AI & TRUST / INTELLIGENCE FOR BUSINESS

Connected intelligence
Data under control

AI is a cross-disciplinary capability in our innovation work. We integrate it into projects and develop AI-based business software to connect people, information and processes in a coordinated environment

Swiss serversNo-retention AI architectureGDPR by design
Explore AI for your business ↓
01 / THE TECHNOLOGY WE WORK WITH

Processing capability
Attention to data

The quality of an AI solution also depends on how the information entrusted to it is handled

Our reference architecture uses Swiss servers and is designed not to retain request content at the AI processing layer. This technology underpins our project work and the development of business applications

CG Research connects technology with the need: defining the use case, structuring requirements, coordinating development with the technology specialists involved and assessing the solution’s usefulness in its actual context

02 / THE FOUNDATIONS OF TRUST

Architecture matters
Terms must be defined

01

Swiss infrastructure

Swiss servers underpin the reference architecture, with service scope and processing locations defined for each implementation

02

No retention at the AI layer

Processing designed not to retain request content. Its scope also requires verification of logging, caching and backup policies for the services used

03

Data protection & GDPR

Minimisation, roles, access and processing terms are considered from the design stage and assessed for the specific solution

04

Control & oversight

AI outputs are used with defined validation criteria, usage limits and responsibilities, particularly when they affect business decisions and activities

Server location and no-retention processing are architectural elements. GDPR compliance concerns the full processing operation and requires technical, organisational and contractual assessments for each project

03 / AI-BASED BUSINESS SOFTWARE

A connected business
A 360° view

We design software environments that connect business functions and bring information, activities and people together

THE STARTING POINT

Tools that do not talk to each other

Duplicate files, scattered information, repeated data entry and manual hand-offs between applications

DocumentsCustomersTasksIndicators
THE PROJECT OBJECTIVE

A coordinated environment

Connected processes, role-based access to information and AI capabilities integrated into everyday work

PEOPLE + PROCESSES + DATA + AI

The objective is to overcome fragmentation and replace redundant tools. Where a system needs to remain, we assess integration: the choice depends on functionality, data, technical constraints and business obligations

04 / FUNCTIONS TO CONNECT

AI within the workflow
Across the business

Explore a map of functions that can be designed. Modules are defined around the business’s needs and do not represent a preconfigured standard product

Leadership & oversight

A coordinated view of the business

Connect objectives, data and activities to give leadership a usable basis for decisions

  • Dashboards built around agreed indicators
  • Information summaries across business functions
  • Support for reviewing variances and priorities
Operations & processes

Fewer disconnected hand-offs

Coordinate activities and responsibilities, identifying where automation and AI could reduce repetitive work and duplication

  • Workflows and task assignment
  • Progress states and hand-offs between functions
  • Automations to define and validate for the process
Customers & business development

Connected commercial information

Bring customer knowledge, opportunities and commercial activities into a shared workflow

  • Management of contacts, opportunities and follow-up actions
  • Support for preparing proposals and documents
  • Connection between customer requests and internal activities
Documents & administration

From documents to action

Organise documents and administrative steps, connecting them with processes and tools that need to remain in operation

  • Assisted document search and classification
  • Support for information extraction, comparison and summaries
  • Assessment of integrations with business and administration systems
Knowledge & people

Make company knowledge accessible

Make procedures, instructions and knowledge available to authorised people, with references and controls

  • Assisted access to company documentation
  • Role-based organisation of access and content
  • Support for training and knowledge transfer
Quality & innovation

Connect improvement and development

Connect evidence, issues and improvement initiatives to inform new projects

  • Structured collection of observations and findings
  • Support for comparing hypotheses and alternatives
  • Coordination of development activities, reviews and documentation
05 / THE DATA PATHWAY

Processing does not mean
retaining everything

01

Authorised information

Required data, purposes and authorised users are defined

02

AI processing

The reference architecture provides Swiss servers and processing without retaining content at the AI layer

03

Controlled results

Business software may retain the documents and results the company chooses to keep, under defined access and retention rules

Two distinct layers

No retention by the AI service does not mean deleting the company’s operational data. Documents, records, activities and results may require application-level storage for business use: retention periods, access and deletion are defined separately

06 / FROM NEED TO SOFTWARE

The platform starts
with how you work

  1. 01

    Map

    Processes, tools, data and issues to connect

  2. 02

    Design

    Priority modules, architecture, access and controls

  3. 03

    Prototype

    An initial concrete scope with validation criteria

  4. 04

    Connect

    Planned integrations and data migration

  5. 05

    Validate

    Functionality, adoption and outcomes against objectives

Explore our method ↗
07 / QUESTIONS ABOUT AI & DATA

Clarity before
implementation

Can we replace every business application?

The objective is a unified environment that removes duplication and redundant tools. Full replacement is assessed for each case: some systems may require integration, continuity arrangements or specialist functionality that must remain

Does the AI retain the information it receives?

The reference architecture is designed not to retain content at the AI layer. Before activation, we define the actual service scope, including logging, caching and backup policies, and distinguish the data that business software needs to retain

Do Swiss servers automatically mean GDPR compliance?

Location is one element of the architecture. Compliance depends on the full processing operation: purposes, data, roles, technical measures, organisation and supplier agreements are assessed for the specific solution

Do these conditions also apply to this website’s contact form?

The contact form uses Formspree, a service separate from the project AI infrastructure. Enquiries are stored in its dashboard and forwarded to CG Research’s inbox, as described in this website’s privacy information

Data-protection framework references: European Commission — GDPR · Website privacy

DESIGN YOUR NEXT STEP

Which tools would you like
to bring together?

Tell us how your business works today and where information or activities become fragmented. We start with processes to assess an AI-based software environment with defined objectives, architecture and controls

Let’s discuss your business ↗
FROM SIGNAL TO OPPORTUNITY

Where could AI help your business?

Clarify your needs before choosing a technology or solution

Discover your need 8 questions · No registration