Top 7 AI Platforms Helping Financial Companies Reduce Support Costs

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Acquiring a new customer often costs up to five times more than retaining an existing one. For financial businesses, this makes customer service a critical driver of retention, trust, and long-term value.

At the same time, customer support costs are rising. Clients expect faster responses, round-the-clock availability, and accurate answers, all while regulatory and service standards continue to increase.

AI-powered support tools help financial teams manage this pressure. They automate routine queries, streamline support workflows, and allow human agents to focus on complex cases and high-value customers.

If you’re looking to improve customer support while keeping costs under control, here are 7 AI platforms helping financial companies reduce support costs.

1. Crisp

Considering how advanced many of Crisp’s tools are, it may contain many AI features, but still remains easy to use.

Crisp‘s AI powered chatbot, for instance, which can be created without coding knowledge and deployed in multiple areas such as WhatsApp and SMS, and can respond in an array of languages, is one of the best in the industry.

Crisp’s chat functions integrate into a seamless, multiplatform inbox with live chat, email, and WhatsApp, and are financial compliant, so response speeds and communication standards are maintained across multiple platforms.

When AI features are scaled up to the advanced versions, there are also added features such as Conversation history and customer profiles which help agents provide better information.

Crisp is a good example of tools that help businesses scale up the support they provide without sacrificing quality, especially at the higher tier plans with advanced automation.

2. Zendesk AI

Zendesk has AI and Machine Learning tools built into its enterprise-grade support automation tools. No wonder fintech and insurance companies love Zendesk.

Zendesk automates the ticketing process by deflecting and categorizing common questions before they rip. That’s a huge cost advantage for financial services companies that receive and have to process a high volume of support requests inbound.

Because Zendesk integrates with most CRM and proprietary systems, support reps can access customer information and related support records. That’s a big plus in financial services where access needs to be quick, accurate and compliant.

There are tradeoffs with Zendesk. Its strong reputation comes with complexity. Customization and implementation can be lengthy, expensive and require a fair amount of technical resources. However, in the end, the costs are typically justified by the reputation, reliability and the extent of support automation the system has.

3. Intercom

Intercom has made a name for itself in fintech businesses for conversational AI support.

Financial businesses use Intercom to reduce customer support while keeping a modern response feel. Intercom can answer common questions, walk users through processes, and, if necessary, direct users to a customer support agent.

Intercom establishes a clear line of proactive support. If a user ever gets stuck on steps in an application or verification process, AI powered messages can be sent in accordance to user behavior to help users before they reach out to support.

Intercom can get very expensive, especially for fast-growing fintech businesses. Customer engagement and automation shows why Intercom is still a sought out option for businesses in the finance industry.

4. Ada

Ada is an example of a no-code AI chatbot platform that aims to optimize customer support interactions.

In addition to understanding customer cues (i.e. intents), Ada’s AI is designed to comprehend and process customer support issues without being forced to follow a specific and inflexible framework. This lowers support costs and improves resolution rates. Also, because the platform integrates with backend systems, customers can securely automate conversations to do things like check balances or update information.

Because of how self-service works, Ada is a good fit for finance team members trying to optimize support without increasing headcount.

It should be noted that regulated financial questions can be complex and may be a case where a lot of customization and testing is needed to be accurate and compliant. Even with this consideration, Ada improves operational costs and decreases the number of tickets when implemented correctly.

5. Freshdesk AI

Freddy AI-powered Freshdesk offers financial firms automation during support operations at a low cost.

In the case of support teams moving from manual to AI workflows, Freshdesk offers a moderate gradual increase in learning.

Freshdesk offers finance firms the ability to streamline support through one interface via email, chat, and social including response time automation. Customers’ Ordinarily, support demand decreases if teams solve primary problems, and AI insights help teams do that by identifying issues like recurring problems with billing and logins.

For small and medium-sized finance teams, the value and cost savings of Freshdesk are better than most of the competitors, though its AI technology is not as advanced as the others focused on enterprise customers.

6. Service Cloud Einstein

Salesforce’s Service Cloud Einstein provides AI-driven support to organizations already using Salesforce.

For financial services organizations using Salesforce CRM, Einstein automates predictions about customer needs, optimizing the next-best actions for agents which lowers handle time and increases first-contact resolution.

The intelligence that makes Einstein work comes from the data. Einstein uses the historical data it has to help support teams improve personalization, consistency, and compliance in their responses. This is especially the case in finance, where understanding customer history helps avoid mistakes and redundant contacts.

That said, the implementation of Einstein often calls for Salesforce know-how and considerable expenditure. Thus, it is most applicable to the larger financial services organizations that are already using Salesforce.

7. Tidio

Since Tidio combines customer service chat with AI chatbots, it’s a great fit for smaller fintech companies and financial service providers.

During peak periods and after hours, Tidio’s AI chatbots will be able to respond to frequently asked questions. This will lessen the burden on customer service representatives.

Another plus for Tidio is that it’s much simpler than other chatbots. It only takes a few minutes to set up Tidio, and in a matter of minutes teams can have some basic AI automation up and running without needing to implement any complex coding. Fintech companies will look at Tidio when needing to implement chatbots quickly and at a low cost.

Tidio is at the lower end of the spectrum when it comes to customer service AI chatbots, but it still is able to provide a serviceable chat AI.

Financial services companies must implement AI-based customer service solutions. They are no longer just for the larger tech companies. AI customer service chatbot solutions have become a necessity for financial services to lower costs and meet customer service needs. Choosing a customer service chatbot can be based on the company’s needs and future goals. This can range from enterprise-grade technology to more simplified, but still effective, solutions.

Financial teams get the most value when AI platforms are paired with people who already know how to run them. With Invedus, you can hire virtual employees trained on leading AI support platforms, ready to manage workflows, optimise automations, and support customers from day one. No hiring drag. No training overhead. Just measurable cost reduction.