financial operations

Automate collections and financial decisions

Recover more overdue payment and approve credit faster. AI agents negotiate, score, and flag inside the rules your risk team sets.

Collections desk

Early-stage queue · 3 accounts

Within policy

Arrangement

₱48,200 · 14 days past due

Promise to pay

₱12,050 × 4 · first on 30 Sep

Policy range

₱8,030 – ₱16,070 / mo

MinimumMaximum
  1. Reached on second attempt
  2. Identity verified
  3. Offer within policy
  4. Arrangement agreed
  5. Logged to CRM

Illustrative accounts. Anything outside the policy band, or any dispute, routes to a collections officer with the transcript.

  • AWS
  • OpenAI
  • IBM
  • Samsung
  • Cisco
  • EY
  • HSBC
  • J.P. Morgan
  • Klarna
  • Paperspace
  • Hugging Face
  • Unilever
  • Graphcore
  • Ada
  • Sentry

Let's pinpoint where revenue slips through

Your risk team sets the pace. Focus on one segment or alert type, then expand once results are clear.

01Discovery

We find where money is lost, such as missed payments and slow approvals, and put a number on each.

Use cases that recover revenue and reduce risk

AI Collections Agent

Call and message overdue accounts, negotiate a payment date inside policy, and log the promise to the CRM.

  • Outbound calls and chat
  • Payment-plan negotiation scripting
  • CRM outcome logging
Book a demo

Credit Engine

Score each application on declared and alternative signals against policy and return the decision to the core system.

  • Alternative income evaluation
  • Risk profiling and scoring
  • Core-banking decision API
Book a demo

Fraud & Compliance Monitoring

Watch transactions as they happen, apply the AML rules, and open an audit-ready case for the investigator.

  • Real-time anomaly detection
  • AML and compliance rules
  • Audit-ready case management
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Trusted where a wrong number costs money

We make sure everything stops the moment something looks wrong

  • Policy guardrails

    Negotiation and decision paths stay inside approved rules.

  • Human approval

    Edge cases and regulated decisions route to named owners.

  • Explainability

    Scores and alerts carry the factors and evidence behind them.

  • Identity boundaries

    Roles separate agents, reviewers, and system permissions.

  • Logging & tracing

    Every contact, model result, approval, and write-back is recorded.

  • Circuit breakers

    Unexpected behavior or service failure stops automated action.

More resources

The Philippine AI Report: Executive Brief

AI adoption is widespread. Scaling it is the harder task. Explore the leadership decisions, organizational barriers, and practical priorities that help Philippine businesses move beyond pilots.

The Philippine AI Report

A national benchmark of AI adoption across the Philippines. Explore the research, the policy and talent landscape, and comparisons with ASEAN peers—with a roadmap for moving from experimentation to scaled execution.

Scaling AI Across the Filipino Retail Value Chain

A closer look at AI across Philippine retail. Discover opportunities in demand forecasting, logistics, back-office operations, and customer experience—and the barriers retailers must address to put them into practice.

Bring us the financial decision that waits too long

Plan a pilot with us