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 · ContextAI Transformation · Banking, fintech and payments
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
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 programmeIf two of these are true, the rest of this page is about you.
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 · ContextWhat 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 · AgentsWhat it costsMissed deadlines and lost recoveries.
What changesCase files assembled from transactions and messages, with responses drafted before the deadline.
Agentic OS · FlowWhat it costsSenior staff in spreadsheets every reporting cycle.
What changesReports assembled from governed data, with evidence and approvals recorded.
Agentic OS · PulseWhat changes for each of the people who sign off.
Faster onboarding and lower cost per case.
Reviews that are faster and easier to defend.
Answers in seconds, from approved policy.
The capability on the left, what your team would notice on the right.
Applications and documents checked as they arrive, missing items requested, and the case pre-filled for an analyst.
Screening and monitoring alerts enriched with evidence and summarised for the analyst who decides.
Case files assembled from transactions and messages, with responses drafted before scheme deadlines.
Balance, card, payment and policy questions answered across chat, voice and messaging, with handoff to people.
Loan files checked for completeness and policy exceptions before underwriting.
Reports assembled from governed data with evidence, approvals and lineage recorded.
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.
Onboarding cases checked and pre-filled; payment exceptions triaged with context.
KYC and AML alerts enriched and summarised; every decision logged with its evidence.
Customer queries answered from approved policy, with handoff to a named person.
Reconciliations and regulatory reports assembled from governed data.
Contracts and complaints reviewed against policy; audit evidence collected as work happens.
Small, fixed and useful on its own. You decide after each step.
Operations, systems and data reviewed, and the first workflows ranked by value: usually onboarding, alert preparation or service queries.
The highest-value workflow live with a baseline, a named approver and an audit trail.
Disputes, chargebacks and regulatory reporting, on infrastructure your risk team approves.
No. They prepare cases and draft recommendations. Analysts and officers decide, and every decision is logged with its evidence.
We design for model risk management, audit trails, explainability and data residency from the start, and work with your risk and compliance teams throughout.
No. Agents run in your cloud or data centre, with private models where public AI services are not allowed.
With the AI Transformation Review. It names the first workflow worth handing to an agent, and what has to be fixed first.
Fixed-scope offers that fit this industry. Each has a set timeline and a deliverable you keep.
A signed AI policy, an agent inventory with risk tiers, and a plan to ISO/IEC 42001 readiness
AI that runs in your region, on infrastructure you control, behind one governed gateway
An agent that resolves common requests end to end in your CRM, and hands the rest to people with context
The services, tools and rules that matter most in banking, fintech and payments.
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.