AI agents
Custom agents for customer service, lead qualification, internal support and multi-step workflows that require decisions.
from USD 2,500
AI consulting
AI agents and process automation with generative AI
I build intelligent agents, optimized prompts and automations that take repetitive work off your team, connected to the tools you already use.
10+AI agents built
20+prompts optimized for production
30+processes automated
8+years in innovation and data
AI and automation solutions
From assessment to implementation, focused on use cases that pay for themselves.
Prompt engineering
Tested, documented prompts to get the most from LLMs in your context, from zero-shot to reusable templates.
from USD 500
Process automation
End-to-end automation with AI: intelligent workflows, API integration and orchestration in Zapier, Make or n8n.
from USD 1,500
Custom generative AI
RAG over your documents, fine-tuning when it makes sense and AI solutions tailored to your business.
from USD 3,000
Where AI fits in your business
- Customer service with answers grounded in your data
- Sales: lead qualification, follow-ups and scheduling
- HR: application screening and onboarding
- Finance: expense categorization and automated reports
- AI inside Power BI for natural-language questions
Technologies I use
- OpenAI (GPT and Assistants), Claude, Llama and Mistral
- LangChain, LlamaIndex and CrewAI
- Zapier, Make and n8n
- Microsoft Copilot Studio and Power Platform
Estimate your investment
Answer three questions and get an estimate in seconds. The final proposal reflects your scope.
AI consulting FAQ
What is an AI agent?
An autonomous program that uses language models (such as GPT or Claude) to make decisions, carry out tasks and interact with systems. It can automate complex processes, serve customers or optimize workflows.
What is the difference between prompt engineering and AI agents?
Prompt engineering optimizes the text sent to the model to improve answers. An AI agent goes further: it plans, takes actions, calls APIs and completes multi-step tasks on its own.
How long does it take to build an AI agent?
Simple agents are ready in 1 to 2 weeks. Multi-agent systems with complex integrations and fine-tuning take 4 to 12 weeks.
Do you fine-tune models?
Yes, when the use case calls for it. In most projects, RAG (Retrieval-Augmented Generation) over your documents delivers faster and cheaper, so that is where we start.
Is my data safe?
Yes. We use enterprise APIs that do not train models on your data, access controls and, when needed, models running in your own environment.