Top 10 AI agent solutions for financial services contact centers in 2026

AI agents for financial services let banks, credit unions, and lenders resolve routine servicing, lending, and collections conversations around the clock. That keeps human agents free for the moments that need judgment, like a hardship request or a disputed charge.

Not every AI agent is built equal. Some are strongest at autonomous voice, some at CRM-led digital service, and some at banking-specific chat. Few contact center AI platforms unify AI agents with the guidance and quality assurance (QA) that human agents rely on.

To help you pick the right one, we'll evaluate the top AI agent solutions for financial services contact centers in 2026. We're Cresta, the AI operating system for CX (customer experience), so this ranking is our editorial view, with tradeoffs noted for every vendor. But first, let's align on how AI agents typically work in financial services.

What is an AI agent for financial services contact centers?

An AI agent for financial services contact centers is software that understands requests, acts in connected systems, and hands off to humans when needed. In one conversation, it can authenticate a caller, look up an account, and set up a payment.

Banks often call this agentic AI in banking. Forrester describes these platforms as able to "reason, plan, take actions, use tools, and coordinate workflows" toward a goal with some autonomy.

An AI agent for banking works best as part of a wider plan. Automation alone isn't enough, so the strongest AI agents for banks start with why customers call, then automate only the conversations that suit it.

AI agents vs chatbots vs agent assist

These tools sound alike, but they do different jobs. A chatbot follows a script, an AI agent completes the task, and agent assist helps a person complete it.

Conversational AI for banking is the umbrella term for these tools. Cresta offers AI Agent and Agentic Assist on one platform. The same knowledge and rules apply whether an AI agent or a person handles the conversation.

Why financial services raises the bar

Financial services conversations carry legal weight. A wrong answer about a fee, a missed disclosure, or a careless payment step can harm a customer and draw a regulator's attention.

Here's how the main US rules and frameworks shape AI in banking and lending:

The gap in model risk guidance doesn't mean less scrutiny. Banks should still expect examiners to ask how AI agents are governed, and apply their own controls.

Some conversations should go to a person by design. Cresta sorts conversations into buckets, and each one calls for a different approach:

• Conversations that shouldn't happen: fix the root cause, like a confusing statement, so the contacts go away
• Routine conversations: automate balance checks, payment dates, and card activations with an AI agent
• High-emotion conversations: keep hardship, disputes, complaints, and suspected fraud with a person, guided by AI
• Missing conversations: use AI for proactive reminders and outreach that aren't feasible at human scale

In AI debt collection, cease-and-desist requests belong in the human group too. The agent should spot these moments and transfer with full context.

At a glance: top AI agent solutions for financial services

This table compares each enterprise AI agent platform on the criteria that matter most in a regulated contact center. "Confirm with vendor" means our research didn't verify the capability, not that it's missing.

Related: Best AI agents for customer experience

The best AI agent solutions for financial services contact centers

Each entry covers an overview, who it's best for, key capabilities, considerations, and proof where we could verify it. Capabilities are described as each vendor presents them, so test them in your own environment.

This list is Cresta's editorial view, not an independent ranking. We've placed Cresta first and aimed to give every vendor a fair read.

1. Cresta

Cresta is the AI operating system for CX: one platform for human and AI agents that analyzes, automates, and augments customer conversations. It brings together AI Agent for voice and digital channels, Agentic Assist, Conversation Intelligence, and Opera, a no-code orchestration engine.

According to Cresta, AI Agent automates financial services conversations across onboarding, service, and collections. Cresta also offers a dedicated collections solution for teams evaluating an AI collections agent.

Best for: banks, lenders, and fintechs that want AI agents and human agents governed by one platform

Key capabilities:

• Built from your conversations: models are trained on each customer's own conversation data, so agents reflect how your team resolves real requests
• Layered guardrails: system-level guardrails, supervisory models, and real-time monitoring keep the AI agent inside approved policy
• Testing before launch: teams test agents against realistic simulated customers and edge cases before customers hear them
• Handoff with context: Agentic Assist gives the receiving person full context and live guidance, so customers don't repeat themselves
• Checks on every conversation: Conversation Intelligence evaluates disclosure accuracy, compliance, and service quality across human and AI conversations
• Follow-through after the call: Deputy Agent, a long-running AI agent built for CX operations, automates work from intent to completion

Considerations:

• Enterprise focus: Cresta is built for enterprise contact centers, so smaller credit unions may find it more platform than they need
• Outbound scoping: teams should scope outbound and collections use cases with Cresta before launch, given consent and disclosure rules
• Shared ownership: one platform works best when CX, QA, and compliance teams agree on shared rules early

Proof: According to Cresta's case study, Snap Finance adopted Cresta for multi-channel service and quality and compliance monitoring on every call. It also added a chat agent to shift calls to digital. Propel Holdings, a fintech lender listed on the Toronto Stock Exchange, uses Cresta across customer service, loan origination, and collections, including AI Agent for chat.

