−70% operational costs
High-Precision RAG
Build a high-precision RAG system with local LLMs for sensitive data.
AI SYSTEMS FOR BUSINESS
YOWE identifies where AI can create measurable impact in your business, then designs, secures and industrializes the systems needed to go from opportunity to production.
25 min · scoping · no commitment
From opportunity to production.
THE AI GAP
Many companies have already experimented with AI. A chatbot works. A RAG answers correctly. An agent runs a few tasks. A PoC shows potential value. But moving from a demo to a system you can actually run takes much more.
That's where YOWE comes in.
AI Opportunity Audit
Not every task should be automated with AI. The first step is to identify processes where AI can genuinely improve productivity, reduce costs, accelerate operations or increase team capacity. YOWE analyzes your processes, data, systems and constraints to surface the most relevant opportunities.
25 min · scoping · no commitment
Identify the AI use cases that truly deserve to be industrialized.
AI Opportunity Map
Haven't identified your use case yet?
25 min discoveryAlready have a PoC or an architecture?
Review my AI architectureUse cases
We design AI systems tailored to your processes and existing environment.
Automate complex operational processes and increase team capacity without multiplying manual work.
Turn your internal knowledge into systems that can search, understand and use information.
Put AI on top of your existing data to accelerate analysis, understanding and decision-making.
Increase the capacity of your technical teams with AI systems integrated into your tools and workflows.
How it works
A structured approach to turn an AI opportunity into a production-ready system.
We identify the processes, problems and opportunities where AI can generate measurable value.
AI Opportunity Map
We design the target architecture around the business problem, your data, your systems and your constraints.
AI Solution Architecture
We build and integrate AI systems into your existing environment.
An AI solution in production must be measured, observed and optimized continuously.
Once the first use cases are validated, we create the foundations to deploy AI at greater scale.
BUILT FOR PRODUCTION
The value of an AI system is not measured by the quality of a demo. It is measured by what it produces once integrated into real operations.
−70%
Operational costs
5h → 20min
Reporting time
>90%
Reduction in manual analysis effort
95%+
Prompt-injection vectors blocked
<50ms
Security-layer latency
ENGINEERING FOUNDATION
We select technologies based on the problem, your constraints and your existing architecture — not the other way around.
AI ECONOMICS
The cost of an AI system is not just the price of tokens. YOWE designs architectures that account for the real AI TCO: inference, models, infrastructure, storage, retrieval, orchestration, observability, security and maintenance.
Proof
Every project starts from a concrete problem: cost, time, security, reliability or operational capacity. Here are results from AI systems designed or industrialized by the YOWE team.
−70% operational costs
Build a high-precision RAG system with local LLMs for sensitive data.
Several hours → 5 minutes
Automate video analysis with AI to sharply reduce manual effort.
5h → 20min
Turn a 5-hour reporting process into 20 minutes.
We start from the business problem and expected value before choosing technology.
Architecture, security, observability, cost and operations are designed in from day one.
We don't stop at strategy: we design and build the systems.
We work with the technology ecosystem that fits the problem — without artificial vendor lock-in.
Train your teams on AI systems engineering: agents, context engineering, security, evaluation, orchestration and FinOps.
Insights
Architecture, economics, security and engineering for production AI.
L’agent écrit vite les 80 % faciles. Le coût réel se joue sur les 20 % restants, la dette et le harness qu’on n’a pas payé une fois.
Depuis mars, trois déplacements comptent plus que le modèle de la semaine : routage, coût par tâche, et cadre réglementaire.
Quand un agent de code se trompe, changer de modèle n’est souvent pas la réponse. Le comportement vient surtout du harness autour.
No. We can engage from opportunity identification, and also when you already have a PoC or an existing architecture.
No. Our approach favors progressive integration with your existing systems, data and tools.
Yes, when agents are the best solution to the identified problem. We do not start from the technology; we start from the business process and the outcome to achieve.
Yes. We can analyze your current architecture, identify the blockers to production and define the path to a workable solution.
Yes. We analyze the full TCO of an AI system and identify optimization levers: models, routing, prompts, retrieval, infrastructure and architecture.
Yes. YOWE offers in-company programs focused on production AI systems engineering: Enterprise Agent Engineering, Advanced Prompt & Context Engineering, Harness Engineering, Agentic AI Orchestration, AI Security, AI Governance, AI Observability & Evaluation and AI FinOps. Programs are tailored to your team, stack and use cases.
No. YOWE primarily works with technical teams and leaders who need to design, secure, evaluate and operate real AI systems. Programs are built around concrete situations and can be applied directly to your projects.
Start with a 25-minute discovery call — or explore the AI Opportunity Audit to map use cases worth industrializing.
25 min · scoping · no commitment