Applied Intelligence

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.

>85% RAG accuracy in real projects
30–70% Typical process time reduction

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.

What is enterprise artificial intelligence?

Enterprise AI is the application of machine learning algorithms and language models (LLMs) to automate processes, extract knowledge from unstructured data, and make decisions at scale. Unlike academic AI, enterprise AI prioritizes measurable ROI, integration with existing systems, and regulatory compliance (EU AI Act). At Kiwop we implement three types of solutions: RAG systems (Retrieval-Augmented Generation) for queries on internal documentation, autonomous agents for complex workflows, and intelligent automation with n8n, Make, and Python to eliminate repetitive tasks.

Our Capabilities

AI solutions with measurable results in production

AI Consulting

Strategy

AI adoption strategy. Governance, EU AI Act compliance, implementation roadmaps.

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LLM Integration

RAG & Agents

Custom GPTs, RAG systems and AI APIs. LLMs that understand your business on your documentation.

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Process Automation

Smart RPA

Eliminate repetitive tasks with n8n, Make and Python. Smart workflows that connect your systems.

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Demos vs Real Production

Most AI projects die in the proof of concept phase. Pretty demos that work with 10 documents but collapse with 10,000. Models that hallucinate critical data. Inference costs that explode. We deploy in production: RAG systems with audited accuracy, robust data pipelines, and hallucination monitoring. If it's not in production processing real data, it's not finished.
0 Demos without production
100% Projects deployed
Artificial intelligence in 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

01

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.

02

Scoped Proof of Concept

PoC with real data and defined success metrics. Maximum 4 weeks to validate technical viability before investing in production.

03

Production Development

Scalable architecture with hallucination monitoring, inference logging and cost control. Testing with identified edge cases.

04

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 +85% 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 +85% 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.

Applied Intelligence

AI Feasibility
Audit.

We evaluate your data and tell you what's possible. AI, security, and production performance.

RAG & Agents
AI Governance
Response <48h

We evaluate your data quality and present viable use cases with estimated ROI.

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