Your questions about AI
AI for business raises many expectations, but also many preconceived ideas.
We sort them out.
AI for business
Artificial intelligence opens up new perspectives for organizations, but also raises many questions. Discover our answers to the most frequently asked questions about AI as applied to the business world.
To unleash your company's full potential with AI, contact us and find out how we can turn your challenges into growth opportunities.
General questions about AI :
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What is AI and how does it work in a business context?
Artificial Intelligence refers to the set of technologies that enable machines to learn, reason and act autonomously. In a business context, AI analyzes large quantities of data to automate tasks, optimize processes and generate strategic insights that facilitate decision-making. It can be integrated into existing business tools to increase their efficiency tenfold.
What does AI have to offer SMEs?
AI offers many tangible benefits to VSEs and SMEs:
- Automation of repetitive administrative tasks (data entry, filing, etc.)
- Optimizing operational processes and reducing costs
- Personalizing services and products for a better customer experience
- Predictive analysis to anticipate market trends
- Decision support through intelligent data processing
- Significant reduction in human error on complex or repetitive tasks
- Productivity gains enabling teams to refocus on higher value-added activities
What are the differences between general AI, generative AI and specialized AI?
- General AI (or strong AI) remains theoretical and aims to reproduce human intelligence in its entirety.
- Generative AI creates original content (text, images, video, code) from training data. It includes models such as GPT, Midjourney or Stable Diffusion.
- Specialized AI (or weak AI) is designed to meet a specific business need, such as predictive analytics, fraud detection or logistics optimization.
The solutions deployed in today's companies are mainly based on generative and specialized AI.
AI integration in business:
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What are the common challenges of integrating AI into small businesses?
The main challenges faced by SMEs include :
- Lack of in-house expertise in data science and AI
- Estimating and controlling implementation costs
- Resistance to change among employees
- Complex integration with existing information systems
- The quality and availability of the necessary data
- Ethical and compliance issues (RGPD, algorithmic biases).
- Lack of strategic vision on the application of AI
Our support aims to overcome these obstacles through a pragmatic, step-by-step approach.
Where do I start adopting AI in my company?
We recommend a 5-step approach:
- Initial diagnosis: Identify the business processes that would benefit most from AI
- Proof of concept: Quickly test a solution on a limited perimeter
- Upgrading skills: training teams in appropriate concepts and tools
- Gradual roll-out: Extend use after validation of initial results
- Measuring impact: Regularly assessing the benefits obtained
This agile method minimizes risk while guaranteeing tangible results in the short term.
How do you assess the return on investment of AI projects?
The ROI of an AI project can be assessed on several dimensions:
- Quantifiable productivity gains (time saved, errors avoided)
- Increased sales (new services, better retention)
- Lower operating costs
- Enhanced customer and employee experience
- Competitive advantage and innovation
We set up specific performance indicators for each project to measure these benefits precisely.
AI solutions and technologies:
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Are there affordable AI solutions for small businesses?
Yes, the market today offers many AI solutions accessible to VSEs/SMEs:
- SaaS platforms natively integrating AI functionalities
- Generic tools such as ChatGPT, Claude or Midjourney with affordable professional plans
- Sector-specific solutions (retail, healthcare, industry, etc.)
- Open-source frameworks for customized development
- AI connectors for existing business software (CRM, ERP, etc.)
Our expertise lies in identifying and adapting these solutions to your specific needs.
What opportunities does generative AI offer for small businesses?
Generative AI is transforming many aspects of SME operations:
- Communication: generation of personalized, multilingual marketing content
- Creation: production of graphic elements, designs and visual aids
- Customer support: virtual assistants and intelligent chatbots
- R&D: accelerating product innovation and testing
- Development: assistance with programming and debugging
- Sales: personalizing sales pitches
- Data analysis: simplifying data exploration and visualization
These solutions give SMEs access to capabilities previously reserved for large enterprises.
Which business sectors can benefit most from AI?
All sectors can benefit from AI, with varied applications depending on business specificities:
- Sales & distribution: sales forecasting, inventory optimization, customer personalization
- Professional services: document automation, contract analysis, business intelligence
- Industry & manufacturing: predictive maintenance, quality control, production optimization
- Health & well-being: diagnostic assistance, patient follow-up, administrative management
- Finance & insurance: fraud detection, scoring, compliance automation
- Real estate: precise estimates, virtual visits, optimized rental management
- Logistics & transport: route optimization, demand forecasting, traceability
Our approach is to tailor solutions to the specific challenges of your sector.
Support and financing :
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How does Gorillias support companies in their AI-driven transformation?
We provide support in several complementary areas:
- Strategic consulting to identify AI opportunities aligned with your objectives
- Training teams in appropriate technologies and methodologies
- Design and development of customized solutions or integration of existing tools
- Change management to ensure adoption and maximize impact
- Continuous performance monitoring and optimization of deployed solutions
We act as a long-term partner in your digital transformation, with a pragmatic, results-oriented approach.
What public funding is available for AI projects?
There are several funding schemes available to support your AI projects:
- IA Booster France 2030: program dedicated to accelerating the adoption of AI
- Innovation Tax Credit (CII) for SMEs developing innovative solutions
- Specific regional aid for digital transitions
- PIA 4 (Programme d'Investissements d'Avenir) for collaborative projects
- Bpifrance: innovation loans and support for digital transformation
- FEDER digital at European level
Our team can help you identify and put together the right financing package for your situation.
How to overcome resistance to change when adopting AI?
Change management is crucial to the success of your AI-enabled transformation:
- Transparent communication on objectives and expected benefits
- Early involvement of employees in defining needs
- Training tailored to each user profile
- Progressive deployment with visible quick wins
- Enhancing skills rather than replacing them
- Personalized support for affected employees
- Creating a data culture conducive to innovation
Our support methodology integrates these human dimensions, which are essential to the success of your project.
Ethical considerations :
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How can we guarantee the ethics and compliance of our AI solutions?
Ethics and compliance are at the heart of our approach:
- Strict compliance with RGPD and sector-specific regulations
- Transparency about the algorithms used
- Detection and correction of potential biases in data and models
- Clear governance of data use
- Secure access and information exchange
- Applying the principles of responsible, human-centered AI
- Ongoing regulatory watch (including the future European AI Act)
We integrate these considerations right from the design stage of your AI projects.
Will AI replace my teams?
AI is not designed to replace employees but to enhance their capabilities:
- It automates low value-added tasks to refocus teams on strategic activities
- It acts as an intelligent assistant, amplifying human expertise
- It generally creates new roles and skills within the organization
- The most successful companies adopt a collaborative man-machine approach
Our support aims to develop this complementarity to create shared value.
How can we protect our confidential data when using AI tools?
Data protection is a top priority:
- Pre-audit of selected tools and suppliers
- Verification of terms of use and privacy policies
- Setting up private bodies where necessary
- Training users in best practices
- Anonymization or pseudonymization of sensitive data
- Access control and traceability of use
- Appropriate configuration of retention parameters
We'll help you select and configure the right solutions for your privacy requirements.
Any other questions?
Don't hesitate to contact us to discuss your specific needs. Gorillias experts will be happy to support you in your upstream thinking about integrating AI into your organization.
