Data to AI™ / ChatGPT/Gusto
Review payroll runs, contractor spend and pending leave from Gusto in ChatGPT, and approve every query before it reads your HR data.
Better answers, fewer tokens.
ChatGPT
What did each September payroll cost us, including employer taxes?
The three September payrolls came to $412,300 in Gross Pay and $31,540 in Employer Taxes. The off-cycle run on Sep 19 covered bonuses only.
| Check Date | Gross Pay | Employer Taxes | Net Pay |
|---|---|---|---|
| Sep 15, 2026 Payrolls | $196,800 | $15,060 | $141,900 |
| Sep 19, 2026 Payrolls | $18,700 | $1,430 | $12,600 |
| Sep 30, 2026 Payrolls | $196,800 | $15,050 | $142,100 |
Payrolls reads processed and unprocessed payrolls in the date window, so the answer checks Processed. Gross Pay and Employer Taxes were left out of Hash Sensitive Fields here so they can be summed.
Gusto runs payroll, benefits and HR for small and mid-sized businesses. Dataddo extracts employees, jobs, terminations, payrolls, per-employee pay, time off and contractor payments for one Gusto company, so HR and payroll teams can ask about headcount, payroll cost and leave in plain language.
Run data_status on the Gusto flow, then list Payrolls in the last 30 days that are not Processed, with Check Date and Payroll Deadline.
The payroll administrator confirms each query, then works through the runs that still need approval before their deadlines pass.
Total Payments Wage and Payments Reimbursement per Contractor ID by month for the last six months from Contractor Payments.
The office manager brings a month-by-month view of contractor costs to the budget meeting, instead of adding up payment confirmations.
How many Time Off Requests are pending, grouped by Policy Type and Request Type, and how many Days do they cover?
In November, HR sees how much leave is still waiting for a decision and reminds managers to clear the queue before year-end.
Data to AI™ is priced per seat, like the AI assistants your team already uses, with ~25% off on annual billing. Need tailored contracts or volume pricing? Talk to us about Enterprise.
Serve governed business data to Claude, ChatGPT and other AI tools over MCP.
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3 seats minimum
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Gusto datasets with personal data offer the Hash Sensitive Fields option. Dataddo replaces the values of the columns you select with a hash before the data leaves Dataddo, so ChatGPT can still count and group records but never sees the raw values.
| Dataset | Sensitive fields preselected by Dataddo |
|---|---|
| Companies |
|
| Contractors |
|
| Employees |
|
| Employee Terminations |
|
| Employee Work Addresses |
|
| Payrolls |
|
| Without Dataddo |
With Dataddo
|
Outcome for you | |
|---|---|---|---|
| Contractor costs | Each month someone downloads contractor payment reports, totals wages and reimbursements in a sheet and uploads the result to ChatGPT. | ChatGPT queries Contractor Payments with Payments Wage, Payments Hours and Payments Reimbursement from the latest extraction whenever you ask. | Contractor spend on request |
| Payroll status | Unapproved payroll runs are spotted by opening Gusto and checking each pay schedule before the cutoff. | Payrolls includes processed and unprocessed runs in the date window, with Processed, Check Date and Payroll Deadline. | Open runs flagged early |
| Employee details | An uploaded time off or employee file carries names, emails and phone numbers straight into the ChatGPT conversation. | Hash Sensitive Fields replaces Email, Phone and other preselected columns with hashes before extraction, and you confirm every tool call. | Approved queries, hashed people |
| Token consumption | ChatGPT spends tokens exploring raw Gusto columns, sampling rows and retrying until it understands the data. | Field definitions and relations are supplied up front, so the model skips the exploration and goes straight to the answer. | Fewer tokens per answer |
| Answer quality | Prone to wrong joins, invented fields and numbers that are hard to check. | Answers grounded in defined fields. In the Dataddo benchmark, 78.5% of questions were answered correctly, against 65.5% with plain CSV files. | Better answers |
The Gusto datasets HR and payroll teams use most, with their real field names. ChatGPT queries them by name through the Dataddo semantic layer.
| Dataset | Metrics and attributes |
Ask ChatGPT
|
|---|---|---|
| Employees |
|
Which employees are not yet Onboarded, and which Department are they joining? |
| Employee Jobs |
|
Which job Title has the most employees, counting only jobs marked Primary? |
| Employee Terminations |
|
Which upcoming terminations are still Cancelable, and what is their Effective Date? |
| Payrolls |
|
How much did Employee Bonuses add to payroll this quarter compared with last quarter? |
| Payroll Employee Compensations |
|
Which employees were Excluded from a payroll in the last two months? |
| Time Off Requests |
|
Which Request Type do employees submit most often, and under which Policy Type? |
| Employee Time Off Activities |
|
What is the total Balance Change per month by Event Type this year? |
| Contractor Payments |
|
Which contractors logged the most Payments Hours last quarter? |
We asked 43 pre-registered questions of three real datasets - Google Search Console, HubSpot deals and Google Ads - and delivered the same rows to the same model in four ways. Only the data layer changed.
of questions answered correctly - the best of the four delivery methods tested
fewer confidently wrong answers - 14.0% of runs against 24.0% and 26.3%
more correct answers on messy CRM data - better on 8 questions, worse on none
Same model, prompts and rows in every condition; 759 graded runs, ground truth frozen before any run. On Google Search Console alone, documented CSV files did as well as Data to AI™ - the advantage comes from messier data such as HubSpot deals.
Read the benchmark →Extract Gusto in Dataddo with Payrolls, Contractor Payments and Time Off Requests, using OAuth and the company you select, then attach the flow to a ChatGPT destination or AI Model. In ChatGPT on the web, enable Developer mode, create a Dataddo Data Access app with https://headless.dataddo.com/mcp-data and OAuth, and pick it from the + menu.
Developer mode on the web, available on Pro, Plus, Business, Enterprise and Education. On Business and Enterprise, a workspace admin may need to allow developer mode first.
Yes. ChatGPT asks you to confirm each tool call, so every lookup of Payrolls, Contractor Payments or Time Off Requests runs only after you approve it.
Turn on Hash Sensitive Fields when you create the Gusto source. Dataddo preselects personal columns such as Email, SSN and Work Email in Employees and Employee Terminations, and hashes them during extraction.
Payrolls, Contractor Payments and Time Off Requests read a sliding date window. Run one full data re-sync with a wider range to load earlier periods.
Yes. In the app settings you can switch individual Dataddo tools on or off, for example to keep refresh disabled while still allowing queries.
No. Access is read-only through the semantic layer. Dataddo never accepts SQL from the model, and nothing is written back to Gusto.