Cresta also reports it was named a Leader in The Forrester Wave™: Conversation Intelligence Solutions for Contact Centers. To see how Cresta handles your own servicing, lending, and collections conversations, request a demo.

2. NiCE (CXone and NiCE Cognigy)

NiCE CXone is a CCaaS (contact center as a service) suite, meaning cloud software that runs a contact center's voice, digital, and workforce operations. NiCE describes CXone as a platform that "unifies data, AI agents, and orchestration."

NiCE acquired Cognigy, which builds generative and conversational AI agents for voice and chat. Cognigy is available within CXone and as a standalone product, and NiCE's financial services page highlights pre-built compliance solutions.

Best for: institutions standardizing on a full CCaaS suite

Key capabilities:

• Suite breadth: routing, AI agents, and orchestration sit in one CCaaS platform
• Cognigy AI agents: generative and conversational AI agents run across voice and chat
• Deployment choice: buyers can use Cognigy inside CXone or on its own
• Banking content: Cognigy lists AI agents for finance and banking

Considerations:

• Configuration effort: suite breadth can mean more setup and more modules to manage
• Separate evaluations: buyers should evaluate Cognigy and CXone components separately and confirm how they share data and rules

Proof: NiCE says NiCE Cognigy was named a Leader in The Forrester Wave™: Conversational AI Platforms For Customer Service (2026). Gartner includes NiCE Cognigy in the 2026 Gartner® Magic Quadrant™ for Conversational AI Platforms.

Related: NiCE CXone alternatives for contact centers

3. Kore.ai

Kore.ai sells an enterprise agentic AI platform for customer service and employee productivity. Its site lists solutions for banking, wealth management, and insurance.

One Kore.ai customer story describes treasury and trade banking operations remodeled with AI voice agents, human AI assistance, and automation. The customer isn't named.

Best for: teams that want a configurable agent platform with banking templates

Key capabilities:

• Agentic AI platform: teams build AI agents for customer service and internal staff on one platform
• Industry solutions: offerings target banking, wealth management, and insurance
• Voice and human assistance: Kore.ai describes AI voice agents working alongside AI help for human staff

Considerations:

• Build effort: platform breadth means your team or a partner does more design and configuration work
• Voice validation: test voice quality and response speed in your own telephony environment
• Limited public proof: we couldn't verify a named financial services customer on the pages we reviewed

Proof: Kore.ai reports it was named a Leader in The Forrester Wave™: Conversational AI Platforms For Customer Service (2026). Gartner also includes Kore.ai in the 2026 Gartner® Magic Quadrant™ for Conversational AI Platforms.

Related: Kore.ai alternatives for contact centers

4. Sierra

Sierra builds a single AI agent that works across chat, SMS, WhatsApp, email, voice, and ChatGPT. Its financial services page covers consumer banking, mortgages and lending, insurance, and wealth management.

Sierra's approach centers on the customer-facing agent. That makes it a strong candidate when autonomous digital service is the main goal.

Best for: digital-first lenders and fintechs focused on autonomous customer-facing agents

Key capabilities:

• One agent across channels: the same agent runs across messaging, email, and voice
• Lending coverage: use cases span consumer banking, mortgages, lending, insurance, and wealth
• Data protection: Sierra says it keeps personal data encrypted and masked at all times

Considerations:

• Agent layer focus: human agent guidance and QA come from other tools
• Separate records: running separate systems can split AI and human conversations into different audit trails

Proof: Sierra's financial services page includes stories about Rocket Mortgage and SoFi.

Related: Sierra AI competitors

5. ASAPP

ASAPP calls its CXP "the agentic CX platform for financial services." It says its AI resolves fraud alerts, disputes, card issues, and onboarding end to end. ASAPP adds that it does so with guardrails, permissions, and an audit record.

