financial services

Move the case forward. Keep the decision accountable

Reduce the work between intake and a defensible decision. Swarm connects documents, policy, customer conversations, and risk signals so banks, lenders, insurers, and fintech teams can act faster with approvals and auditability intact.

Financial Services operations

Interactive workspace
Illustrative data · try the controls
  • AWS
  • OpenAI
  • IBM
  • Samsung
  • Cisco
  • EY
  • HSBC
  • J.P. Morgan
  • Klarna
  • Paperspace
  • Hugging Face
  • Unilever
  • Graphcore
  • Ada
  • Sentry

Start with the queue keeping a decision waiting

Define the business case before choosing the model. Start with one workflow, agree what success looks like, and connect it to the systems and people who own the outcome.

01Discovery

Choose one application, claim, or review queue. Map required evidence, policy checks, reviewer authority, and the cost of incomplete cases.

Decision and service loops built for control

Application, KYC, and claims intake

Classify the file, extract and validate fields, find what is missing, and post clean data to the system of record.

  • Documents classified into one case
  • Cross-file conflicts surfaced
  • Evidence ready for underwriting
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Collections and financial operations

Coordinate outreach, payment arrangements, risk signals, and CRM updates inside explicit operating policies.

  • Account context before contact
  • Policy-aware next actions
  • Traceable follow-up records
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Customer service agents

Resolve routine requests and transactions, then escalate complex cases with evidence and history attached.

  • Verified customer context
  • Grounded servicing responses
  • Escalation with case history
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Risk and anomaly intelligence

Detect unusual patterns, explain the relevant signals, and send decision-ready cases to risk teams.

  • Unusual activity surfaced
  • Supporting evidence in one view
  • An accountable review decision
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We make sure policy and people stay in charge of the decision

  • Policy guardrails

    Encode approved policy checks explicitly. AI prepares evidence and recommendations; authorized people retain consequential decisions.

  • Source attribution

    Reviewers can trace extracted values and summaries to the source file and supporting record.

  • Identity boundaries

    Restrict customer and case data by role, purpose, and system permissions across every handoff.

  • Logging & tracing

    Record the inputs, checks, proposed action, and reviewer response so the team can reconstruct what happened.

  • Human escalation

    Uncertain or incomplete cases go to an assigned person with the context needed to take over.

  • Data retention

    Agree what is stored, where it is processed, and when it is deleted before connecting production data.

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 case queue your team needs to clear

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