---
title: "Run your reports, apps and agents on governed data from every system | Rig"
description: "Build once on Rig and switch off the point tools. Your team gets answers on agreed definitions in Slack, Claude and your own apps."
canonical: "https://rig.so/products/run"
format: markdown
---

Run

# Run your reports, apps and agents on governed data from every system

Build once on Rig and switch off the point tools. Your team gets answers on agreed definitions in Slack, Claude and your own apps.

[See it on your data](https://rig.so/book-demo)

ΛWin/loss by reasonLive

31%

Win rate

48d

Avg cycle

£1.2m

Lost (Q3)

Lost reason

Price

Timing

Champion

Feature

No-go

ΛQuote-to-cashrunning

Closed-won

Raise invoice

Reconcile

Chase

![Stripe logo](https://img.logo.dev/stripe.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=30&format=png&retina=true)![Xero logo](https://img.logo.dev/xero.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=30&format=png&retina=true)Chase 3 overdue

## How Run works

Point the AI tools your team already uses at one governed layer. Hosting, access and audit come with it, so you don’t have to build them.

**01**

### Connect your AI tools

Add Rig’s MCP server or API to Claude, Cursor, ChatGPT and Copilot. One endpoint serves every tool.

**02**

### They get accurate data

Rig Map hands each tool the real joins, certified metrics and business terms, so nothing has to guess the schema.

**03**

### Your team builds

Dashboards, reports and agents, built in the tool or in Rig by the people who need them, without waiting in a queue.

**04**

### Host and share on Rig

Publish to a real URL with role-based access and PII masking. Preview as any role before you ship it.

**05**

### Everything audited

Every query, app and tool call is logged against the person behind it, so each app is ready for a security review.

## What teams ship on Run

Apps in weekly use across GTM, finance, CS and fraud teams, built by the people who needed them.

[Weekly forecastSales · 6 live dashboards**A Series B healthtech**Sales, finance, CS and marketing15+ live dashboards, owned by each functionReporting that took about three months in a legacy BI tool, rebuilt in under a day.](https://rig.so/case-studies/birdie)[Dispute managerDSP-4218 · duplicate chargeDSP-4209 · fraudulentDSP-4191 · resolvedFraud · context auto-stitched**A consumer fintech**Fraud and disputesDispute context, pulled together automaticallyContext that took 30 to 60 minutes to assemble by hand for each case now comes from one governed layer.](https://rig.so/case-studies/cleo)[Rep coachingObjection handling82%Discovery depth64%Next-step set91%Sales · pushed to CRM**A global edtech**Sales managers and country leadsContext for every trial callTalking points, purchase probability and objection prep before each call, self-served by the people closest to revenue.](https://rig.so/case-studies/novakid)[Recurring revenueEnterpriseMid-marketSMBFinance · by segment**A B2B SaaS scale-up**Finance and revenueRecurring revenue by segment, liveNumbers stop being re-derived from scratch each cycle. One shared view the exec team checks every day.](https://rig.so/case-studies)

[See the customer stories](https://rig.so/case-studies)

Why Rig

## The difference between an artifact and an app

A vibe-coded file is a one-off. Run makes it accurate, hosted, permissioned and provable.

| Capability | Without Rig | With Rig |
| --- | --- | --- |
| Data accuracy | Each tool guesses the joins | One shared map of definitions |
| Where the app lives | An HTML file on a laptop | Hosted on Rig, at a real URL |
| Who can see it | Whoever it’s forwarded to | Role-based access, PII masked |
| Audit trail | None | Every query and user logged |
| Schema drift | Breaks without warning | Detected and kept current |
| AI tool access | Wired up per tool, per person | One MCP, fully permissioned |
| Security review | A scramble every time | Ready from day one |

[Try Rig](https://app.rig.so/signup)

Customer story / Birdie

## Retire legacy BI and unblock AI for RevOps

Retiring legacy BI gave Birdie’s RevOps team faster, AI-ready reporting. Then, sales broke into a new segment, finance started closing the month a day sooner, and customer success now trusts every answer it gets from AI.

[Read the story](https://rig.so/case-studies/birdie)

**1 day**saved at month-end close for finance

**2 reps**took sales into a new segment

> “I think it shaved at least a day off our month-end timetable.”

Finance, Birdie

SOC 2 Type 2EU and US hostingRole-based accessYour warehouse or ours

Talk to Rig

## What work do you want to improve?

Tell us where your team spends time, loses money or needs better information.
In a 30-minute call, we’ll discuss the data and systems work that could help.

[See it on your data](https://rig.so/book-demo)Use the platform with your team, or add our engineers.

---

- [This page as HTML](https://rig.so/products/run)
- [Site map for language models](https://rig.so/llms.txt)
- [API and agent documentation](https://rig.so/developers)