Smartsheet Smart Agents 2026: What Intelligent Work Management Actually Means for Enterprise Teams
Smartsheet’s pivot to “Intelligent Work Management” in 2026 is the most enterprise-specific AI bet in the work management category — which makes sense given its customer base. While Monday.com is chasing the SMB-to-mid-market segment with its AI work platform relaunch, Smartsheet is targeting the enterprise organizations running complex, multi-stakeholder programs where the risk of AI getting something wrong is measured in contract penalties, not inconvenience.
The Smart Agent suite — Smart Assist, Smart Flows, Smart Columns, and the Project Manager Smart Agent — represents Smartsheet’s answer to a specific enterprise problem: how do you apply AI to work management when the work involves sensitive data, regulatory requirements, strict governance, and consequences for errors that go beyond “undo the last action”?
Smart Agents: Digital Coworkers With Domain Knowledge
Smartsheet’s framing of Smart Agents as “digital coworkers” is more technically specific than it sounds. The distinction they’re drawing is between general-purpose AI assistants (which can answer questions and generate content but don’t have operational context about your specific workflows) and agents with “deep line-of-work knowledge” — meaning they understand the structure of Smartsheet sheets, the relationships between rows, the meaning of specific column types, and the workflow logic embedded in automations.
The first production Smart Agent is the Project Manager Agent, and its capabilities reflect this domain-specific design. It doesn’t just monitor task completion — it monitors progress relative to plan, identifies the specific rows in your sheets where schedule risks are emerging, and surfaces those risks in the context of their downstream dependencies. The output isn’t a generic “some tasks are late” summary — it’s a prioritized list of interventions with context about why each one matters and what the knock-on effects of inaction are.
For program managers running portfolios with 200+ active tasks across multiple sheets, this is the difference between spending Monday morning reviewing every sheet manually and spending Monday morning acting on a pre-triaged list of the ten things that actually need attention.
Smart Flows: Natural Language Automation Without the Logic Tree
Smartsheet’s existing automation capabilities are powerful but verbose. Building a complex multi-condition workflow — trigger on this column change, check this other condition, branch to one of three actions, send notifications to different people based on the branch — requires navigating an automation builder that is functional but demands significant time investment to configure correctly.
Smart Flows replaces that configuration UI with natural language. You describe the workflow you want, Smart Flows interprets the intent, and generates the automation logic. The practical result for teams: automations that previously required a Smartsheet power user or admin to build can now be initiated by any team member who can articulate what they want to happen.
The concern worth flagging: natural language automation generation is only as reliable as the underlying intent interpretation. For simple automations (“when this row is marked complete, send a notification to the project manager”), the translation is straightforward. For complex conditional logic (“when a risk item changes to high priority AND the assigned owner hasn’t updated the row in five days AND the project phase is not ‘planning’”), the risk of the AI misinterpreting the intent increases. Smart Flows is best for medium-complexity automations — a step up from simple notifications, a step below complex business logic that requires exact conditional precision.
Smart Columns: AI-Powered Data Intelligence at the Cell Level
Smart Columns are Smartsheet’s most operationally distinctive AI feature — and the one most likely to change day-to-day work for data-heavy users. Traditional columns in Smartsheet hold data that someone enters. Smart Columns hold data that AI generates, based on analysis of other columns in the sheet.
The core use cases: categorizing text entries automatically (a risk description column generates a category column — technical risk, commercial risk, regulatory risk — without manual tagging), summarizing long text into a status field, translating content for multilingual teams, and scoring or assessing items against defined criteria. Each of these is a task that currently requires either manual effort or a separate AI tool — Smart Columns bring them into the sheet natively.
The enterprise relevance is significant for organizations using Smartsheet as a data collection and analysis layer. If you’re aggregating status updates from 50 project teams into a portfolio sheet, a Smart Column can automatically assess each update against your risk criteria and flag the ones that need executive attention — without requiring a portfolio manager to read and categorize 50 text entries every week.
Smart Hub: Enterprise AI Governance at the Platform Level
Smartsheet’s governance approach — through Smart Hub — is the most explicitly enterprise-oriented AI control architecture in the work management category. Smart Hub gives organizations control over how AI interacts with their data at the platform level: which AI capabilities are enabled, which data sources agents can access, how agent actions are logged and audited, and where custom agents can be built.
This matters for Smartsheet’s customer base in ways it doesn’t for tools targeting smaller organizations. A professional services firm running client project management in Smartsheet needs to ensure that AI agents accessing client data are operating within the data governance commitments they’ve made to those clients. A regulated enterprise using Smartsheet for compliance tracking needs to know that AI-generated column data is auditable and traceable. Smart Hub is designed to make those assurances technically verifiable, not just contractually promised.
Availability Reality Check: What’s Live vs. What’s Still Beta
| Feature | Status (May 2026) | Access |
|---|---|---|
| Smart Assist | Private Beta → EAP by end of year | Early adopter program |
| Smart Flows | EAP release (coming months) | Early Adopter Program |
| Smart Columns | EAP release (coming months) | Early Adopter Program |
| Smart Agents (PM Agent) | EAP release (coming months) | Early Adopter Program |
| Smart Hub | Launching 2026 | Enterprise plan |
| Security Score / MFA | Generally Available | All plans |
| Dynamic Dropdowns | Generally Available | All plans |
The honest read: most of Smartsheet’s AI innovation is in beta or EAP as of May 2026. If you need these capabilities now, you’ll need to apply to the Early Adopter Program. If you’re evaluating Smartsheet for AI capabilities and comparing it to monday.com or Notion — both of which have shipped more features into general availability — the comparison isn’t yet fair. Smartsheet’s architecture may be more enterprise-appropriate when it reaches GA, but it’s not there yet.
For organizations already on Smartsheet Enterprise, the right move is to apply for EAP access immediately — not because you should restructure your workflows around beta features, but because the early adopter window is when vendor product teams are most responsive to feedback, and your input will shape how these features evolve toward GA.
Who Should Be Watching Smartsheet’s AI Roadmap
Smartsheet’s AI strategy is most relevant for three specific organizational profiles: enterprises running complex, multi-stakeholder programs where governance requirements are non-negotiable; organizations in regulated industries where AI auditability is a compliance requirement; and large enterprises already deeply invested in Smartsheet who need AI capabilities that work within their existing data architecture rather than requiring a platform migration.
For smaller teams or organizations without significant governance requirements, Smartsheet’s AI roadmap is probably not the right evaluation priority. The complexity-to-value ratio favors simpler platforms for simpler needs. The Smart Agent suite is being built for organizations where project failures are expensive enough to justify sophisticated AI oversight — not for teams where the main benefit of project management software is knowing whose turn it is to update the status field.
Frequently Asked Questions
How do I join Smartsheet’s Early Adopter Program for Smart Agents?
Visit smartsheet.com/ai and look for the EAP waitlist, or contact your Smartsheet account manager directly if you’re on an Enterprise plan.
Are Smartsheet Smart Columns included in existing plan pricing?
Pricing for Smart Columns and other AI features hasn’t been finalized as of May 2026. For features in EAP, pricing typically gets confirmed at general availability. Contact Smartsheet sales for current commitments.
Can Smartsheet Smart Agents connect to external data sources outside Smartsheet?
Smart Hub is designed to define how AI interacts with organizational data, which suggests external connector support is planned. Specific integrations will be confirmed as features move from EAP to GA.
How does the Project Manager Smart Agent handle changes to the project plan?
The agent monitors progress against the existing plan and flags divergences. It makes recommendations about plan adjustments but doesn’t autonomously modify your project schedule — human approval is required for plan changes.