How 3 fintech companies use integration data to power cutting-edge AI features

To stand out in their crowded markets, fintech companies need to support AI features that are personalized to each and every customer and consistently produce reliable and timely outputs.

We’ll walk through how real-world fintechs have accomplished just that by leveraging integration data.

Causal auto-calculates key financial metrics

Causal, a financial planning platform, wanted to use AI to accelerate their customers’ time to value and increase product usage more broadly.

With that in mind, they added QuickBooks and Xero integrations to their product, allowing them to ingest customers’ financial documents (e.g., P&L statements) and feed the data from these documents to their machine learning model. 

They then built a product feature that sits on top of the model (dubbed their “AI Wizard”) that can calculate key financial metrics, like their customer’s gross profit, runway, and burn rate—all with the click of a button. The AI Wizard can even add these metrics to organized, customizable models so that customers can quickly uncover trends and make informed business decisions.

 

Taimur Abdaal, Causal’s CEO and co-founder, shares more on how their AI Wizard works:

Related: How Causal accelerated their time-to-value by 20% with Merge

Inscope auto-generates critical financial reports

AI is core to Inscope’s platform, as they use large language models (LLMs) to help customers’ finance teams create GAAP financial reports, cash flow statements, audit documents, and more with the click of a button.

To help a given customer create their own financial reports and documents, Incope integrates with the customer’s ERP system (typically NetSuite) and syncs a range of financial data every 24 hours, including the customer’s accounts, accounting periods, general ledger transactions, and income statements. The customer can then make a simple request, (e.g., “Create my most recent cash flow statements”), and Inscope’s LLM can use the integration data to generate that report(s).

Auto-generated cash flow statements in Inscope

Related: How Inscope uses Merge’s NetSuite integration to close target enterprise organizations

Neo.Tax auto-enriches tickets related to R&D projects

The fintech platform helps companies earn R&D tax credits by working with them to submit the appropriate set of documentation.

As part of this process, Neo.Tax’s customers need to upload tickets related to their work on R&D projects onto Neo.Tax. In addition, these tickets needed to be associated with the appropriate R&D projects and include the amount of hours taken to complete them.

To ensure that each R&D ticket includes these details, Neo.Tax integrates with every customer’s ticketing system and feeds ticketing data to their LLM. 

Neo.Tax’s LLM can then use semantic context to automatically categorize each ticket and assign an accurate estimate of the hours taken to complete it.

A screenshot of Neo.Tax's platform
Neo.Tax uses AI to automatically assign specific tickets to their associated projects

Related: How Neo.Tax uses Merge to launch ticketing integrations 300% faster

Build best-in-class AI features with Merge

Using Merge, the leading unified API solution, you can power best-in-class AI features across your customer base.

Our unified API platform lets you add 200+ integrations across software categories through a single build, making it easy to access all of your customers’ data within a short timeframe.

Our suite of Integration Observability features and integration maintenance support (provided by our team of partner engineers) will also help your integrations experience little downtime—which enables your LLM to gather all the data it needs over time.

Finally, since Merge provides normalized data to your product, your LLM will be better positioned to generate high quality output more consistently.

Learn how Merge can power your fintech product’s AI features by scheduling a demo with one of our integration experts

But Merge isn’t just a Unified 
API product. Merge is an integration platform to also manage customer integrations.  gradient text
“It was the same process, go talk to their team, figure out their API. It was taking a lot of time. And then before we knew it, there was a laundry list of HR integrations being requested for our prospects and customers.” gradient text
“It was the same process, go talk to their team, figure out their API. It was taking a lot of time. And then before we knew it, there was a laundry list of HR integrations being requested for our prospects and customers.” gradient text
“It was the same process, go talk to their team, figure out their API. It was taking a lot of time. And then before we knew it, there was a laundry list of HR integrations being requested for our prospects and customers.” gradient text

Heading 1

Heading 2

Heading 3

Heading 4

Heading 5
Heading 6
“It was the same process, go talk to their team, figure out their API. It was taking a lot of time. And then before we knew it, there was a laundry list of HR integrations being requested for our prospects and customers.”

