Enterprise AI Services
We don't make demos. We build production AI systems that process thousands of documents, automate decisions and scale without human intervention. Measurable ROI from month 1.
We implement AI where it generates real value: process automation, document knowledge extraction, and assistants that understand your business. Before writing code, we evaluate your data quality, define success metrics, and establish governance. Every project includes hallucination monitoring and inference cost control.
We apply it to ourselves first: Nexo, our own AI platform, runs Kiwop's daily operations. And we show our work: Kiwop Labs publishes our experiments, measurements and reproducible tests.
What is enterprise artificial intelligence?
Our Capabilities
AI solutions with measurable results in production
AI Consulting
StrategyAI adoption strategy. Governance, EU AI Act compliance, implementation roadmaps.
View serviceLLM Integration
RAG & AgentsCustom GPTs, RAG systems and AI APIs. LLMs that understand your business on your documentation.
View serviceProcess Automation
Smart RPAEliminate repetitive tasks with n8n, Make and Python. Smart workflows that connect your systems.
View serviceAgentic AI Development
AgentsAutonomous LLM-based agents for complex workflows and decision-making.
View serviceEnterprise RAG
Knowledge BaseProduction RAG systems for queries on internal documentation with over 90% accuracy.
View serviceAI Chatbots
ConversationalIntelligent conversational assistants that understand your business and serve 24/7.
View serviceAI Personalization
PersonalizationAI-powered personalized experiences: recommendations, dynamic content and predictive segmentation.
View serviceLLMOps
OperationsLanguage model operations: monitoring, evaluation, deployment and cost control.
View serviceGEO: AI Search Optimization
ChatGPT & AIGet your brand cited by ChatGPT, Claude and Perplexity. Optimization for generative engines.
View serviceIntelligent Search
ElasticsearchSearch with Algolia and Elasticsearch: +35% conversion and -60% zero-result searches.
View serviceEU AI Act Compliance
EU AI ActEU AI Act compliance audit, risk assessment and regulatory documentation.
View serviceNexo SGSI
ISO 27001 · ENS · ISO 42001ISO 27001, ENS and ISO 42001 certification with the platform we used to pass our own audit with zero non-conformities.
View serviceDemos vs Real Production
Who it's for
- Companies with proprietary data (documents, historical records, knowledge bases)
- Operations with repetitive tasks consuming +20h/week
- Teams that already tried ChatGPT and need something in real production
- Organizations with compliance requirements (EU AI Act, GDPR)
Who it's not for
- If there is no structured data or internal documentation
- "Let's see what AI does" projects without a defined use case
- If expecting magic without investment in data quality
- Startups without established processes to automate
Our Methodology
From data audit to production in 12 weeks
Data Audit
Evaluation of quality and volume of your data. We identify which use cases are viable with your current information and which require enrichment.
Scoped Proof of Concept
PoC with real data and defined success metrics. Maximum 4 weeks to validate technical viability before investing in production.
Production Development
Scalable architecture with hallucination monitoring, inference logging and cost control. Testing with identified edge cases.
Deployment & Governance
Production system with performance metrics, configured alerts and EU AI Act compliance documentation if applicable.
Frequently Asked Questions About Enterprise AI
We answer the most common questions about AI implementation
What types of AI projects does Kiwop implement?
We implement three main categories: RAG systems (Retrieval-Augmented Generation) for queries on internal documentation with over 90% accuracy, autonomous LLM-based agents for complex workflows, and intelligent automation with n8n, Make, and Python. All our projects are deployed in production with hallucination monitoring and cost control.
How long does it take for an AI project to deliver measurable results?
Our process includes a scoped PoC of maximum 4 weeks to validate technical feasibility. Complete projects are deployed in production within 8-12 weeks. ROI is measurable from the first month of operation thanks to our real-time metrics dashboards.
What differentiates Kiwop from other AI consultancies?
We don't make demos. 100% of our projects are deployed in production processing real data. We include hallucination monitoring, inference cost control, and EU AI Act compliance documentation. Our focus is AI that generates ROI, not presentations.
What accuracy do the RAG systems you develop achieve?
Our RAG systems achieve over 90% accuracy in real projects, measured with systematic evaluations on production queries. We implement advanced chunking techniques, hybrid reranking, and optimized prompts to minimize hallucinations.
Do you comply with the EU AI Act in your projects?
Yes. All our projects include risk assessment according to the EU AI Act, training data traceability documentation, and governance protocols. For high-risk systems, we implement bias audits and explainability according to European regulation requirements.
AI Feasibility
Audit.
We evaluate your data and tell you what's possible. AI, security, and production performance.
We evaluate your data quality and present viable use cases with estimated ROI.
Request assessment