AFP and Kairntech —
A dedicated AI assistant
for sales teams.
Over 100 sales reps. A constantly evolving product portfolio. Hours lost searching for the right information. See how AFP transformed its sales processes with a sovereign AI assistant, deployed in production.
150 countries
production
on-premise
AFP is a global news agency delivering fast, comprehensive and rigorously fact-checked information. With a unique network of journalists across 150 countries, it is also a world leader in digital investigation. AFP employs 2,600 staff of 100 different nationalities and produces multimedia content in six languages, blending video, text, photo and infographics.
A constantly evolving product portfolio.
Teams losing time searching.
AFP’s sales reps have to master a vast, frequently updated offering — while keeping a consistent, compelling message in front of clients.
An offering too vast to memorize
Sales reps navigate a constantly evolving product portfolio, with spec sheets, client presentations and sales arguments that change regularly.
Performance impact · Inconsistent messagingSearching for info eats into selling time
Finding the right information — the right figure, the right client testimonial, the right wording — meant opening ten tabs, digging through SharePoint or asking colleagues.
ROI impact · Hours lost every weekConfidentiality impossible with public LLMs
Submitting internal documents, client testimonials or sales strategies to ChatGPT or Gemini was an unacceptable risk for an organization of AFP’s standing.
Compliance impact · Risk of leaksAn AI assistant dedicated to sales.
On-premise deployment. Zero compromise.
Kairntech deployed an enterprise RAG platform powering a sales chatbot that answers sales queries and generates prospecting emails, drawing exclusively on AFP’s internal documents and client testimonials.
AI sales assistant — Real-time answers
The chatbot instantly answers sales teams’ questions: sales arguments, pricing, client testimonials, common objections — relying solely on AFP’s official documents, with the exact source cited for every answer.
On-premise deployment & full confidentiality
The entire solution is hosted on AFP’s secure infrastructure. No document, no client data ever passes through an external server — compliance guaranteed.
Low-code & autonomy for business teams
Kairntech Studio lets sales experts configure, update and optimize the chatbot with no IT involvement. New product document? Document update? The chatbot updates automatically.
Performance dashboard & continuously measured KPIs
A dedicated dashboard tracks interaction quality in real time: adoption rate, user satisfaction, average response time, answer relevance. Marketing teams can adjust the 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