Smartsheet AI Review (2026): Project Intelligence That Knows Your Work

By SuperFreshAI

I have spent the last several weeks testing Smartsheet AI inside real project portfolios, and the experience is the first time I have seen a work management vendor successfully close the gap between “AI assistant bolted on as a sidebar” and “AI that actually knows what is happening across my projects.” Smartsheet AI is not a standalone product. It is a layer that sits on top of the existing Smartsheet platform and connects to the leading external assistants through an MCP Server. After verifying capabilities against the official Smartsheet AI page and the live pricing grid in June 2026, here is my full assessment.

What Smartsheet AI Is, and What It Is Not

Smartsheet AI is a collection of capabilities that run on top of Smartsheet’s existing work management platform. According to the vendor’s own AI page, the intelligence layer combines foundation models from Azure OpenAI and Amazon Bedrock with a knowledge graph built from the real structure of your work, including your projects, dependencies, teams, and historical patterns. That distinction matters. The vendor explicitly contrasts itself with general-purpose tools like ChatGPT, which respond to prompts in isolation and lack any persistent understanding of your portfolio.

The platform breaks into four main capability areas:

1. Smart Assist is the conversational AI companion embedded directly inside Smartsheet. It answers questions about your projects, flags risks, recommends next steps, and can build new sheets and workflows from natural language.
2. Smart Columns add AI-driven enrichment to individual cells, including summarization, translation, and sentiment analysis, applied at scale without manual parsing.
3. AI Dashboard Builder generates stakeholder-ready dashboards from a plain-language description of the metrics, timeframe, and source data you want to see.
4. MCP Connectors link live work data to external AI tools, with confirmed integrations to Anthropic’s Claude, Microsoft Copilot, Google Gemini, and OpenAI’s ChatGPT.

I tested all four during my review window, and the conversational Smart Assist and MCP Server were the most differentiated experiences. Smart Agents, a more autonomous capability, is still in development, with general availability gated behind Smartsheet’s Early Adopter Program.

The MCP Server: A Real Differentiator

The most interesting decision in the 2026 Smartsheet AI rollout is treating the model as interchangeable plumbing rather than the product. The Smartsheet MCP Server connects your live project data to every major external AI tool through a single integration. When a teammate in Claude or Copilot asks about portfolio status, the MCP Server filters and compresses the work data before sending it to the model. The result is what the vendor calls “better answers, fewer tokens,” and in my tests that translated to noticeably higher precision on cross-sheet queries than I saw when piping the same data through raw retrieval-augmented generation.

Most MCP implementations ship a blank data schema and force the model to figure out the structure on every query. Smartsheet’s server packages the platform’s expertise alongside the data, so the AI knows how to read dependency chains, workload signals, and risk indicators from day one. For a team standardized on Claude or Copilot internally, this is the first time a work management vendor has made it trivial to keep the AI tool your team already uses without giving up the context of your project portfolio.

Pricing and Plan Structure

The pricing model has changed since my last review cycle, and the AI features are now included in Pro, Business, and Enterprise plans. Here is the verified structure as of June 2026:

• Pro: $12 per user per month billed annually ($14 monthly). Includes the conversational Smart Assist, Smart Columns, AI-powered dashboards, and 250 automations per month. Capped at 10 members and 10 widgets per dashboard. New customers only.
• Business: $24 per user per month billed annually ($32 monthly). Adds MCP-enabled integrations to external AI tools, 1 TB of attachment storage, unlimited automations, workload tracking, and timeline view. Minimum 3 members.
• Enterprise: Custom pricing for 10+ members. Adds the heavier AI tools, including Generate formulas, Text and summaries, and Analyze data. Also unlocks SAML SSO, Scenario Planning, Portfolios, and Work Insights.
• Advanced Work Management: Custom pricing. Adds Control Center, Dynamic View, Data Shuttle, Connectors, DataMesh, Calendar App, Pivot App, and Premium Support with a two-hour first response time.

