Maven AGI for Financial Services

Support in financial services is never just support. Maven resolves routine servicing end-to-end across chat, voice, and email, verifies the customer before it acts, and logs every step for the people who will ask about it later.

Trusted by leading companies

Why Financial Services Leaders Choose Maven AGI

Compliant by construction, not by review
Volume goes up. Headcount doesn't.
It works inside your stack, under your rules
Predictable behavior you can audit

Use Cases for Financial Services Teams

Financial workflows are multi-step, regulated, and unforgiving of a wrong answer. These four agents are just some examples of how Maven covers the volume, the onboarding, the product guidance, and the people handling everything that has to stay human.

Support Agent

Balance questions, transaction disputes, card locks, statement requests. Maven pulls the account, verifies the customer, completes what it's permitted to complete, and escalates the rest with the full record attached.

  • Pull balances, transactions, and account status
  • Authenticate customers for sensitive actions
  • Submit or update service requests in CRM systems
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Onboarding & Adoption

Applications stall on one missing document. Maven tells the customer exactly what's needed, checks the data as it arrives, enforces the KYC steps in order, and files verified information where compliance expects to find it.

  • Verify identity documents or data
  • Enforce KYC and CIP steps in sequence
  • Write verified data into CRM and compliance systems
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Agent Copilot

Fraud, disputes, and hardship cases stay with people. Maven works in the console beside them, assembles the case from every system, surfaces the policy that applies, and drafts the response, so the rep spends the call thinking instead of searching.

  • Assemble case history and alert detail in one view
  • Surface the governing policy mid-conversation
  • Draft responses and structured incident reports
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Product Discovery

Customers stall when they can't tell which account, card, or plan is right for them. Maven compares the options you actually offer, explains eligibility in plain language, and stays inside approved product language.

  • Compare products, rates, and eligibility requirements
  • Give advisors portfolio and account summaries on request
  • Answer only from approved product and policy content
Learn more

Training our old chatbot to respond to different support scenarios took hundreds of hours. Maven learned the answers from the moment it integrated with our systems.

Anthony Skilton from Exclaimer, shown in an illustrated portrait style.

Anthony Skilton

Operations and Systems Manager

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Maven’s ability to give our customers highly curated answers 24/7 is absolutely huge for us. Now, they get better, faster support, and our team has time back for high-touch tickets.

Tara Clark, illustrated portrait of a young woman with wavy hair and pearl earrings.

Tara Clark

Senior Client Support Manager

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Customer support is often a tradeoff between quality, speed, and cost. But with Maven, we don’t have to compromise. We can give our customers the very best support while keeping our team lean.

Jeff Ho

VP of Operations

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Just one week into the trial, rep solves per hour increased 25%. With increased efficiency on reactive operational support, we can invest more heavily in the proactive retention dollar activities.

David Doyle, illustrated portrait of a bearded man in a green shirt.

David Doyle

Head of Customer Support

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I initially thought the main benefit would be efficiency—fewer associates, faster ticket resolution. And while that happened, the overall impact was much bigger. The quality of our tickets improved significantly.

Illustrated portrait of a young woman with long blonde hair wearing a black jacket and gold earrings.

Stas Johnson-Chyzhykov

SVP, Customer Experience

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Maven AGI autonomously handles 90% of incoming queries allowing our support agents to focus on strategic initiatives, enhancing operational efficiency and customer satisfaction.

Rahul, a man in a blue blazer and glasses, shown in a illustrated portrait style.

Rahul Todkar

Head of Data and AI

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