← INDUSTRIES

BANKING, INSURANCE & FINTECH

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

Banking, insurance, fintech and asset management run on data, rules and decisions. AI does not change the product — it changes the speed, the consistency and the traceability of every decision.

THE STARTING POINT

Few industries hold this much information and have this little time to use it. A credit file, a claim, a compliance case or a portfolio review pulls together documents, systems and judgment that today are connected by people, not by process. AI fits here because the work already is reading, comparing and deciding.

And it fits badly when it is installed without control. In a supervised sector, a capability that cannot be explained or audited is not an advantage — it is exposure. So the work starts with where decisions are made and who answers for them, not with which tool to buy.

WHERE WE SEE OPPORTUNITY

The opportunity sits between the document that arrives and the decision that must be explained.

Loan origination and credit assessment

Prepare files, check completeness, cross-read documents, flag inconsistencies and hand the analyst a better structured case.

Operations around the core banking system

Assist with exceptions, incidents, reconciliation, adjustments and queries that today mean navigating several systems and procedures.

Fraud

Consolidate history, prioritise alerts and prepare the context that speeds up an investigation.

KYC, AML and compliance

Review documentation, retrieve internal policy and regulation, prepare evidence and leave a record of what was consulted.

Collections

Prioritise cases, summarise history and prepare the next action within defined policy.

Insurance

Order files, cross-check coverage and identify what is missing in underwriting, renewal or claims.

Claims and unrecognised charges

Retrieve transactions, channel, history and documentation to prepare the response.

Reconciliation

Compare sources, identify differences and prepare the corrections.

WORKFLOWS WE REDESIGN

Credit, claims and compliance change when the file arrives read—not decided.

• — Credit origination and assessment
• — Underwriting and policy renewal
• — Claims management
• — KYC, AML and ongoing monitoring
• — Regulatory reporting and internal audit
• — Customer service, collections and retention

WHICH TECHNOLOGY, AND UNDER WHAT CONTROL

If the system cannot cite what it read, it should not influence the decision.

Extraction over unstructured documents, retrieval over regulation and internal policy with the source cited, agents scoped to one step of the process, and a record of what the system consulted before it proposed anything. Human oversight is not a layer added afterwards: it is part of the workflow design.

WHAT GETS MEASURED

A faster file means little if nobody can explain why it was approved.

CYCLE TIME

How long a file takes from intake to decision.

FIRST-PASS COMPLETENESS

What share of cases reaches review with nothing missing.

REWORK

How often a case goes back a step.

EXCEPTIONS

How many there are, who resolves them and how fast.

TRACEABILITY

What share of decisions has a record of what they were based on.

These are the measures we propose for this industry, and the baseline is set before anything is built. We do not publish third-party results.

HOW BECOME CAN START

Start where volume is high and every exception still has an owner.

• 01 A BECOME NOW™ program with the risk, finance or legal team, on their own files.
• 02 A BECOME DISCOVER™ scoped to one process — origination or claims — to decide where the value is and which controls are required.
• 03 A BECOME EMBED™ on the prioritised workflow, with oversight and traceability designed in from the start.

CONTINUE HERE

RECOMMENDED SERVICE

BECOME DISCOVER™ — AI-Native Transformation Discovery

WHAT IS USUALLY BEHIND IT

• Redesign critical workflows
• Deploy governed AI agents
• Measure and govern AI value

ENABLEMENT BY AREA

• AI applied to Finance
• AI applied to Legal, Compliance & Risk

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

Start with the decision that takes too long today.

Bring us one file, the decision it enables and the controls still checked by hand. We will identify what AI may prepare, what must remain under professional judgment and how evidence stays traceable from intake to decision.