Lang.ai for FinTech

Solidify customer trust with end to end customer support automation for digital-first FinTechs
Lang.ai helps companies scale their customer support processes with AI-based tagging, prioritization, and routing that’s painless to setup and easy to maintain

FINTECH USE CASES

Streamline your support operations by automatically tagging and prioritizing every ticket

Every customer touchpoint will be categorized with the root cause so that you have a top-down view. Customize your analysis for each product offering such as credit cards, loans, mortgages, wire transfers, checking and saving accounts and set up a prioritization system for high-risk issues, and real-time routing to the right team or individuals.

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Bring Risk Operations teams closer to the customer

Lang.ai helps organizations stay on top of their customer support requests and brings Risk Operations teams closer to the support process. If there are certain customer contact reasons that require additional review such as credit limit increases and transfer approvals you’ll be able to group them visually and automate routing to the right personnel to address them.

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Automatically flag tickets with potential compliance issues

Automate support ticket routing and send compliance-related customer support tickets to the right personnel to address them and mitigate risk for the business. Lang.ai’s robust routing engine seamlessly loops in all necessary parties to address urgent customer issues in the fastest and most efficient way possible.

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Generate insights from customer support data to inform roadmap and product operations processes

Lang.ai illuminates the customer's voice by providing a detailed lens that intelligently identifies key concepts and issues. Product organizations leverage this data to discover new opportunities for support and additional avenues for product enrichment.

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Your benefits after using lang

90%

Automate the ticket tagging process and increase operational efficiency and time savings by up to 90%

5m

The average time required to build a tag, this is critical for the ever changing financial services market

5%

The average percentage of tickets that require review from Risk Operations

In our customers’ words

Alberto foto

Alberto Iriarte

Strategy and Big Data Project Lead in the Office of the CDO, CaixaBank
Lang.ai has an impressive product that we saw early on could be used as an intelligence layer on top of all our free-text data to create our classification models.
The fact that they have such an accessible UI that our CX team loved was a great signal for us to buy it from the office of the CDO so that every business area can leverage it.

We’re also excited about how we’ve been working closely with the team on their governance roadmap as their goal of making NLP accessible is proving that the amount of users and projects can grow quickly.
How much can you save with Lang.ai?

How many support tickets do you receive monthly?

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1200
processes automated
500
agent hours saved
32000 $
cost saved
* Calculations based on...

Streamline your support operations

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