Its products include GenerativeAgent, Human + AI, Voice, and Observe. The human-in-the-loop design keeps people involved alongside the AI agent.

Best for: large card issuers and banks with heavy servicing volume

Key capabilities:

• Financial services workflows: ASAPP targets fraud alerts, disputes, card issues, and onboarding
• Human-in-the-loop design: its Human + AI product pairs the AI agent with human oversight
• Risk controls: guardrails, permissions, and an audit record are built for risk teams

Considerations:

• Scope check: confirm which voice and analytics pieces you'd use from ASAPP and which stay in your current stack
• Dispute boundaries: if you automate disputes, define exactly when contested cases move to a person

Proof: ASAPP's financial services page cites an unnamed top digital bank. Its homepage quotes Tangerine Bank in Canada.

Related: Top ASAPP alternatives

6. Genesys Cloud CX

Genesys Cloud CX is a CCaaS platform with AI built in. Genesys says its virtual agents are "built and iterated within the same platform that runs voice, digital and workforce operations."

For banking, Genesys also lists Agent Copilot and AI-powered QA. That gives existing Genesys customers a path to AI without adding a new vendor.

Best for: institutions already running Genesys

Key capabilities:

• Native virtual agents: AI agents live in the same platform as routing and workforce tools
• Agent Copilot: real-time help for human agents during live conversations
• AI-powered QA: automated quality review inside the Genesys platform

Considerations:

• Ecosystem tie: AI depth is strongest when you run the full Genesys stack
• Announced features: some newer AI tools have been announced ahead of release, so confirm what's available today

Proof: We didn't verify a named US financial services customer on Genesys's official pages, so ask for references in your region.

Related: Genesys alternatives

7. Salesforce Agentforce

Salesforce Agentforce is a CRM-led platform for building autonomous AI agents. A CRM (customer relationship management) system stores customer records and history, so agents can act on that data directly.

Salesforce offers Agentforce for Financial Services and Financial Services Cloud. It says its financial services software "pairs humans with agentic AI."

Best for: institutions where Salesforce is the system of record

Key capabilities:

• CRM context: agents work with customer records already in Salesforce
• Financial services editions: Agentforce for Financial Services and Financial Services Cloud
• Voice options: Salesforce lists Agentforce Voice and contact center products

Considerations:

• Salesforce-centric: the platform is strongest when Salesforce already holds your customer data
• Contact center depth: validate voice quality, telephony integration, and QA of AI conversations

Proof: Gartner includes Salesforce in the 2026 Gartner® Magic Quadrant™ for Conversational AI Platforms. We didn't verify a named financial services contact center customer.

8. Google Cloud (Gemini Enterprise for CX)

Google Cloud's contact center AI is now Gemini Enterprise for Customer Experience, formerly Customer Engagement Suite. Google calls it an agentic solution that brings shopping and customer service together on one interface.

It includes Customer Experience Agent Studio for building agents and Customer Experience Insights for analysis. It's a build-your-own platform from a hyperscaler, meaning a large cloud provider.

Best for: banks with strong in-house AI engineering on Google Cloud

Key capabilities:

• Agent building tools: Agent Studio lets teams design and deploy custom agents
• Conversation analytics: Customer Experience Insights analyzes customer conversations
• Cloud foundation: fits banks already running data and AI work on Google Cloud

Considerations:

• Retail-first launch: it launched with a focus on retailers and restaurants, and we found no financial services offering
• Controls to build: disclosures, handoff rules, and compliance checks are largely the buyer's to design

Proof: Google says it has been named a Leader in the Gartner® Magic Quadrant™ for Conversational AI Platforms for consecutive years, and Gartner includes Google in the 2026 report.

9. Kasisto (now part of Backbase)

Kasisto built conversational AI for banking, and Backbase acquired it in June 2026. Backbase calls Kasisto "a pioneer in agentic AI for banking and financial services."

Its assistant runs across chat, messaging, and voice surfaces. Kasisto is now part of Backbase's banking platform.

Best for: banks focused on digital banking assistants

Key capabilities:

• Banking-specific AI: built for banking and financial conversations
• Multiple surfaces: chat, messaging, and voice
• Backbase connection: now part of Backbase's broader banking platform

Considerations:

• Roadmap tied to Backbase: ask how the product will evolve inside Backbase
• Less of a contact center platform: routing, human agent guidance, and QA come from elsewhere
• Fit for lenders: may suit banks more than credit unions or fintech lenders seeking a contact center platform

Proof: The CFPB's chatbot issue spotlight noted that Kasisto provides financially focused chatbots for JPMorgan Chase and TD Bank.

