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FINANCIAL SERVICES

AI for financial services, under control

In a regulated environment, software, data and AI can help prepare cases, read documents or make signals visible. Sensitive decisions, rules and responsibilities remain to be defined with authorised teams.

01

A specific field

01

Prepare customer service

A tool can retrieve context, propose a response and route sensitive cases to a responsible adviser.

Human relay built in
02

Make fraud signals visible

Rules and models can prepare a review of transactions or unusual behaviour, with the elements needed for investigation.

Fraud caught in transit
03

Prepare risk analysis

Selected signals, their limits and their traceability can be presented to teams responsible for the decision.

Defined review evidence
04

Prepare KYC cases

Document extraction and checks can prepare a case. Ambiguous or consequential situations remain subject to review by authorised analysts.

Files built, humans rule
05

It reads documents

Contracts, policies, claims: information is extracted and structured. What resists goes to human review, not into the system.

Controlled extraction
02

What the field requires

01

Regulatory compliance

GDPR, PSD2, Basel, Solvency II and DORA can influence scope, access, traceability and validation. Applicable obligations are qualified with your compliance teams.

02

Data security

Encryption, access control, logging and hosting choices are defined according to your policies, data and applicable obligations.

03

Model explainability

The level of explainability, evidence and review paths is defined from the decision and the required controls.

04

Operational resilience

Availability, recovery and supervision needs are qualified with the teams responsible for a critical service.

03

A method that stays grounded

Work starts from the decision to prepare, data scope and required human controls. The tooling is then designed for that frame, without automating a sensitive decision by default.

  1. 01

    Perceive · Continuously

    Flows come in

    Transactions, documents, customer exchanges: the architecture plugs into your existing channels, inside your governance frame.

  2. 02

    Detect · In real time

    Anomalies surface

    Fraud, document inconsistencies and risk signals can be prepared for review with their source and useful context.

  3. 03

    Anticipate · Before the incident

    Risk projects itself

    Credit default, support saturation, portfolio drift: the system warns while the decision is still open.

  4. 04

    Decide · Under human control

    Decisions stay auditable

    Customer responses, escalations and transaction blocks remain assigned to responsible people and rules; the system can prepare context without replacing the decision.

What structures the work

  • 01Decision and responsibility map
  • 02Data and access rules
  • 03Preparation and review interface
  • 04Traceability proportionate to scope
  • 05Documentation for control teams
04

Field questions

NeuroVista, Paris

Your regulated ground, the same grammar

Tell us about a flow, case or decision to prepare, and the controls and responsibilities that must remain human.

Get in touch