An AI for the whole company, under your control.
In plain wordsAI assistants connected to your internal knowledge, with hosting and data flows adapted to your security requirements.
The challenge
Your employees already use public AI tools, sometimes with company data. Meanwhile, the answers they need are scattered across thousands of documents, intranets and systems.
- Company data pasted into public AI tools
- The same questions answered again and again by HR, IT or support
- Hours spent searching documents and intranets
- Sales teams without quick access to the right information
What we set up
A secure internal AI environment
An AI assistant for all your employees, hosted in your environment or with a provider you approve, under your rules.
Connected to your documents and systems
Intranet, document bases, CRM, ERP, tickets: answers come from your sources, and access rights are respected.
HR assistant
Answers employees’ questions on leave, benefits and internal rules, and passes sensitive cases to the HR team.
Internal support
First-level answers for IT and business support, with escalation to the right team.
Search across thousands of documents
Questions asked in plain language, answers given with the source and the exact passage.
Assistant for sales teams
Meeting preparation, product information and answers to tenders, drafted from your approved content.
Your data stays under your control
Security is part of the design from the very first day.
No training on your data
Your data is not used to train public models: services configured for it, or open-source models hosted with you.
Access rights respected
Each person only gets answers from the documents they are allowed to see.
Hosted where you decide
In your cloud, on your servers, or with a provider you approve.
Traceable
Questions, sources used and answers are logged, for audit.
Examples of use cases
Typical assistants we deploy.
Answering employees’ HR questions
- Context
- HR answers the same questions on leave and benefits every day.
- Outcome
- An assistant answers from your HR policies, with the source. Sensitive cases go to the team.
Finding an answer in thousands of documents
- Context
- Engineers and consultants spend hours searching procedures, reports and past projects.
- Outcome
- They ask in plain language and get the answer with the passage and a link to the document.
An approved alternative to public AI tools
- Context
- Employees paste company data into public AI tools.
- Outcome
- An internal environment just as easy to use, with rules, rights and logs. Usage moves to a controlled tool.
Preparing sales meetings
- Context
- Sales teams gather information from several tools before each meeting.
- Outcome
- A brief prepared from the CRM, past exchanges and product information, ready to review.
Expected results
- Answers in seconds, with their source
- Company data kept out of public tools
- Teams freed from repetitive questions
- One secure environment instead of scattered tools
From a first assistant to the whole company
- 01
Choose the first use
A team, a set of documents, a clear need: where an assistant will be used every day.
- 02
Connect your sources
Documents and systems connected, with access rights and a security framework approved by your IT.
- 03
Test with users
Quality measured on real questions, sources checked, adjustments made.
- 04
Roll out
Deployment team by team, training, and follow-up of usage and quality.
Included in every project
What comes with every projectData
Gathering, cleaning and structuring your data. It is the foundation of every AI project that works.
Security & compliance
Data under your control, hosting on your premises possible, traceability and controlled access. The GDPR, Japan’s APPI and Hong Kong’s PDPO are taken into account, and we adapt to your own security requirements and audits.
Operations & quality evaluation
Monitoring in production, measurement of the quality of the AI’s answers, guardrails, continuous improvement and cost control.
Training & handover
Training for executives and teams in AI, transfer of skills, documentation.
Which team needs answers first?
Tell us where your teams lose time searching, and what data is involved. We will propose a first assistant and its security framework.