Yes, an AI agent can run the Gusto onboarding flow for each new hire: when someone is added, the agent opens the onboarding checklist, chases the missing documents and signatures, reminds managers to provision accounts and prepare for day one, verifies each step is actually complete, and notifies HR the moment something is blocked. It connects through the Gusto API on an account you authorize. It does not replace your HR team; it removes the chasing and the status-tracking that eat the days before a start date.
The hard part of onboarding is rarely any single task. It is the coordination: knowing which of a dozen steps are done, which are stuck, and who is sitting on the one form that holds up the rest. That coordination is exactly what an agent is good at, and exactly what tends to get dropped when HR is busy.
What the onboarding agent does
An onboarding agent watches for a single trigger, a new hire added in Gusto, and turns it into a tracked sequence of work. For each new person it:
- Opens the checklist for that hire: the documents to collect, the forms to sign, the accounts to provision, and the first-day tasks to schedule.
- Chases what is missing: reminders to the new hire for forms and signatures, reminders to managers for provisioning, with follow-ups on an interval you set.
- Verifies completion: it checks the actual status of each item rather than assuming a reminder was acted on.
- Flags blockers to HR: when an item stalls past its threshold, HR gets a focused alert with the item, the owner, and how long it has waited.
The agent works alongside Gusto, not instead of it. Gusto remains the system of record for payroll, benefits, and compliance. The agent is the coordinator that makes sure every onboarding step inside Gusto, and the surrounding tasks outside it, actually gets done on time.
Why onboarding stalls
Onboarding looks like a checklist, so it seems like it should run itself. It does not, because every item depends on a different person doing something on their own schedule. The new hire has to return forms. A manager has to request laptop and account access. IT has to provision. Someone has to confirm the signatures are valid. When any one of these slips, the start date arrives with gaps.
Three patterns cause most of the friction:
- No single owner of status. HR kicks off the process, but tracking who has done what falls between people. A form sits unsigned for a week because no one was watching it.
- Reminders are manual and inconsistent. Chasing a new hire for a missing tax form is awkward and easy to defer. So it gets deferred, sometimes until the day before they start.
- Provisioning is invisible until day one. No one notices the laptop was never ordered or the email account was never created until the new hire shows up and cannot log in.
A first day where the equipment is missing or the system access is not ready sets a poor tone and costs the new hire productive time. The fix is not a better checklist; most teams already have one. The fix is something that watches the checklist and acts when items do not move.
Kicking off the checklist
The trigger is the moment a new hire record is created in Gusto. The agent detects that event through the Gusto API and immediately instantiates the onboarding checklist for that specific person, using the template your team has defined.
A typical checklist the agent kicks off includes:
- Document collection: identity and work-eligibility verification, tax withholding forms, direct-deposit details, and any role-specific paperwork.
- Signatures: the offer letter, the employee handbook acknowledgment, confidentiality or IP agreements, and any policy sign-offs.
- Provisioning requests: hardware, email and software accounts, building or system access, and tool licenses, routed to the managers and teams who own each.
- First-day tasks: a welcome message, a schedule for the first day, an introduction to the team, and any required training assignments.
Each item gets an owner and a due date relative to the start date. From that point the agent is responsible for moving the checklist forward, not just displaying it. Setting this up is the kind of thing you describe once; for the general pattern of going from a plain-language description to a running workflow, see how to set up your first AI agent.
Chasing documents and signatures
This is where the agent saves the most time, because it does the part people find tedious and put off. For every document and signature item that is still open, the agent sends a clear, polite reminder to whoever owns it: the new hire for their forms, the hiring manager for their sign-offs.
The chasing follows a cadence you control rather than a single fire-and-forget message:
- Initial reminder when the item is assigned, with a plain explanation of what is needed and by when.
- Follow-up after a set interval if the item is still open, slightly firmer and noting the start date.
- Escalation to HR once a threshold passes, so a stuck form becomes a person's job to resolve rather than an endless loop of nudges.
The agent only chases what is genuinely incomplete, because it checks live status before sending. It will not nag a new hire for a form they already submitted, which is the fastest way to make automated reminders feel like spam. If you want a person to approve the wording or timing of escalations before they go out, that is a natural place for a checkpoint; the pattern is covered in how to add human in the loop to an agent.
Reminding managers about provisioning
Provisioning is the category that most often surprises everyone on day one, because it depends on managers and IT rather than on the new hire. The agent treats each provisioning task as a tracked item with its own owner and deadline, and reminds the responsible person ahead of the start date instead of after it.
For provisioning, the agent typically:
- Notifies the hiring manager to request hardware and confirm the workspace is ready, with enough lead time for shipping or setup.
- Prompts whoever owns account creation to set up email, single sign-on, and the core tools the role needs.
- Confirms access requests for systems, repositories, or shared drives the new hire will need on day one.
- Reminds the manager to schedule first-day items: a welcome, a buddy or onboarding partner, and the first-week plan.
Because provisioning often touches systems beyond Gusto, the agent acts as the reminder and verification layer across them. It does not necessarily perform the provisioning itself; in many setups, granting access is a sensitive action that should stay with a person. The agent's job is to make sure nothing is forgotten and to confirm each item was completed before the start date. Deciding which actions the agent performs directly and which it only prompts a human to do is a deliberate choice; how to limit agent actions walks through drawing that line.
