Pegasus Agentic OS
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AI Transformation · Banking, fintech and payments

Enterprise AI for onboarding, compliance and service.

For banks, lenders, fintechs, payment companies and money transfer operators: agents that onboard customers, prepare KYC and AML reviews and answer service queries, alongside AI for credit operations, disputes and regulatory reporting, with an audit trail on every action.

Where AI helps first

  1. OnboardingApplications pre-checked
  2. KYC and AMLReviews prepared for analysts
  3. DisputesCases assembled and drafted
  4. ServiceQueries answered from policy
  5. CreditFiles checked for completeness
  6. ReportingRegulatory reports assembled

Every agent action approved by a named person

Written for

COOs and heads of operations, Chief compliance and risk officers and Heads of customer service

The question you came with

Why does onboarding still take days, and why do compliance reviews pile up?

Part of Enterprise AI Transformation

Where it starts in banking and payments. The first work handed to agents: onboarding and document agent, alert and review preparation and disputes and chargebacks. Each one drafts or flags, and a named person approves.

See the whole programme

What breaks in banking and payments

If two of these are true, the rest of this page is about you.

01

Onboarding takes days of document chasing.

What it costsApplicants drop out, and acquisition spend is wasted.

What changesAgents check documents as they arrive, request what is missing and pre-fill the case for an analyst.

Agentic OS · Context
02

KYC and AML alerts pile up.

What it costsBacklogs, regulator attention and analysts drowning in false positives.

What changesAlerts enriched and summarised with evidence, so analysts decide faster and every decision is logged.

Agentic OS · Agents
03

Disputes and chargebacks are assembled by hand.

What it costsMissed deadlines and lost recoveries.

What changesCase files assembled from transactions and messages, with responses drafted before the deadline.

Agentic OS · Flow
04

Regulatory reports take weeks to compile.

What it costsSenior staff in spreadsheets every reporting cycle.

What changesReports assembled from governed data, with evidence and approvals recorded.

Agentic OS · Pulse

Your role

What changes for each of the people who sign off.

COOs and heads of operations

Faster onboarding and lower cost per case.

  • Time to onboard by product
  • Cases handled per analyst

Chief compliance and risk officers

Reviews that are faster and easier to defend.

  • Evidence attached to every decision
  • A full audit trail for regulators

Heads of customer service

Answers in seconds, from approved policy.

  • Common queries resolved by agents
  • Handoff with full context

What we build for banking and payments

The capability on the left, what your team would notice on the right.

  • Onboarding

    Onboarding and document agent

    Applications and documents checked as they arrive, missing items requested, and the case pre-filled for an analyst.

  • KYC and AML

    Alert and review preparation

    Screening and monitoring alerts enriched with evidence and summarised for the analyst who decides.

  • Disputes

    Disputes and chargebacks

    Case files assembled from transactions and messages, with responses drafted before scheme deadlines.

  • Service

    Customer service agents

    Balance, card, payment and policy questions answered across chat, voice and messaging, with handoff to people.

  • Credit

    Credit file checks

    Loan files checked for completeness and policy exceptions before underwriting.

  • Reporting

    Regulatory reporting

    Reports assembled from governed data with evidence, approvals and lineage recorded.

Enterprise AI in banking and payments, beyond sales

The same programme runs in operations, finance and service. These are the first workflows we usually see handed to agents. Each one drafts, checks or flags; a named person decides.

  • Operations

    Onboarding cases checked and pre-filled; payment exceptions triaged with context.

  • Compliance

    KYC and AML alerts enriched and summarised; every decision logged with its evidence.

  • Service

    Customer queries answered from approved policy, with handoff to a named person.

  • Finance

    Reconciliations and regulatory reports assembled from governed data.

  • Legal and audit

    Contracts and complaints reviewed against policy; audit evidence collected as work happens.

Where we start

Small, fixed and useful on its own. You decide after each step.

  • Weeks 1 to 3

    AI Transformation Review

    Operations, systems and data reviewed, and the first workflows ranked by value: usually onboarding, alert preparation or service queries.

  • First pilot

    One workflow in production

    The highest-value workflow live with a baseline, a named approver and an audit trail.

  • Then

    Disputes and reporting

    Disputes, chargebacks and regulatory reporting, on infrastructure your risk team approves.

Questions

Will agents make credit or compliance decisions?

No. They prepare cases and draft recommendations. Analysts and officers decide, and every decision is logged with its evidence.

Can this meet our regulators' expectations?

We design for model risk management, audit trails, explainability and data residency from the start, and work with your risk and compliance teams throughout.

Does our data leave our environment?

No. Agents run in your cloud or data centre, with private models where public AI services are not allowed.

Where do we start?

With the AI Transformation Review. It names the first workflow worth handing to an agent, and what has to be fixed first.

AI transformation for the agentic engine era

Start with a fixed-fee AI transformation review. We map your systems, data and teams against the six layers of Pegasus Agentic OS and name the first workflows to hand to agents. You keep the findings whether or not you work with us.