AI consulting & systems integration

Bring AI into your business — no buzzwords, real results

I help companies find where AI actually moves the needle — and build the systems that make it happen: smart agents, automations, and integrating language models (LLMs) into the systems you already have.

  • AI agents
  • Automations
  • LLM integration
  • RAG
  • Fine-tuning

Working with the leading tools in the field

  • Claude
  • ChatGPT / OpenAI
  • CrewAI
  • LangGraph
  • LangChain
  • DeepSeek
  • Grok
Services

How I help companies with AI

From three angles — strategy, build, and integration — depending on where you are on the journey.

AI strategy & consulting

We pinpoint where AI gives your business the highest return — and build a practical roadmap.

  • Map AI opportunities in your processes
  • Feasibility, cost & benefit assessment
  • Roadmap and your first Use Case
Talk about it

AI agents & automations

Smart agents that do real work — research, analysis, content and processes — autonomously.

  • Agents built with CrewAI / LangGraph / LangChain
  • Business process automation
  • Agents with memory, context and tools
Talk about it

AI integration into your systems

Connecting language models to your existing systems — CRM, databases, APIs — so AI works inside your flow.

  • Connect LLMs to APIs and databases
  • RAG — answers grounded in your internal knowledge
  • Fine-tuning on data unique to your business
Talk about it
How we work together

From a fuzzy idea to a system that works

A clear process, no surprises — you always know exactly where we stand.

  1. Intro call

    We understand the business, the pain and the goal. No commitment — just to see if there is a fit.

  2. Scoping & opportunities

    We map where AI gives the highest return and pick the first Use Case to start with.

  3. Build & integrate

    We develop the system in stages, with checkpoints — and connect it to your processes and systems.

  4. Support & expand

    We go live, measure, improve — and expand to more Use Cases once it proves itself.

Eran Simtob
About

Nice to meet you, I’m Eran 👋

I’ve been building AI systems for years — since language models became a real working tool. I combine deep theory with hands-on field experience, and one thing matters to me: that AI doesn’t stay a pretty demo, but delivers real value in your business. No buzzwords, no “magic” — solutions that work.

Areas of expertise

  • Building LLM-based agents — with memory, context and tailored behavior
  • End-to-end business process automation
  • Connecting models to external services — APIs, databases, dashboards
  • RAG — systems that answer from your internal knowledge
  • Fine-tuning models on data unique to the client
  • Distributed AI system architectures
Let’s build something
FAQ

What companies usually ask

What does “putting AI to work in a business” actually mean?
It’s taking AI and connecting it to a real process in your business — for example an agent that summarizes customer inquiries, an automation that handles orders, or a system that answers from your internal knowledge. Not an experiment — a tool that works day to day.
Which businesses are a good fit for an AI project?
Almost any business with a repetitive process, lots of information, or a team spending time on manual work. If you have a task that repeats or questions customers ask again and again — there’s likely an opportunity. In the intro call we check together whether it’s worth it.
I’m not technical — can we work together?
Absolutely. My job is to translate between the business world and the technical one. You bring the knowledge about the business, I bring the AI — and talk with you in plain language throughout.
What’s the difference between an AI agent and a regular chatbot?
A regular chatbot follows a rigid script. An AI agent understands context, makes decisions, and can take real actions — search for information, update a system, coordinate several steps — autonomously. It’s the difference between a “menu” and an “assistant”.
Does my business data stay private?
Yes. We design the architecture so your sensitive data stays under your control, with the option of solutions that run models in a private environment when needed. Privacy and security are part of the scoping, not an afterthought.
How long does a project take?
Depends on scope. Often a first, useful Use Case can go live within weeks, then expand from there. After a scoping call I’ll give you a clear timeline and cost range.
Contact

Have an idea or a pain point? Let’s talk.

A first intro call is free and with no commitment — together we’ll see if there’s a fit and where AI can help you most.