Integration of AI into existing tools
AI for Data
Our LLMs can create datasets, automatically label and format data, and provide summaries according to your needs for effective analysis.
AI and HR
Automated CV sorting speeds up candidate selection, analyses qualifications to optimise recruitment, and matches candidates to jobs.
AI and Digital Marketing / SEO
Our solutions integrate AI into digital marketing and SEO to automatically generate optimised content, target keywords effectively and analyse trends.
AI and Customer Assistance
Our AI integration services improve customer support with fast, personalised responses via chatbots and conversational interfaces, enabling effective management of requests.
Our Use Cases
# Help with CV selection
Type of use case : Decision support
Sector : HR
Increasing volumes of applications are making the selection process time-consuming. The integration of AI for CV sorting promises to speed up and refine the selection process, based on matching profiles to the company’s specific needs.
Objectives
- Automate CV sorting to quickly identify the most relevant candidates.
- Ensure objective, standardised assessment of skills.
- Reduce the time spent on the initial sorting of CVs, allowing recruiters to concentrate on higher added-value tasks.
Results
- Réduction de 70% du temps nécessaire au tri des CV grâce à l'automatisation.
- Increased recruiter satisfaction thanks to an optimised workload and improved selection processes.
Best practice
- Creation and meticulous preparation of a diversified data set for training the AI, ensuring effective recognition of the variety of CV formats and content.
- Implementation of a continuous feedback process to improve AI based on actual performance and feedback from recruiters.
Platform/ Technology
Use of commercial and open source generative AI models for advanced processing and analysis of CV text data.
Points of attention
To ensure compliance with the RGPD and other data protection regulations, maintain constant vigilance and systematically update privacy practices.
For more information on this use case, click here.
# SEO optimisation for digital marketing
Type of use case : Content generation
Secteur : Digital marketing
In an ever-changing digital environment, the integration of generative AI into SEO and digital marketing represents a major step forward. This technology offers the possibility of generating SEO-optimised content automatically, meeting the specific requirements of search engines while improving the efficiency of content creation.
Objectives
- Automate the generation of SEO-optimised texts.
- Improve the efficiency and productivity of content creation for digital marketing.
- Leverage the analytical capabilities of AI to effectively target keywords and emerging trends.
Results
- Over 200% increase in the production of optimised items per FTE.
- Over 300% increase in impressions in less than 90 days.
- Automated creation of EEAT content strategies over 30 days.
Best practice
- Provide AI with detailed context and precise guidelines for generating relevant, high-quality content.
- Use web plugins to enrich and update the content created by AI.
- Provide human supervision to validate and refine the content generated by the AI, ensuring its alignment with the brand strategy and SEO objectives.
Platform/ Technology
Implementation of YOAST SEO standards in Generative AI (with Web Scraping modules) and use of other tools such as WordPress.
Points of attention
- Adopt a cautious approach to automatic content generation in highly specialised areas, where human expertise is essential.
- Take care to avoid excessive SEO optimisation, which could compromise the quality and naturalness of the content.
For more information on this use case, click here.
Your questions about integrating AI into existing tools
FAQs
How can AI help manage data?
Our LLMs create and manage datasets, automatically label data, and provide summaries and reformatting for efficient analysis, improving data management and exploitation.
What role does AI play in CRM systems?
Our AI solutions for CRM personalise customer interactions, optimise engagement through tailored recommendations, and increase efficiency through task automation.
How does AI benefit human resources?
Automated AI facilitates the sorting of CVs for rapid and accurate selection of candidates, analyses qualifications to make the recruitment process more efficient, and provides an objective assessment of skills for a better match between candidates and jobs.
How is AI transforming digital marketing and SEO?
The AI in our digital marketing and SEO solutions automatically generates optimised content, effectively targets keywords and analyses trends to improve online positioning and visibility.
How does AI improve customer support?
Our AI integration services improve customer support by providing fast, personalised responses via chatbots and conversational interfaces, enabling efficient management of large-scale requests.
What are the main benefits of integrating AI into businesses?
The integration of AI offers numerous benefits, such as improved operational efficiency, reduced costs, more accurate decision-making and increased innovation across different business processes.