10. PolyAI

PolyAI is an enterprise voice AI company. It calls its product "the agentic dialog platform." Its financial services page lists account management, authentication, and billing and payments.

PolyAI is built for the phone. That focus makes it a natural fit for service lines where most customers still call.

Best for: voice-heavy service lines

Key capabilities:

• Voice-first design: built for phone conversations
• Finance use cases: account management, authentication, billing, and payments
• Security claims: PolyAI lists certifications including PCI on its financial services page, so verify them in its trust materials

Considerations:

• Voice-only focus: digital channels and human agent tooling come from other vendors
• Separate QA: plan how AI calls and human calls will be reviewed together

Proof: Gartner includes PolyAI in the 2026 Gartner® Magic Quadrant™ for Conversational AI Platforms. We didn't verify its placement or a named financial services customer.

Related: PolyAI alternatives

Evaluation checklist for financial services AI agents

A strong AI agent platform does more than answer questions. It stays inside policy, proves what it said, and passes the hard cases to people.

Look for these must-have features:

• Real-conversation training: the agent learns from your own transcripts, including edge cases
• Guardrails: limits on what the agent can say and do, enforced in real time
• Pre-launch testing: simulation and adversarial testing, meaning deliberate attempts to break the agent, before launch
• Disclosure checks: automated checks for required disclosures on every human and AI conversation
• Card-data handling: payment details are masked and kept out of transcripts and recordings
• Required handoffs: sensitive moments transfer to a person with full context
• One audit trail: AI and human conversations share one record for auditors and examiners
• QA of AI agents: AI agent conversations get scored with the same rubric as human agents

Once you've narrowed down your list, ask each vendor the following questions:

• Ask: "How do you build the agent from our conversations?" Hope for a process that starts with your transcripts and top agents' behaviors
• Ask: "How do you test the agent before launch?" Hope for simulated and adversarial conversations, with results your risk team can review
• Ask: "How do you check disclosures on AI and human conversations?" Hope for automated checks on every conversation, using one rubric
• Ask: "What happens when a customer mentions hardship or fraud?" Hope for an immediate transfer, with a summary and live guidance for the person
• Ask: "How do you keep card numbers out of transcripts?" Hope for redaction at capture, plus PCI DSS evidence you can review
• Ask: "If we use an AI collections agent, how do you handle consent and calling windows?" Hope for outbound rules that your compliance team approves
• Ask: "Who monitors live AI conversations?" Hope for real-time oversight, plus the ability to pause or roll back a change
• Ask: "How does a QA finding change what the agent and our people do next?" Hope for one rule that updates guidance, scoring, and coaching

That last answer matters most over time. When one conversation record powers live guidance, QA scoring, and coaching, a rule built once deploys everywhere, and each insight improves the next conversation.

How to choose the right AI agent solution

The right choice depends on what you already run and who'll own the AI agent. Start with your architecture, then match the vendor to it.

Credit unions often run leaner teams, so weigh how much build work each option needs. AI for credit unions tends to work best when the vendor takes on more of the setup and testing.

Whichever enterprise AI agents you shortlist, follow these next steps:

• Map contact drivers: learn why members and customers contact you before choosing what to automate
• Pick low-risk use cases: start with routine requests like balance questions or payment dates
• Pilot on real conversations: test the agent on your own transcripts, then expand once QA confirms quality

Final thoughts

Shortlist AI agent vendors by architecture and governance, since a polished demo won't show how an agent behaves on a messy hardship call. Ask where the agent learns, how it's tested, and how one audit trail covers AI and human conversations.

Keep people on the high-emotion moments, like hardship, disputes, and fraud. Let AI agents take the routine work, and let AI help your people behind the scenes on everything else.

Our recommendation is simple. Cresta fits teams that want AI agents and human agents on one governed platform. If you're deeply invested in a CCaaS suite, a CRM, or a cloud provider, the vendors tied to those systems deserve a close look too.

Automate financial services conversations with Cresta AI Agent

Cresta AI Agent resolves routine servicing, lending, and collections conversations, then hands off to people with full context. Agentic Assist and Conversation Intelligence keep every human and AI conversation on one governed record. See how it works on your own conversations.