗The supplied AI page does not show exact pricing for AI access, so buyers cannot determine from the page alone whether AI is included in every paid plan or requires a specific package.
- ✗AI availability is described for Trial users and enterprise plans, which may leave smaller paid-plan customers needing to confirm whether the generally available AI tools are included.
- ✗The website content lists high-level AI capabilities but does not provide detailed examples of supported prompts, limits, model choices, or administrative controls on the scraped page.
- ✗Teams that do not already organize work in Smartsheet may need setup time before AI analysis and formula generation can deliver strong results from structured sheet data.
- ✗The AI feature set described is focused on work management tasks, not broad-purpose AI coding, image generation, meeting transcription, or autonomous agent workflows.
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