Daniel Marashlian - Co-Founder & CTO

This is a link inside of a rich text

  • List item
  • List item
  • List item
  1. List item
  2. List item
  3. List item
Caption goes here
This is some text inside of a div block.
Table of contents
Add hundreds of integrations to your product through Merge’s Unified API
Get a demo
Just for you

How 3 fintech companies use integration data to power cutting-edge AI features

Jon Gitlin
Senior Content Marketing Manager
@Merge

To stand out in their crowded markets, fintech companies need to support AI features that are personalized to each and every customer and consistently produce reliable and timely outputs.

We’ll walk through how real-world fintechs have accomplished just that by leveraging integration data.

Causal auto-calculates key financial metrics

Causal, a financial planning platform, wanted to use AI to accelerate their customers’ time to value and increase product usage more broadly.

With that in mind, they added QuickBooks and Xero integrations to their product, allowing them to ingest customers’ financial documents (e.g., P&L statements) and feed the data from these documents to their machine learning model. 

They then built a product feature that sits on top of the model (dubbed their “AI Wizard”) that can calculate key financial metrics, like their customer’s gross profit, runway, and burn rate—all with the click of a button. The AI Wizard can even add these metrics to organized, customizable models so that customers can quickly uncover trends and make informed business decisions.

 

Taimur Abdaal, Causal’s CEO and co-founder, shares more on how their AI Wizard works:

Related: How Causal accelerated their time-to-value by 20% with Merge

Inscope auto-generates critical financial reports

AI is core to Inscope’s platform, as they use large language models (LLMs) to help customers’ finance teams create GAAP financial reports, cash flow statements, audit documents, and more with the click of a button.

To help a given customer create their own financial reports and documents, Incope integrates with the customer’s ERP system (typically NetSuite) and syncs a range of financial data every 24 hours, including the customer’s accounts, accounting periods, general ledger transactions, and income statements. The customer can then make a simple request, (e.g., “Create my most recent cash flow statements”), and Inscope’s LLM can use the integration data to generate that report(s).

Auto-generated cash flow statements in Inscope

Related: How Inscope uses Merge’s NetSuite integration to close target enterprise organizations

Neo.Tax auto-enriches tickets related to R&D projects

The fintech platform helps companies earn R&D tax credits by working with them to submit the appropriate set of documentation.

As part of this process, Neo.Tax’s customers need to upload tickets related to their work on R&D projects onto Neo.Tax. In addition, these tickets needed to be associated with the appropriate R&D projects and include the amount of hours taken to complete them.

To ensure that each R&D ticket includes these details, Neo.Tax integrates with every customer’s ticketing system and feeds ticketing data to their LLM. 

Neo.Tax’s LLM can then use semantic context to automatically categorize each ticket and assign an accurate estimate of the hours taken to complete it.

A screenshot of Neo.Tax's platform
Neo.Tax uses AI to automatically assign specific tickets to their associated projects

Related: How Neo.Tax uses Merge to launch ticketing integrations 300% faster

Build best-in-class AI features with Merge

Using Merge, the leading unified API solution, you can power best-in-class AI features across your customer base.

Our unified API platform lets you add 200+ integrations across software categories through a single build, making it easy to access all of your customers’ data within a short timeframe.

Our suite of Integration Observability features and integration maintenance support (provided by our team of partner engineers) will also help your integrations experience little downtime—which enables your LLM to gather all the data it needs over time.

Finally, since Merge provides normalized data to your product, your LLM will be better positioned to generate high quality output more consistently.

Learn how Merge can power your fintech product’s AI features by scheduling a demo with one of our integration experts

“It was the same process, go talk to their team, figure out their API. It was taking a lot of time. And then before we knew it, there was a laundry list of HR integrations being requested for our prospects and customers.”

Name
Position
Jon Gitlin
Senior Content Marketing Manager
@Merge

Jon Gitlin is the Managing Editor of Merge's blog. He has several years of experience in the integration and automation space; before Merge, he worked at Workato, an integration platform as a service (iPaaS) solution, where he also managed the company's blog. In his free time he loves to watch soccer matches, go on long runs in parks, and explore local restaurants.

Read more

Why embedded iPaaS solutions fail to support AI-powered product features

AI

3 RAG use cases—plus tips for implementing them

AI

Why AI companies need both raw and normalized customer data

AI

Subscribe to the Merge Blog

Subscribe to the Merge Blog

Subscribe

Make integrations your competitive advantage

Stay in touch to learn how Merge can unlock hundreds of integrations in days, not years

Get a demo

Make integrations your competitive advantage

Stay in touch to learn how Merge can unlock hundreds of integrations in days, not years

Get a demo