AI Agents
Discovery Express

Financial services & insurance

The contact center answers balances while collections wait.

Banks, fintechs and insurers run on a core nobody wants to touch and a contact center everybody complains about. Agents inside the core, the CRM and WhatsApp resolve tier 1 support, collect on time and keep every action auditable.

Pilot in production: 8 to 12 weeks, under a KPI Contract

A woman at a gas station in Mexico City at night looking at a declined card payment on her phone

Agent Library

Three agents we recom­mend

Reference architectures show typical targets, never a result.

Typical use cases

01Tier 1 support over WhatsApp and voice, resolved without a human agent on the line
02Collections and renewals with payment promises tracked in the core
Account ending 2210Illustrative
Customer Support Agent
  1. Customer

    What is my balance, and why was I charged a late fee?

  2. Core bankingAccount 2210 read: balance, last statement, late fee applied Aug 28. PII masked before the model call.

  3. Agent

    Your balance is $4,180.50. The $350 fee is for the Aug 25 payment, which posted on the 28th. First late payment in 12 months, so you qualify for a reversal.

  4. Customer

    Yes, request it. I can pay half on the 5th and half on the 20th.

  5. Core bankingPromise to pay registered: $2,090 on Sep 5 and $2,090 on Sep 20. Reversal queued for supervisor approval.

  6. Handoff to a person

    Reversal sent to a supervisor with the history and this conversation attached. Nobody asks the customer to repeat anything.

Illustrative thread built from the industry's typical flows, not a client conversation. DaCodes, Sep 2026.

Customer ops

Customer Support Agent

Tier 1 support on WhatsApp, voice, chat and email, inside your CRM. Measured on cost per ticket.

KPI it moves

$6.40 to $0.85 per ticket

In production

Revenue ops

Collections & Renewals Agent

Collections and renewals over voice, WhatsApp and email, with every promise to pay written to the core.

KPI it moves

Promises to pay kept

PilotMeasured in pilot

Legal & compliance

Compliance & Policy Monitor

Continuous policy screening of contracts, email and core records for finance, insurance and health.

KPI it moves

40 to 60% shorter contract review

Reference architectureTypical target
KPI sources
  • Customer Support Agent, Mexican fintech, 90-day pilot, Proof Ledger Sep 2026.
  • Collections & Renewals Agent, Pilot target set in the Blueprint and measured against your baseline during the pilot. DaCodes, Sep 2026.
  • Compliance & Policy Monitor, Typical target for a reference architecture, not a result. DaCodes, Sep 2026.
  • Maturity labels reviewed September 3, 2026.

Proof

The case behind the recom­mendation

Every figure sits in the Proof Ledger. When there is none yet, we say so.

Anonymized clientMexican fintechAgents

$0.85

cost per ticket, USD

from $6.40 before the agent

Financial services · México

From $6.40 to $0.85 per ticket

Verified by Proof Ledger, Sep 2026

Where the agent lives

Inside the systems you already run

Your system of record stays the truth. Nothing lives outside your cloud.

Channel order follows each market, WhatsApp first in México. DaCodes, Sep 2026.

Channels

  • Voice
  • Email
  • Web chat
  • WhatsApp
  • Internal apps
Customer Support Agent

Systems of record

  • Core banking
  • Policy admin
  • Salesforce
  • Zendesk
  • Payment gateways

Before every release

Every release passes the evals first

A new prompt or model reaches your customers only after it passes suites built from your own history.

Suites
Resolution, policy, tone, PII masking, escalation and cost, scored on every run.
Commitment gate
The KPI agreed in the contract, checked against what was measured.
Report
A weekly quality report your team reads, with the run that produced it.

Demo data, not a client operation. DaCodes, Sep 2026.

Evals · run 312
Demo data
  • Resolution accuracy
    96%
  • Policy compliance
    99%
  • Tone and language
    94%
  • PII masking
    100%
  • Escalation timing
    91%
  • Cost per run
    97%

Commitment gate

KPI 60% agreed · 63.8% measured · no drift in 14 days

DaCodes Evals · LangSmith · weekly quality report

Regulation

Regulation we design for

  • CNBV and CONDUSEF guidance on customer service and complaints (México)
  • LFPDPPP data protection (México)
  • PCI DSS when payments are involved
  • GLBA and state rules for U.S. clients
1

Approvals

Sensitive actions stop at a person you name.

2

Audit trail

Every read, write and escalation logged with prompt version, model and approver.

3

Data residency

Your AWS account, your region. PII masked before any model call.

Design inputs, not legal advice. Information security certified under ISO/IEC 27001:2022, December 2025.

FAQ

Questions from this industry

Yes, through the same APIs your teams use, with scoped permissions and every write logged. Refunds and limit changes go through a human approval step you define.

A complete trail: every read, write and escalation logged with timestamp, prompt version, model and approver, in your AWS account. Complaints get a folio inside the CONDUSEF response window you configure.

Yes. The platform runs in your AWS account in the region you choose, PII is masked before any model call, and the WhatsApp opener carries the LFPDPPP consent your legal team approves. Nothing trains a public model.

Other industries

All industries

Which process do we automate first?

Two discovery sessions, no cost, and you leave with two or three quick wins whether or not you build with us.

We reply in under one business day.

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