Skip to main content

Reports without the report builder. Read-only by design.

Ask for headcount by department this quarter and get the table in seconds, then refine it in place and export to CSV, Excel, JSON or PDF. Queries see only what your role can.

Request a demo
Two colleagues going over printed charts and a laptop at a table in a bright office; on the photo, a headcount report the Report Agent generated from a plain-English question, ready to export

Ask for headcount by department this quarter and get the table in seconds, then refine it in place and export to CSV, Excel, JSON or PDF. Queries see only what your role can.

Trusted by frontline employers everywhere

  • Civicus
  • Hendrick Health System
  • IPC
  • Marion Health
  • OU Health
  • Petauri
  • PetSmart
  • Proterra
  • Raley's Supermarkets
  • Rolex USA
  • Santee Cooper
  • Team Health

Ask in plain English, get the report

Ask for headcount by department this quarter, and the agent generates it as a table, a chart or a summary.

  • Table, chart or summary

    A table for data review, a chart for visuals, a summary for an exec briefing.

  • Plain-English date ranges

    "This month", "last quarter" and "trailing 4 weeks" all resolve to the right window.

  • Permission-scoped at source

    The report only returns rows the user's role can already see in the underlying data.

A manager asking for headcount by department this quarter, and the agent returning the table with an offer to show it as a chart or a summary

Refine it in place, not from scratch

Say "filter for Engineering and group by location" and the agent changes the prior report, keeping the rest.

  • Filter, group and sort

    Each change modifies the previous report and keeps the rest of its configuration intact.

  • Layer refinements

    Filter, then group, then sort, without losing earlier choices.

  • Re-runs at source

    Each refinement re-queries the underlying data, so numbers stay current.

A report's refinements layered one after another, a filter, a grouping and a sort, each applied without rebuilding it

Saved templates, any export format

Recurring reports are saved as templates with ownership and run history, and export to CSV, Excel, JSON or PDF.

  • Templates to start from

    The report templates available to you, most-used first, with owner and last-run summary.

  • Recent reports, ready to re-run

    Recently run or recently updated reports, surfaced for a quick re-run.

  • CSV, Excel, JSON or PDF

    For the spreadsheet, the deck, the data pipeline or the email attachment.

A saved weekly attendance template with its owner and last run, ready to export in the format the reader needs

Read-only by design

The agent has no write tools. It generates, refines and exports reports, and never modifies the underlying data.

  • Zero write tools

    No data modification, no record edits, no schema changes.

  • Export is a read action

    A file is created from already-retrieved data, with no upstream change.

  • Audit trail on every action

    Read or export, every tool call logs the requesting user, the tool and the argument names.

The audit trail of a report session, each read and export logged with the requesting user

Report Agent at a glance

Reporting AI

Plain-English query, refine in place, multi-format export.

At a glance
Plain-English
Query
Refine
In Place
Read-Only
By Design
Includes
Natural-Language Reports, In-Place Refinement, and Multi-Format Export
Composes With
AI Sheets, Communications AI, and Surveys AI
Healthcare
“We wanted to drive people into MangoApps, and we wanted to make our Assistants useful immediately. Petauri Ask was trained on resource guides we’d already uploaded, so employees could ask things like ‘How do I submit an expense report?’ or ‘Where do I find the holiday calendar?’”
Jeff Petet Senior VP of IT, Petauri
See the full story of Petauri
Retail
“At our head office within HR, marketing, and finance, we use ChatGPT quite a bit, and MangoApps AI Helper is a useful tool for us. As I go around to the stores, I’ve been showing them how the AI Intranet Helper can find things and answer plain language questions about our resources, and they’re quite excited about that.”
Alison van Zijl Head of Human Resources, Full House
See the full story of Full House
“MangoApps’ search capability has been critical. It brings back so much information that would have been lost on our old intranet. The content is fresh and current. It’s been really, really nice to have.”
Cheryl Olson Head of People & Culture, Great Western Bank
See the full story of Great Western Bank

Questions managers and analysts ask

Generate a report from a natural-language query with format and date-range options, run one of your saved reports exactly as it was saved, refine the previous report with filter/grouping/sorting changes, export to CSV/ Excel/JSON/PDF, list saved report templates, get template details (owner, tool, last-run summary), and surface recently updated or recently run reports.

No. The agent has no write tools — there are no tools for editing records, changing schema, or writing to source apps. The agent reads, summarizes, and exports; every data change happens in the source app that owns the record.

Source-side, not post-hoc. The agent queries the same data the user's role can already see in the underlying apps (Employee Data, Attendance, Performance, etc.). A dept_manager's headcount report shows their team; they don't see other departments' compensation rows they wouldn't see in the source app either.

A template is a saved configuration — owner, tool, filters, format — that can be re-run on demand. A generated report is the current execution of a query (template-backed or ad-hoc). list_report_templates lists the report templates; get_recent_reports shows what's been run lately, regardless of whether a template existed.

Time-to-first-report, refinement iterations per question, self-service share of report requests, template reuse rate, and export-format diversity. Compare against your pre-agent baseline.

See what MangoApps can do for your frontline

Every team. Every employee. Every workflow. One AI platform — built for the frontline. Since 2008, trusted by 2 million+ users with an NPS of 78.

Rolled out to every employee at AutoZone (125,000), PetSmart (50,000+), A.S. Watson and Raley's (20,000) — and at larger retailers we are not permitted to name.

Prefer to explore first? Ask AI about Report Agent →

  • Within one business day: a solutions consultant asks about your workforce and what you run today.
  • The demo shows your use case: your sites, your frontline roles, your systems.
  • It ends with your price: the package and the price for your employee count, not a generic quote.