AFP and Kairntech —
An AI assistant dedicated
to sales teams.
100+ sales representatives. A constantly evolving product portfolio. Hours wasted searching for the right information. Discover how AFP transformed its sales processes with a sovereign AI assistant, deployed in production.
150 countries
languages
data


AFP is a global news agency providing fast, comprehensive, and rigorously verified news coverage. With a unique network of journalists in 150 countries, it is also a world leader in digital investigation. AFP has 2,600 employees of 100 different nationalities and produces multimedia content in six languages, combining video, text, photography, and infographics.
A constantly evolving product portfolio.
Teams losing time searching.
AFP sales representatives must master a broad and frequently updated offering — while maintaining a consistent and compelling message in front of clients.
An offering too vast to memorize
Sales representatives navigate a constantly evolving product portfolio, with technical sheets, client presentations, and USPs that change regularly.
Performance impact · Inconsistent messagingSearching for info steals selling time
Finding the right information — the right figure, the right client testimonial, the right wording — required opening ten tabs, searching SharePoints, or asking colleagues.
ROI impact · Hours lost every weekConfidentiality impossible with public LLMs
Submitting internal documents, client testimonials, or commercial strategies to ChatGPT or Gemini posed an unacceptable risk for an organization of AFP’s stature.
Compliance impact · Risk of leakageAn AI assistant dedicated to sales.
On-premise deployment. Zero compromises.
Kairntech deployed a corporate RAG platform powering a sales chatbot that answers sales queries and generates prospecting emails by relying exclusively on AFP’s internal documents and client testimonials.
AI Sales Assistant — Real-time answers
The chatbot instantly answers questions from sales teams: Product USPs, pricing, client testimonials, frequent objections — relying solely on official AFP documents, with the exact source cited for every answer.
On-Premise Deployment & Total Confidentiality
The entire solution is hosted on AFP’s secure infrastructure. No document, no client data passes through an external server — compliance guaranteed.
Low-Code & Business Team Autonomy
Kairntech Studio allows sales experts to configure, update, and optimize the chatbot without IT intervention. New product document? Document update? The chatbot is updated automatically.
Performance Dashboard & KPIs measured continuously
A dedicated dashboard allows for real-time tracking of interaction quality: adoption rate, user satisfaction, average response time, relevance of answers. Marketing teams can adjust scenarios and optimize sales messaging based on real data.
Dive into the details
of the full deployment.
Architecture, challenges, technical approach, and key takeaways — everything you need to understand about this project before launching your own.
What you will discover
- The context and business challenges AFP faced
- The On-Premise RAG architecture chosen and why
- The deployed components
- The expected benefits and tracking indicators put in place
- The key differentiators of the Kairntech approach
We are here to help
A RAG chatbot solves the knowledge accessibility, accuracy, and efficiency challenges faced by businesses:
- Access to real-time, up-to-date information
- Efficient knowledge management & reduced employee search time
- Improved customer support & self-service
- Handling domain-specific & proprietary (and confidential!) data
- Reducing AI hallucinations & inaccurate responses
- Cost-effective scalability for enterprise knowledge
- Compliance & audit-friendly responses (sourced responses)
The chatbot can pull data from structured (databases, FAQs, manuals) and unstructured (PDFs, emails, news, medical records, audio, scientific articles, patents…) sources. Businesses should ensure data is clean and compliant with privacy regulations (e.g., GDPR).
The RAG chatbot should integrate via APIs with SharePoint, CMS/DAM repositories, CRM (e.g., Salesforce), helpdesk (e.g., Zendesk), or internal databases. This ensures seamless access to real-time data and improves workflow automation.
Key metrics include:
- Time savings on specific tasks (faster responses, text generation…)
- Accuracy (correct responses – that can be improved via user feedback)
- Engagement (number of users and queries handled)
- Cost savings (reduced human agent workload)
There are several ways to maintain and improve the chatbot over time:
- Regularly benchmark LLMs to select the most suitable one for the task
- Regular updates based on user feedback
- Monitoring performance logs is essential. A feedback loop with human agents helps refine responses and expand the knowledge base.
Ready to turn your documents into instant answers?
Stop letting your text data gather dust in complex folders. Deploy Kairntech’s intelligence and accelerate your decision-making today.
Request your personalized demo