Industries Financial services

Disclosures that say the same thing everywhere.

Fees, disclosures and dispute language have to match across every channel and every agent. FluentC translates each string once, so the wording is the same in chat, email and statements.

enYour statement is ready to view.

  • Chat agentIhr Kontoauszug steht zur Ansicht bereit.
  • Statement agentIhr Kontoauszug steht zur Ansicht bereit.
  • Voice agentIhr Kontoauszug steht zur Ansicht bereit.
Three agents, one translation. Illustrative example.
Agent flows

Two financial services flows, and where FluentC fits.

Example flows, not customer stories. The steps and text are illustrative.

Flow 1

Fee and dispute questions

A support agent answers customers in their language, using your policy text.

  1. Customer message
  2. Support agent
  3. Policy lookup
  4. FluentC, both ways
  5. Reply

Each agent on its own

Agents paraphrase fee terms in their own way, and a model upgrade can change the wording overnight.

With FluentC in the loop

  • Fee and policy phrases return identical wording from every agent and every model version.
  • Upgrade or replace a model without changing a word customers have already read.
  • Real-time answers inside the conversation, with repeats served from memory.
Flow 2

Statements and disclosures

Boilerplate and statements are translated in a nightly batch and sent for review.

  1. Source disclosures
  2. Nightly batch
  3. FluentC
  4. Compliance review
  5. Published

Each agent on its own

Every run phrases things slightly differently, so reviewers re-read documents they've already approved.

With FluentC in the loop

  • Reviewers read each string once. Later runs return the same wording.
  • Structure stays intact: JSON and HTML in, JSON and HTML out.
  • Repeated boilerplate is answered from memory.

A note on responsible use. FluentC isn't a certified translation service. Keep your compliance review in the loop.

Running several agents?

The same words, from every agent.

When each agent translates for itself, the same sentence turns up in several versions. With FluentC in the loop they all return one translation, whichever model is behind them.

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