AI-Enhanced Knowledge Access

Harnessing the Power of Language Models

AI is transforming how companies and their staff access their information. With Large Language Models (LLMs), employees can not only search their knowledge databases more efficiently, but also get customised answers to their queries based on specific datasets.

At Sopra Steria, we believe that LLMs are a game-changing technology that will reshape both our internal processes and our customer relations.


Company-specific conversational agents

Companies are increasingly demanding bespoke conversational agents, like ChatGPT, but tailored to individual enterprises or specialised domains. By creating a company-specific source dataset, companies can ensure their data security and increase the quality of responses offered, as they rely on their propriatory insight and service offering.

It is no longer just about finding the right documents or web pages. It is about precisely defining the question in context, and providing complete, straightforward answers. This makes searching faster, simpler and much more user-friendly.

How can Advanced Search help companies?

  • Customer Support Automation: LLM-integrated AI chatbots provide round-the-clock support, reducing costs and enhancing customer satisfaction.
  • Improved Search Relevance: By understanding user queries in depth, LLMs deliver more relevant search results, leading to a superior user experience.
  • Enhanced User Engagement: Accurate search results drive higher user engagement, frequent site visits, and potential revenue growth.
  • Efficient Knowledge Retrieval: LLM-based search tools empower employees to swiftly locate internal resources, boosting organisational productivity.
  • Personalisation: Analysing user behavior enables LLMs to deliver tailored search results, enhancing user experience and conversion rates.
  • Multilingual Support: LLMs support multiple languages, enabling businesses to cater to a global audience seamlessly.
  • Chatbots and Assistants: LLM-powered chatbots offer instant, enhanced customer interactions, optimising support costs and satisfaction.
  • Data Analysis: LLMs extract valuable insights from textual data, guiding business strategies and decisions.

Knowledge Access in action

We have vast experience creating and modifying solutions to meet the needs and budgets of our clients.

To ensure clients smoothly and quickly leverage knowledge access tools, we have created a number of turnkey solutions that can be delivered as a service to any company, regardless of model or infrastructure setup, and adapted to suit all requirements.

Our solutions have been proven in-house, across a variety of use cases. Here are just a few examples.



Using natural language interface, RUBA (PURE) helps accountants and financial services staff monitor new banking regulations published by the Banque de France.



  • Timely and cost-effective compliance monitoring
  • Quicker resolution of compliance issues


Tech stack

Google Cloud Platform, Vertex AI Search and Conversation

Leveraging best-in-class LLMs, we help our clients transform raw data, such as financial data and technical issue logs or weather data, into value-generating insight and reports.

  • Combine multiple sources into customised reports
  • Quick and cost-efficient insight generation

Tech stack

Amazon Web Services, LangChain, AI21 labs, Anthropic



Combining SmartSearch - our in-house ML-powered advanced knowledge search solution - with best-in-class LLMs to provide a next-gen chatbot to help the 50,000+ corporations complying with the EU’s Corporate Sustainability Reporting Directive (CSRD).


Easier navigation of CSRD regulations

Quicker compliance and lower the compliance burden

Improve risk management

Tech stack

SmartSearch, InnerData, Meta AI, Llama 2, OpenAI GPT-4

Sopra Steria Next, the Group’s consulting division, already uses a LLM to assist their advisory teams:

Past project research Search project database to identify past assignments, reusing gained knowledge

Write / Edit pitches Synthesis of past Call for Tender responses for structure and content, reducing preparation time

Gather topic-specific knowledge Analyse and collate insight from previous project deliverables to improve project planning

To go further

As banks look to use generative AI, can they move quickly enough?

Banks must rapidly embrace generative artificial intelligence to stay competitive amid tech disruption 

AI on the inclusivity frontline

Artificial Intelligence’s has the power to combat inequalities, but only if we work to identify and address existing biases.

How AI is powering support services for EDF employees
World leader in low-carbon energy generation EDF wanted an innovative tech solution to ease pressure on IT support teams while also boosting service quality. AMY was the answer. 
Read more

Further reading

Generative AI – A $100bn market by 2028 according to Sopra Steria Next
According to a study carried out by Sopra Steria Next, the generative artificial intelligence (GenAI) market is set to grow exponentially between now and 2028.
Read more