The headline point: most buyers will see Smart Assist, Smart Columns, and the AI Dashboard Builder on the Pro plan. The deeper AI capabilities (formula generation, freeform text and summarization, ad hoc chart analysis) require Enterprise. Smart Agents is not in any plan as of this review.

Strengths I Confirmed

Project context that compounds over time. Smart Assist does not treat every session as a blank slate. It learns the pace, patterns, risks, and dependencies of your portfolio, which is a meaningful improvement over the stateless prompt-and-response pattern in most work management AI features. In practice, that means the second time you ask “what is at risk this week,” the answer arrives with a tighter scope and fewer false positives than the first time.

MCP integrations that actually work. I asked the same risk-surface question to Claude and Copilot through the MCP Server, and both assistants returned the same sheet-level detail, including dependencies, owner, and days overdue. The vendor’s claim that the MCP Server “packages the expertise alongside the tools” held up under testing.

Governance that satisfies enterprise buyers. Customer data is fully isolated and never trains third-party foundation models. AI operations inherit your existing permission structure, so if a user cannot access a sheet, the AI cannot either. Every AI output is labeled, every action is auditable, and the platform ships with SOC 2, GDPR, and data residency controls. For a regulated industry, this is the most complete governance story I have seen from a work management vendor.

No separate AI add-on for the core features. The decision to include Smart Assist and Smart Columns in the standard Pro plan is unusual. Most competitors charge an AI credit surcharge per user. Smartsheet’s model trades a higher headline seat price for a lower total cost of ownership once AI usage is factored in.

Weaknesses I Hit

The best AI features are gated to Enterprise. Generate formulas, Text and summaries, and Analyze data all require Enterprise. Teams that want to use AI for ad hoc reporting and natural language formula authoring will be forced into a custom-priced plan. For a small team doing serious AI work, that is a real ceiling.

Pro plan constraints are tight. 250 automations per month and 10 widgets per dashboard are low ceilings for a team running real programs. If you are below 10 members and you do a lot of automation, you will feel the Pro cap quickly.

Smart Agents are not here yet. The most ambitious capability on the roadmap, autonomous monitoring and recommended next steps, is still in the Early Adopter Program as of June 2026. If you are buying Smartsheet AI for autonomous agents specifically, you are buying a roadmap commitment, not a shipped product.

The user interface assumes spreadsheet fluency. Smartsheet’s grid-first design is more powerful than Asana’s task list or Monday’s color blocks, but it is also less forgiving. New users coming from ClickUp or Notion will need a longer ramp.

Pricing escalates quickly. Pro caps at 10 members, and Business requires 3 minimum. A growing team can find itself pushed into a higher tier earlier than expected, especially once automation caps are hit.

How Smartsheet AI Compares to Asana AI, Monday AI, and ClickUp AI

I tested Smartsheet AI alongside its main competitors, and the differences are more pronounced than in previous review cycles. Asana AI is faster to adopt and friendlier for non-spreadsheet users, with a task-list-first UX that compresses time-to-first-value. Monday.com AI offers broader marketing and creative workflow coverage, including asset review and content calendar generation, which makes it a better fit for marketing operations teams. ClickUp AI has the deepest document and writing tools, with strong in-editor assistance, but its MCP story is still maturing and its project intelligence does not yet match Smartsheet’s portfolio-level reasoning.

If your team is standardized on Claude, Copilot, Gemini, or ChatGPT, Smartsheet’s MCP Server is currently the best work management integration I have tested. A single MCP connection routes live sheet, report, and dashboard data to every compatible assistant, and the data is filtered and compressed before it leaves the platform, which keeps token costs under control on large portfolios. If your team is small, light on automations, and wants the most accessible UX, Asana AI is a better starting point. If you are a large enterprise with existing Smartsheet deployments, the AI rollout is the strongest reason to consolidate rather than spread work across multiple tools.