Verifying each step and flagging blockers
A reminder is not the same as a result. The difference between a checklist tool and an agent is that the agent verifies, rather than assuming a nudge produced the outcome. After each reminder, and on a regular sweep, the agent checks the actual state of every item: is the form submitted, is the signature recorded, is the account created.
When an item is verified complete, the agent marks it done and moves on quietly. When an item is stuck, it does something useful with that fact:
- Identifies the specific blocker: not "onboarding is behind," but "the I-9 second section is unsigned and due in two days."
- Names the owner: who is responsible for the stuck item and how long it has been open.
- Notifies HR with a focused summary: a short list of exactly what needs a human, rather than a dump of the whole checklist.
This turns HR's role from manual tracking into exception handling. Instead of opening Gusto to figure out where each hire stands, HR receives a clear signal only when something needs attention. Knowing that the agent reliably surfaces problems depends on being able to see what it has done, which is why a visible record of its actions matters; the case for that is made in AI agent monitoring and observability.
Keeping sensitive data scoped and human-approved
Onboarding involves some of the most sensitive data an organization holds: Social Security numbers, bank details, immigration and eligibility documents, compensation. Any agent that touches this process has to be built so that its access is tightly scoped and its sensitive actions are gated behind human approval. This is not an add-on; it is the design constraint that makes the workflow acceptable in the first place.
Several principles keep the agent safe to run on real HR data:
- Least-privilege access. The agent operates on onboarding status and checklist completion, not on a free read of every sensitive field. It can know that a tax form is submitted without needing to read its contents. Access never exceeds the permissions you grant through the Gusto authorization.
- Human approval for sensitive actions. Confirming payroll setup, approving eligibility, or anything that commits the company stays a human decision. The agent prepares and surfaces; a person approves.
- Clear boundaries on what it can do. The agent reminds, verifies, and flags. It does not unilaterally change compensation, submit official filings, or grant system access unless you have explicitly and narrowly permitted a given action.
- A record of every action. What the agent read, reminded, and flagged is logged, so HR can review the trail and audit how each onboarding was handled.
These guardrails are not unique to onboarding, but they matter more here than almost anywhere else. The general principles of constraining an agent and keeping a person in control of consequential steps are covered in AI agent safety and guardrails. For the underlying definitions of agents, permissions, and human oversight, the glossary is a useful reference.
How Gravity handles Gusto onboarding
Gravity is an AI agent platform. You describe the onboarding flow you want in plain words: "when a new hire is added in Gusto, open our checklist, chase missing forms and signatures with a reminder every two days, remind the hiring manager to provision hardware and accounts a week before the start date, verify each step, and message HR the moment anything is blocked or overdue." An expert-built agent runs it.
The agent connects to Gusto through the Gusto API on an account you authorize, with access scoped to what the onboarding workflow needs and nothing more. Gravity is not affiliated with or endorsed by Gusto; the agent simply uses the authorized connection you set up. Sensitive actions are held for human approval, and every action the agent takes is logged for review. You do not build the automation, write scripts, or wire up integrations yourself.
Pay per use: $1 equals 1,000 credits, and you only pay when the agent runs. A single onboarding run, kicking off a checklist, sending a round of reminders, verifying status, and flagging blockers, is inexpensive relative to the hours of HR coordination it removes per hire. Because the agent watches continuously and acts only when something needs attention, most of its work happens quietly in the background, and HR hears from it only when a person is genuinely needed.
FAQ
Can an AI agent run the Gusto onboarding checklist for a new hire?
Yes. When a new hire is added in Gusto, the agent picks up the event, opens the onboarding checklist for that person, and starts tracking each step: document collection, signatures, provisioning reminders, and first-day tasks. It connects through the Gusto API on an account you authorize. It nudges the right people, verifies completion, and flags blockers to HR, while leaving the final HR and payroll actions to a person.
How does the agent chase missing documents and signatures?
The agent checks which onboarding items are still incomplete: a missing I-9 section, an unsigned offer or policy acknowledgment, a pending direct-deposit or tax form. It sends a clear reminder to the new hire or the responsible manager, waits a set interval, and follows up again if the item is still open. After a threshold you define, it escalates to HR instead of continuing to nudge.
Does the agent have access to sensitive HR and payroll data?
Access is scoped to the minimum the workflow needs and is never broader than the permissions you grant. The agent works with onboarding status and checklist items rather than freely reading bank account numbers or Social Security numbers. Sensitive actions, such as approving payroll setup or confirming sensitive personal data, are gated behind human approval. You decide what the agent can read and what it can only flag for a person to handle.
Does the agent replace HR, or assist them?
It assists. The agent handles the repetitive coordination: opening the checklist, reminding people, verifying steps are done, and surfacing blockers. Decisions that need judgment or carry legal weight, such as eligibility confirmation, compensation, and final payroll approval, stay with HR. The goal is to remove the chasing and the status-tracking, not the human responsibility.
What happens when a step gets stuck?
The agent verifies each step against the checklist and watches for items that miss their due date or stay open past a threshold. When something stalls, an unreturned form, a manager who has not provisioned access, a signature still pending, it notifies HR with the specific blocker, the person responsible, and how long it has been open. HR gets a focused list of what needs a human, not a full inbox to triage.