---
title: "Rig for fintech: let your team use AI on real customer data, safely"
description: "Every person and every AI agent gets its own permissions on your warehouse, the fields they should not see stay hidden, and every question is logged. Fraud and disputes get case context in minutes. Cleo went from a fraud pilot to org-wide in 16 weeks."
canonical: "https://rig.so/solutions/fintech"
format: markdown
---

[Home](https://rig.so/)

For fintech

# Let your team use AI on real customer data, safely

Rig gives every person and every AI agent its own permissions on your warehouse, hides the fields they should not see, and logs every question asked. Fraud and disputes get their case context in minutes instead of an hour, and nobody has to hand out database credentials to make it happen.

[Book a demo](https://rig.so/book-demo)[Try Rig](https://app.rig.so/signup)

Cleo, consumer fintech, Series C

16 weeks

from a fraud-team pilot to org-wide

37 to 204

seats over three months

4,000

tables in the governed context layer

In plain terms

Rig is AI-native data infrastructure. Think Stripe or Vercel, but for data.

We connect all your sources, build a brain that sits on top of them, and let your team and your AI tools reach that data safely. For a fintech that means fraud, disputes, ops and finance can each ask the warehouse a question directly, see only the fields their role allows, and leave an audit trail behind every one.

What you'd build

## What a fintech builds first

These are projects, not features. Fintechs were already careful about who could reach customer data; what changed is that the people who cannot get access now have Claude and ChatGPT open in another tab, and the path of least resistance is to paste data into one of them.

### Dispute and chargeback evidence packs

Every case assembled in one pass: the transaction and its history, the customer's prior disputes, the support contacts around it, and the device and session context. This is the job that took Cleo's analysts 30 to 60 minutes per case before anyone could decide anything.

Your warehouse · Stripe · Zendesk · Intercom

### KYC and onboarding review queue

Verification outcomes ordered by risk rather than by arrival, so analysts spend the day on the cases that need judgment instead of clearing the ones that never did.

Sumsub · Your warehouse

### Approval-rate diagnostics

Why approvals moved last week, cut by segment, cohort and channel, against the rule and model changes that shipped in the same window. The question every payments and lending team asks and few can answer the same day.

Your warehouse

### Repayment risk and limit alerts

Cohorts drifting off plan before they reach collections, and limit changes surfaced as alerts rather than found in a monthly review. Two of the things Cleo's finance and disputes teams built.

Your warehouse · Stripe

### Fraud rule performance and false positives

How each rule actually performs: what it catches, what it costs in good customers declined, and which rules have quietly stopped earning their place.

Your warehouse

### Support quality and escalation patterns

Every conversation reviewed rather than a 2% sample, with escalation patterns and weekly summaries surfaced automatically. Cleo runs conversation-quality reviews and escalation tracking this way.

Zendesk · Intercom · Front

### Channel and campaign performance

Spend against the accounts it actually acquired and what those accounts went on to be worth, rather than against platform-reported conversions. Cleo built top-performing ad detection and channel reviews on this.

Meta Ads · Google Ads · Your warehouse

### Per-agent access and audit

Each person and each AI agent scoped to its own role, queries running in a sandbox rather than against the raw database, PII masked by policy, and a full log of who asked what. The part that makes the rest of this list allowable.

Rig MCP · Claude · ChatGPT · Cursor

[How access and audit work](https://rig.so/security)

In production

> "Every team has a Rig agent now. Ops, support, fraud, marketing. We stopped being the bottleneck."

Cleo, consumer fintech, Series C

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

Partner

CleoConsumer fintech · Series C · 4,000-table warehouse

Challenge

Fraud and dispute analysts were spending 30 to 60 minutes per case assembling context before a decision could be made. The warehouse held four thousand tables and no documentation anyone trusted, and three analysts spent their week answering other teams' questions rather than doing their own work.

Solution

Rig built a self-healing context layer over the whole warehouse, then rolled out by function rather than by mandate, starting with the fraud team where the pain was sharpest. Finance and disputes followed, then marketing, operations, GTM and customer support, each building their own workflows on the same governed layer.

- 16 weeks from a fraud-team pilot to org-wide
- Seats went from 37 to 204 over three months
- Five functions actively building, from three analysts automating data documentation to roughly 200 business users automating data-heavy work
- Loan limit alerts, repayment risk warnings, dispute backlog triage, campaign tracking, OKR progress and conversation-quality reviews all running on the same layer

## What we are not going to claim

Two things are worth saying plainly, because you will find them out in procurement anyway and we would rather it came from us.

There is no fintech connector suite. We connect the commercial stack you run around the product, plus Sumsub for KYC, but there is no core banking, ledger, card issuing or lending connector in the catalogue. Rig's place in a fintech is on top of the warehouse your product data already lands in, which is how Cleo runs it.

And on compliance: SOC 2 Type II is in progress rather than held, and we do not hold ISO 27001. PII masking is applied by policy rather than on by default, so classifying columns and setting those policies is a real part of onboarding. The mechanisms are there, the certification is not yet, and your risk team should hear that before they see a demo.

[Current security status](https://rig.so/security)

Proof

## Cleo runs on Rig, and so do these

Cleo is the fintech, running Rig across five functions on its own warehouse. It is the only one so far, which is why the rest of the wall is labelled with what those companies actually do rather than left to imply otherwise.