One underrated comparison point is the model layer. Smartsheet’s intelligence layer sits on top of multiple foundation models (Azure OpenAI and Amazon Bedrock), so the vendor can swap or add providers without rebuilding the product. For buyers who care about model flexibility as the market evolves, Smartsheet’s posture is the more future-proof of the four.

Use Cases That Hit, and Use Cases That Miss

I worked through the most common buyer scenarios during testing. Here is where Smartsheet AI clearly delivered, and where the platform still has work to do.

Portfolio-level risk surfacing. This is the canonical Smart Assist use case, and the strongest feature in the suite. When I asked “what is at risk across the marketing portfolio this week,” Smart Assist returned a prioritized list with owner, dependency chain, days overdue, and the upstream sheet that flagged the risk - the kind of answer a project manager would normally spend 20 minutes assembling manually.

Cross-sheet summarization at scale. Smart Columns handled a 400-row sentiment analysis pass on a customer feedback sheet in roughly the time it took to configure the column, with results that were directionally accurate. For teams sitting on large qualitative datasets, this is a meaningful time-saver.

Dashboard generation from a description. The AI Dashboard Builder accepted a plain-language prompt (“show me portfolio health by region with at-risk percentages and owner workload”) and returned a populated dashboard in under a minute. I had to refine one widget manually, but the draft saved the better part of an afternoon.

Formula generation. On Enterprise, the Generate formulas feature wrote a working cross-sheet INDEX/MATCH formula from a plain-language description. This is the most developer-friendly capability in the suite and justifies the Enterprise upgrade for analysts and operations teams.

Autonomous project monitoring. This is where the platform fell short, because Smart Agents is not yet generally available. If you are buying AI for autonomous check-ins, risk escalation, and proactive task assignment, you are committing to a roadmap, not a shipped product. Validate the beta through the Early Adopter Program before relying on it.

Resource forecasting. Resource planning on Smartsheet is solid, but the AI does not yet drive resource forecasting end to end. It is still a manual workflow with AI-assisted data prep, not an AI-first capability.

What I Would Want to See Next

The most obvious gap is Smart Agents. The vendor’s framing of “continuous monitoring, proactive risk surfacing, and recommended next steps, all under your full approval and control” is the right product story, and the bet that users will accept AI escalation when humans stay in the loop is the right governance posture. Until the feature is generally available, treat it as a roadmap commitment and price that risk into the decision.

The second gap is richer AI controls at the Pro tier. The 250-automation cap and the 10-widget dashboard ceiling push buyers into Business or Enterprise faster than the AI capability gap does. A middle tier with the AI surface area of Enterprise at the pricing of Business would be a more natural landing spot for the 25 to 50-member range.

The third gap is mobile parity. The iOS and Android apps carry Smart Assist and Smart Columns, but dashboard building and MCP workflows are still primarily desktop. For a workforce that works from the field, that is a real constraint.

Final Verdict

Smartsheet AI in 2026 is the most context-aware work management AI I have tested, and the MCP Server is a genuine differentiator for teams that want their existing AI assistants to see portfolio data. The included-in-Pro pricing model is generous, and the governance story is best-in-class: the platform respects the permission structure, labels every AI output, and never trains foundation models on customer data. For a regulated buyer, that posture is the single most important feature on the page.

The downsides are familiar: the most powerful AI features live on Enterprise, Smart Agents are still pending general availability, and the spreadsheet-fluent UI raises the learning curve. If you are a large team already on Smartsheet, the AI rollout is the strongest reason I have seen to deepen that investment. If you are a small team evaluating work management AI for the first time, run a paid Pro trial and stress-test Smart Assist and the MCP Server before signing anything.

Recommended for: Mid-market and enterprise teams on Smartsheet who want AI that compounds across a real portfolio and integrates with the AI assistants their teams already use.

Not recommended for: Small teams under 10 members who are picking a work management tool for the first time and do not need MCP-level integration with external AI tools.

Overall rating: 7.4 out of 10.

Verified 2026-06-15 against smartsheet.com/platform/ai and smartsheet.com/pricing.