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Trace

Trace provides voice, chat, and email AI customer service agents for fintech, banking, and insurance, with authenticated workflows that can take actions in connected systems.

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Trace AI customer service agent for fintech and banking

Product overview

What is Trace?

Trace is an AI customer service platform for fintech companies, banks, and insurers. Its agents can respond through voice, chat, and email, and are designed to do more than answer general questions. With authenticated access and connected APIs, an agent can complete workflows such as replacing a card, tracking a transaction, handling account lockouts, or supporting a dispute process.

The product is built for regulated customer-service environments where identity, policy compliance, data location, escalation, and action controls matter. Trace says agents can be hosted with a customer's existing cloud provider and can operate in multiple languages. Deployment still requires the institution to define allowed actions, authentication steps, policies, audit records, and human escalation paths.

How to Use Trace

  1. Select a narrow, high-volume support workflow with clear policies and measurable outcomes.
  2. Map the required systems, API permissions, identity checks, failure states, and human handoff rules.
  3. Provide approved product information, policies, scripts, and escalation criteria.
  4. Test the agent against normal requests, ambiguous language, fraud attempts, vulnerable-customer cases, and system outages.
  5. Launch in a limited channel or customer segment with full transcripts, action logs, and human supervision.
  6. Expand to additional actions and languages only after reviewing resolution quality, authentication failures, complaints, and regulatory obligations.

Never let a conversational response alone authorize a financial or account action. Require appropriate authentication, least-privilege API access, transaction limits, audit logging, and a safe path to a trained human agent.

Core Features

  • Omnichannel agents: Supports customer interactions through voice, chat, and email.
  • Action-taking workflows: Uses secure API connections to complete approved tasks in institutional systems.
  • Financial-service use cases: Covers transactions, card applications, disputes, complaints, fraud-related flows, and account lockouts.
  • Authentication controls: Can require identity verification before accessing or acting on customer information.
  • Policy-aware responses: Applies institution-specific rules and escalation conditions.
  • Human escalation: Routes cases that are sensitive, uncertain, or outside the approved workflow.
  • Multilingual service: Can support customer conversations in multiple languages.
  • Deployment flexibility: The vendor states that it can host with an institution's existing cloud provider to meet data-handling needs.

Use Cases

  • Answer transaction-status questions and guide customers through next steps.
  • Replace or manage payment cards after successful identity verification.
  • Support card applications and collect required information.
  • Triage fraud reports, disputes, and complaints according to policy.
  • Recover account access while enforcing authentication requirements.
  • Provide 24/7 first-line support across voice, chat, and email.
  • Offer multilingual customer service without maintaining separate workflows for every language.
  • Automate routine cases while escalating financial harm, vulnerability, or regulatory risk to humans.

Pricing

Trace does not publish standard self-service prices on its current website. Prospective customers are directed to request a demo or contact the company. Pricing is likely scoped around channels, interaction volume, integrations, deployment, languages, and support requirements; confirm commercial terms, implementation costs, service levels, and data-processing commitments directly with the vendor.

Frequently Asked Questions

Is Trace a general-purpose customer support bot?

No. It is positioned specifically for fintech, banking, and insurance workflows, including authenticated actions in connected systems.

Can Trace access customer data without authentication?

Trace states that its AI does not access user information without explicit authentication. Institutions should independently test identity flows, authorization boundaries, and audit logs.

Can it fully automate fraud or dispute decisions?

It can support and route these workflows, but high-risk decisions should follow institution policy, regulatory requirements, review thresholds, and human escalation.

Does Trace support voice?

Yes. Voice is a core channel, alongside chat and email, and the platform is presented as supporting multilingual conversations.

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