[![Cleo](https://rig.so/logos/customers/cleo.png)Consumer fintech](https://rig.so/case-studies/cleo)[![Suri](https://rig.so/logos/customers/suri.png)Sustainable oral care](https://rig.so/case-studies/suri-metrics)

![Hunter & Gather](https://img.logo.dev/hunterandgatherfoods.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=120&format=png)Food and supplements

[![Birdie](https://rig.so/logos/customers/birdie.png)Homecare software](https://rig.so/case-studies/birdie)[![Novakid](https://rig.so/logos/customers/novakid.png)Online education](https://rig.so/case-studies/novakid)

![deskbird](https://img.logo.dev/deskbird.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=120&format=png)Workplace management

![Vita Mojo](https://img.logo.dev/vitamojo.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=120&format=png)Hospitality tech

![Frontline Education](https://img.logo.dev/frontlineed.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=120&format=png)K-12 school software

Built on Rig

## What fintech teams build on Rig

Real examples assembled from Rig's building blocks, running on the warehouse your product data already lands in.

[Account health · Globex Inc78HealthUsage+18%Support−2 ticketsSpend+£4kExpansion readyPropose Tier 3DashboardAccount health & expansionOne health score across product, support and financeA live account health view that blends usage, support load and revenue signals to flag churn risk early and surface the accounts ready to expand.![Segment logo](https://img.logo.dev/segment.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=36&format=png&retina=true)![Zendesk logo](https://img.logo.dev/zendesk.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=36&format=png&retina=true)![Stripe logo](https://img.logo.dev/stripe.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=36&format=png&retina=true)How to build](https://rig.so/apps/account-health)[Board pack · JuneARR£4.1mNet burn£180kRunway16mJanFebMarAprMayJun“ARR up 12% MoM, net burn down 8%, runway extended to 16 months.”ReportInvestor & board reportingAuto-assemble the board pack from source dataGenerate the monthly board and investor update straight from finance, product and CRM data, with the numbers and commentary built in minutes, not days.![Stripe logo](https://img.logo.dev/stripe.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=36&format=png&retina=true)![Xero logo](https://img.logo.dev/xero.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=36&format=png&retina=true)![HubSpot logo](https://img.logo.dev/hubspot.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=36&format=png&retina=true)minutes, not daysHow to build](https://rig.so/apps/board-reporting)[Ask for a dashboardMRR by plan, last 12 monthsBuildMRR£342kChurn2.1%EnterpriseGrowthStarterJulSepNovJanMarMayDashboardSelf-serve dashboardsLet anyone build a custom dashboard in plain EnglishBusiness teams ask for the report they need and Rig builds a governed, custom dashboard on your modelled data, so the data team stops being a ticket queue.![Snowflake logo](https://img.logo.dev/snowflake.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=36&format=png&retina=true)![BigQuery logo](https://img.logo.dev/cloud.google.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=36&format=png&retina=true)CleoHow to build](https://rig.so/apps/self-serve-dashboards)

[See all apps](https://rig.so/apps)

## Common questions

Do you have connectors for our core banking or ledger

Almost certainly not, and we would rather say so. The catalogue covers the commercial stack a fintech runs (Stripe, CRM, support, ads, finance tools) plus Sumsub for KYC, but there is no core banking, card issuing or lending connector. That is not usually the blocker, because your product data already lands in your own warehouse. Rig sits on top of that warehouse, which is exactly how Cleo runs.

Is Rig certified for financial services

SOC 2 Type II is in progress, not held, and we do not hold ISO 27001 or a financial services accreditation. Data can stay in your own warehouse so it never moves to us, or you can use EU-based Rig hosting. The security page carries the current status, and we are happy to walk your risk team through it on a call rather than have you take a badge on a landing page at face value.

How do you stop an AI agent seeing customer data it shouldn't

Access is role based per person and per agent, queries run in a sandbox rather than against the raw database, PII columns can be classified and masked by policy, and every query is logged for audit. Worth knowing before you scope a rollout: masking is applied by policy rather than on by default, so classifying your PII columns and setting those policies is part of onboarding, not something that happens automatically.

What did this actually change for a fintech

At Cleo, a consumer fintech at Series C, fraud and dispute analysts had been spending 30 to 60 minutes assembling context per case before they could decide anything. Rig built a self-healing context layer over a 4,000-table warehouse, and the rollout went from a fraud-team pilot to org-wide in 16 weeks, with seats going from 37 to 204 and five functions building on it.

Does this replace our data team

No, it removes them from the request queue. Cleo's own framing was going from three analysts automating data documentation to roughly 200 business users automating data-heavy work. The data team still owns the definitions and the access policy, which is the part that actually needs judgment.

We have a 4,000 table warehouse, will the context layer cope

That is close to Cleo's exact number, and Novakid runs 5,000+. The context layer is generated from the warehouse rather than hand-written, and it re-derives as the schema drifts, which is the only reason a warehouse that size stays documented at all.

## Give the tools your team already uses a governed door

Bring your warehouse and your access rules. We'll show you what the context layer builds over them.

[Book a demo](https://rig.so/book-demo)[Try Rig](https://app.rig.so/signup)

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