← INDUSTRIES

BANKING, INSURANCE & FINTECH

The advantage is not having more data. It is making better decisions with it.

Financial institutions already operate with extensive data, policies and controls. The opportunity is to reduce the distance between information and action without weakening traceability, risk controls or human accountability.

THE STARTING POINT

Most of the friction does not sit inside the core system. It sits around it: incomplete files, alerts without context, exceptions moving between teams, reconciliations that require comparing sources.

BECOME works on those points to connect data, documentation, policy, people, LLMs and agents inside a process that stays traceable.

WHERE WE SEE OPPORTUNITY

Where AI can create value.

Credit file preparation and decision support

Fraud investigation and unrecognized-transaction analysis

KYC/AML knowledge and case support

Collections prioritization

Claims and service-case triage

Reconciliation and exception handling

Policy and procedure knowledge

Insurance reimbursement and guarantee-letter workflows

Customer operations and back-office support

WORKFLOWS WE REDESIGN

Where the work starts.

WHAT BECOME CAN DO HERE

From the opportunity to a capability the company can operate.

Credit decision copilot

BECOME EMBED™

Prepares a traceable view of customer information, policy criteria and missing evidence before human decision-making.

Fraud investigation assistant

Brings together transaction context, alerts, policies and prior cases to support faster review.

Reconciliation agent

Matches records across sources, identifies exceptions and routes unresolved cases.

Compliance knowledge assistant

Knowledge intelligence

Retrieves internal policy and regulatory guidance with source references and access control.

Claims operations assistant

Structures documents, identifies missing information and supports routing without replacing accountable decisions.

WHICH TECHNOLOGY, AND UNDER WHAT CONTROL

AI can prepare a decision. It should not hide how it got there.

Enterprise knowledge retrieval, RAG and grounded responses, API integrations, permissions and auditability, human review for consequential decisions, evaluation against known cases, and traceability by source and action.

WHAT GETS MEASURED

What we measure.

CYCLE TIME

MANUAL HANDLING

EXCEPTION RATE

REWORK

DECISION CONSISTENCY

ESCALATION RATE

ADOPTION BY ROLE

Every initiative defines its baseline and its metrics before anything is built. Client results are published only with context and authorisation.

HOW BECOME CAN START

Where to start.

CONTINUE HERE

RECOMMENDED SERVICE

BECOME DISCOVER™ — AI-Native Transformation Discovery

WHAT IS USUALLY BEHIND IT

ENABLEMENT BY AREA

THE METHOD

TECHNOLOGY

Vendor-neutral by design.

We don’t start with a model or a vendor.

We select technology based on the use case, data, risk level, architecture and your organization’s standards.

Depending on your approved environment, a solution may combine ChatGPT/OpenAI, Claude/Anthropic, Gemini/Google, Microsoft Copilot, other LLMs, APIs and enterprise tools.

Technology changes. Capability should remain.

OTHER INDUSTRIES

The question is the same. The answer changes.

Mining & energy

Retail & consumer goods

Travel & hospitality

Explore AI opportunities in financial services.

Tell us which decision, process or experience needs to change. We will help you identify the right starting point.