WAICE

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Industries / Banking & insurance

Controlled AI in one of the most regulated industries.

Banks, insurers, mutuals and brokers were among the first to invest in data. The challenge now is to deploy generative AI and agents while meeting DORA, the AI Act and supervisors' expectations. WAICE helps scope, integrate and run these uses.

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Challenges

What teams are dealing with.

Regulatory pressure

DORA, AML/CFT, Solvency II, Basel III: every new use must be justified and documented.

Legacy systems

Old core systems make every integration more expensive.

High request volumes

Claims, complaints and service requests take up a large share of team time.

Fraud risk

Fraud evolves quickly and requires ever more precise controls.

What WAICE brings

Five angles, one method.

Business

Customer relations, claims, compliance and risk

  • Complaint and claim handling
  • Adviser support
  • Compliance controls

Data & AI

Customer data, contracts, transactions and documents

  • Document extraction and checks
  • Fraud detection
  • Data quality and lineage

Infrastructure & applications

Banking and insurance core systems, often legacy

  • API integration
  • Application modernisation
  • Support and maintenance

Cybersecurity

Digital operational resilience and ICT third parties

  • ICT third-party risk management
  • Resilience testing
  • Security of generative AI use

Regulation & compliance

DORA, AI Act, AML/CFT, Solvency II, Basel III, national supervisors

  • Model risk management
  • Explainability of decisions
  • Documentation for supervisors

Creditworthiness assessment of individuals and pricing in life and health insurance are listed among the AI Act's high-risk uses.

Use cases

Where to start.

Assisted claims handling

Read claims and supporting documents, prepare the file and route it to the right process.

Measured by

  • processing time
  • handling cost
  • customer satisfaction

Adviser assistant

Give advisers sourced answers on products, contracts and procedures.

Measured by

  • response time
  • first-contact resolution
  • escalations

AML/CFT controls

Prepare alert analyses and case documentation.

Measured by

  • analysis time
  • false positives
  • case quality

DORA compliance

Map dependencies on ICT providers and keep the register of information up to date.

Measured by

  • register coverage
  • update lead time
  • audit findings

Team

Profiles we deploy.

IT profiles today, joined over time by business experts from each industry.

  • IT project manager
  • Business analyst
  • Business application developer
  • Data engineer
  • AI consultant
  • Risk and compliance expert

Transformation programmes

Start small, be ready to scale.

Our founder has worked on large-scale transformation programmes in international groups. WAICE starts with a controlled scope (one site, one function, one use case) and then scales up with a network of selected consultants and experts.

  • A first scope delivered within weeks
  • Governance designed for scale from day one
  • Teams built around your needs, IT and business

How we start

Four steps, at your pace.

  1. 01

    Diagnostic

    A one-hour or half-day session to qualify a use case, a risk or a decision.

  2. 02

    Scoping

    Scope, data, systems, regulatory constraints and success indicators.

  3. 03

    Delivery

    Development, integration and deployment, alongside your teams.

  4. 04

    Run

    Maintenance, support and continuous improvement, with clear service commitments.

Other industries

Aerospace & defence

Airworthiness, configuration, technical documentation: making AI useful where every decision must be traceable.

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Chemicals & petrochemicals

Seveso sites, process units, maintenance: securing operations and building on experience.

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Energy & critical networks

Grids, substations, generation: keeping AI maintainable in infrastructure that never stops.

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Logistics & supply chain

Ports, warehouses, transport: making flows, data and documents more reliable.

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Manufacturing

Production, quality, maintenance: connecting the shop floor with enterprise systems.

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Pharma & life sciences

R&D, quality, production: AI designed for GxP environments.

Explore the industry

Start with a concrete case.

Tell us about a decision, a process or a system you want to improve. We will tell you honestly whether AI is the right answer.

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