Services / AI & Data Services
AI & Data Services
Specialist artificial intelligence and data consulting consulting for businesses
At CGC we combine data strategy and governance, Business Intelligence, process automation and artificial intelligence to help you make decisions with consistent information and improve your operations. From assessment to go-live and adoption by your teams.
Data and artificial intelligence challenges
We turn data and AI into sustainable decisions and processes.
What we see
Scattered data
Unintegrated sources, uneven quality and unclear ownership.
What we bring
Data governance
Owners, quality criteria and traceability to work with consistent information.
What we see
Reports that don't add up
Indicators and definitions that change from one area to another.
What we bring
Business Intelligence with common indicators
Data models and dashboards that let you analyse the business with shared criteria.
What we see
Manual processes
Repetitive tasks that take up time and make tracking difficult.
What we bring
Process automation
Flows and applications that reduce manual work and make each task easier to control.
What we see
AI without a prepared data foundation
Use cases without quality information or data governance.
What we bring
Production-ready AI
Use cases connected to your data, with evaluation, monitoring and human oversight.
What we see
Unintegrated regulatory requirements
Data and AI projects that need privacy, security and governance criteria.
What we bring
Privacy and AI governance by design
We build the applicable requirements into the project and coordinate their review with those responsible for security and compliance.
What we see
Tools that go unused
Solutions that do not fit the way teams work.
What we bring
Adoption and autonomy
Training, documentation and support to use and evolve the solutions implemented.
Artificial intelligence and data services
Data strategy and governance
We define a data strategy aligned with business priorities. We establish owners, data quality policies, a catalogue and traceability so your organisation can find, understand and use its information. The result is a data governance framework with criteria shared across areas.
Power BI and Business Intelligence consulting
Our Power BI and Business Intelligence consulting connects data with business questions. We unify indicators and definitions, design data models and build dashboards to analyse activity with shared criteria. We also define how to govern, maintain and evolve the solution.
Data engineering and integration
We connect your organisation's information sources and automate the flows that take data from its source to applications and analytics. We design integration processes with data quality controls and traceability to reduce manual tasks and keep information up to date.
Data architecture and platforms
We design the data architecture your analytics and artificial intelligence projects need. We define how to organise, integrate and serve information on cloud platforms, with data warehouse, data lake or lakehouse models according to usage, security and growth requirements.
Artificial intelligence and advanced analytics
Our data analytics consulting starts from a business question: what you need to predict, segment, classify or detect. We select and evaluate the right models and integrate them into your processes, monitoring their performance and setting criteria to maintain and review them.
Generative AI and AI agents for business
We develop generative AI solutions for businesses on their own information: assistants, document search and support for analysis and writing tasks. We design AI agents that can carry out tasks in the organisation's systems, with defined permissions, evaluation of results and human oversight.
Intelligent automation with Power Platform
We combine intelligent automation and Power Platform consulting to improve your organisation's processes. We create flows and applications that connect tasks, teams and data, with governance and monitoring criteria. We prioritise use cases according to their business value and support their roll-out.
Data and artificial intelligence adoption
We help your teams bring data and artificial intelligence into their daily work. We tailor training to each profile and support the use of the solutions with documentation and operating criteria, so that the organisation can maintain and evolve them.
From data to AI in production
What your organisation needs to make the most of its data and artificial intelligence
Generative AI for business and advanced analytics need data suited to the use case, an architecture that makes it accessible and evaluation criteria. That is why we start by understanding which decision or process you want to improve and what information you need to do so.
Data governance and quality as the starting point
Data governance defines who is responsible for information, how it is documented and what quality is required for each use. Catalogues, lineage and quality controls help identify errors and work with traceable data. This foundation makes it easier to evaluate the results of analytics and artificial intelligence.
Generative AI and AI agents connected to your information
Generative AI assistants can consult documentation, summarise information and support team tasks. Retrieval-augmented generation (RAG) makes it possible to bring the organisation's sources into their answers. AI agents add the ability to carry out tasks in other systems. Their design must take into account permissions, data controls, evaluation and human oversight.
Data architecture and process automation
A data platform connects the sources used by dashboards, analytical models and applications. On that foundation, process automation brings information into day-to-day work. In each project we define what data the process needs, which tasks are automated and which controls must be maintained.
AI governance and team adoption
The AI governance framework establishes owners and criteria to evaluate, use and oversee solutions. It is complemented by security measures, privacy review and training tailored to each team. Adoption is addressed from within the project, with documentation and support so that people can use what has been implemented.
At CGC we connect data strategy, analytics, automation and artificial intelligence to take use cases into operation, with owners, monitoring and support for your teams.
Case studies
Banking
Business Intelligence and AI centre of excellence
Definition and launch of a centre of excellence to develop dashboards and applications for the company's business areas.
A common framework to drive analytics and automation.
Investment fund
Data strategy and governance for a Data CoE
Definition of the data governance and management framework for the launch of a centre of excellence.
Common responsibilities and criteria for working with traceable data.
Banking
Risk process automation with Power Platform
Development of applications with Microsoft Power Platform to support non-financial risk analysis.
Automated analysis processes to support risk management.
Insurance
Data governance and quality for the insurance sector
GDPR compliance and definition of a data governance and data quality model focused on Solvency II.
A data management model geared to the project's requirements.
Let's talk about your data or artificial intelligence project
Tell us whether you need to organise your data, build dashboards, drive process automation or implement AI solutions. We will put you in touch with the right CGC team to assess your project.
Certifications