Customer stories

The problems we solve. Industry by industry.

How Raptas approaches the work our customers bring us, from capital returns to ransomware. Named customer stories are published here with each organization's approval, with the source behind every number.

See the use cases

Eight industries. The work, the approach and the value.

Each scenario is illustrative: a typical challenge in the sector and how the products carry it. Customer names, quotes and measured results appear only in approved stories.

BankingIllustrative scenario

Capital and provisioning on one record

The challenge
Capital, IFRS 9 and operational-risk numbers are assembled in spreadsheets each quarter, and every audit question means rebuilding how a figure was produced.
How Raptas approaches it
Capital, liquidity and regulatory returns move into one system of record; exposures are staged and provisioned with their model and approval kept; loss events and KRIs feed the same view.
The value
Returns that can be traced to the input, a quarter close that is a run rather than a reconciliation, and audit questions answered from the record.
Microfinance & NBFCsIllustrative scenario

Bank-grade provisioning for a small-loan book

The challenge
Hundreds of thousands of small loans, cash and mobile-money flows, and a regulator that expects the same provisioning and AML discipline as a bank.
How Raptas approaches it
Staging and ECL run across the whole book at once; monitoring rules are set for cash-heavy and mobile-money activity; branch audits are planned by risk with evidence kept against each test.
The value
Provisioning the regulator can follow, alerts sized to the team that works them, and branch findings tracked to closure.
InsuranceIllustrative scenario

Claims, premiums and the AI behind them

The challenge
Financial crime hides in high-volume claims and premium payments, operational risk is hard to quantify, and AI now prices policies and triages claims.
How Raptas approaches it
Claims and payments are screened and monitored with every alert taken to a decision; operational risk is captured against appetite; every underwriting and claims model is inventoried, assessed and guarded.
The value
Fewer unexplained payouts, operational risk expressed for capital, and AI decisions the insurer can explain to a policyholder or regulator.
Capital MarketsIllustrative scenario

Financial crime and operational risk across the trade lifecycle

The challenge
Client and counterparty screening, operational-risk events across front, middle and back office, and trading systems that cannot go dark.
How Raptas approaches it
Screening and monitoring land in one queue with the case trail kept; loss events and KRIs are captured against one appetite; the SOC watches trading infrastructure from one console.
The value
One defensible record per alert and incident, risk measured the same way across desks, and threats contained before they reach the trading day.
FintechIllustrative scenario

Controls that keep pace with growth

The challenge
Growth outpaces controls: partner banks and regulators ask for evidence, the API and cloud attack surface grows with every release, and AI ships inside the product.
How Raptas approaches it
Security operations and evidence run from one console; onboarding and payments are screened and monitored; every model and AI feature is inventoried with guardrails at runtime.
The value
Audit and partner due diligence answered from evidence already collected, financial-crime controls that scale with volume, and AI features that pass review.
TelecommunicationsIllustrative scenario

Find the cause of an outage before subscribers do

The challenge
A service degrades after a night of network and IT changes, the evidence is spread across teams, and the SOC is watching a flood of alerts at the same time.
How Raptas approaches it
AI agents trace the incident across logs, alerts, changes and topology and show every step; the SOC works one correlated queue; customer-care GenAI runs under guardrails that keep subscriber data out of prompts.
The value
Outages traced to their cause from evidence rather than a bridge call, a SOC that keeps up with the estate, and AI the operator can explain.
GovernmentIllustrative scenario

Public-sector AI that can answer an inquiry

The challenge
Citizen services run on ageing, interconnected systems under constant attack, and AI is being adopted faster than oversight bodies can review it.
How Raptas approaches it
Every AI system is registered, risk-assessed, approved and its decisions logged; threats are detected and contained from one SOC; IT incidents are investigated by agents that show each step.
The value
Inquiries answered from the record, services that stay available, and data that stays inside the agency's own infrastructure.
HealthcareIllustrative scenario

Contain ransomware without stopping care

The challenge
Ransomware and outages stop clinical operations, patient data spreads across facilities and third parties, and AI is entering clinical and administrative workflows.
How Raptas approaches it
Threats on clinical systems are detected and contained by playbook with human approval; outages are diagnosed from evidence across logs and changes; patient data is kept out of AI prompts.
The value
Care that carries on while one system is isolated, HIPAA evidence collected as work happens, and AI adopted without exposing patient data.

How an engagement runs. From the obligation to operations.

The same sequence applies whether the work starts with a product or a problem. The detail changes with your regulator, your data and your systems.

Timelines and costs depend on scope, data and integrations. We set them out in writing after discovery; this page makes no delivery or savings claim.

01

Discovery

We start with the obligation and the work as it is done today: the report your regulator expects, the controls in place, and the systems that hold the data. Scope and success criteria are agreed before configuration begins.

02

Configure

We configure the product to your frameworks, report templates, risk taxonomy and approval routes. Pre-built modules are adapted to your obligations, not rebuilt from scratch.

03

Validate

We test against your own data and a defined set of cases. Your risk, compliance and audit teams review the calculations, alerts and audit trail before anything goes live.

04

Go live

We move the agreed scope into production with your IT and security teams, covering access, integrations, data residency and the operating model.

05

Managed operations

Optional 24/7 managed operations: monitoring, triage, run support and a named route for changes. Or your team runs it, with our support behind them.

What every customer story shows. The same structure every time.

A customer story is only useful if you can trace it. Each one we publish follows the same structure, and every number carries a source.

Where an organization cannot be named, we will describe it by type and region, with its approval.

SectionWhat it must show
The obligationThe regulation, report or risk the team was accountable for.
The starting pointThe systems, spreadsheets and manual steps in place before the engagement.
What was configuredThe modules, frameworks and integrations used, with exact product names.
The evidenceThe calculation, alert or audit trail that shows how a result was produced.
The outcomeThe result the organization measured, with its source and date.
The approvalThe organization's approval to publish, and how it chose to be described.

Start with the problem in front of your team. We will show you how we would approach it.

A regulatory obligation, a risk program or a security operation. We begin with discovery, then walk through the product against your own requirements.

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