Internal agents
Assistants connected to company tasks, data and tools.
AI consulting
We implement artificial intelligence inside real business processes.
We examine tasks, data, tools, permissions and responsibilities to design AI systems that can be used, supervised and measured. The objective is to improve a way of working, not add another isolated demonstration.
AI for business
What does an AI implementation with DRPP include?
It includes process diagnosis, use-case definition, architecture, information sources, integrations, human oversight, metrics and an adoption plan.
- Internal agents and assistants
- Corporate RAG and search
- Automation, roadmaps and governance
01 / Implementation
The process comes first. The tool comes later.
We define which task should improve, who will use the solution, what information it needs and how results will be measured. Only then do we select the right architecture and tools.
Corporate RAG
Reliable search and answers across internal knowledge.
Automation
Faster processes with rules, oversight and traceability.
02 / Outcome
Useful, measurable and governable systems.
Success is not an impressive demo. It is a solution that teams adopt and that improves time, quality, information access or decision-making.
FAQ
Frequently asked questions
Where should a company start?
Start with a specific process, identified users, available information and an improvement that can be measured.
Does DRPP only work with generative models?
No. A solution may combine generative models, rules, automation, search, integrations and analytics according to the need.
How is an AI implementation measured?
With process-linked indicators such as time, quality, errors, adoption, cost or decision-making capacity.
Content reviewed: 29 July 2026