Much of the work still happens by hand, one small step at a time.
Which steps repeat, where the data lives, and who waits on whom.
Your tools, your data and your team, in one flow.
Replying, sorting, drafting, following up. Decisions stay with your people.
or email yariv@botitout.com
Every week brings a new tool, a new model and a new vendor promising to transform your business. Meanwhile, the real work still runs on inboxes, spreadsheets and people copying data from one system to another.
That's the gap we close: a clear plan, systems that work, and one person accountable for the result.
You can start with one service or combine them. A typical path is a workshop or an audit first, then a build.
A focused talk that gets your people on the same page about AI: what it can really do today, where it fits in your business, and what to watch out for. Tailored to the room, with a live demo of AI agents doing real work.
Also available for meetups and conferences.
Decide where AI pays off first, in half a day.
A focused session with your leadership team. We go through your goals, your processes and what AI can realistically do today, and you leave with a short list of opportunities ranked by value and effort.
A clear map of your processes, data and tools, and which of them are ready for AI.
We sit with the people who do the work, map how it actually flows, and review your data, systems and security. At the end you know what to automate, what to fix first, and what to leave alone.
AI agents built around your workflows and connected to the tools you already use.
We design, build and deploy agents and automations that do real work: answering customers, qualifying leads, drafting content, processing documents and moving data between systems. Each one has clear limits, human approval where it matters, and monitoring that shows you exactly what it does.
Hands-on AI training your team will use on Monday.
Practical sessions built around your team's real tasks, not generic demos. We cover safe use of AI tools, writing good prompts, working alongside agents, and your company's rules for data. In English or Hebrew.
Senior AI leadership, part-time, without a full-time hire.
An ongoing retainer in which Yariv acts as your AI lead: setting priorities, assessing vendors, overseeing builds, and keeping your systems healthy as models and tools change.
Not sure which fits? Book a 30-minute intro call. We'll give you an honest answer, even if it's that you don't need us yet.
Book a 30-minute intro callEvery step ends with something you keep: a plan, a map, a working system. No lock-in.
Tell us what's slowing your business down. We ask questions, share first thoughts, and suggest whether and how to continue.
In a workshop or an audit, we find the opportunities worth pursuing and agree upfront on what success looks like, in numbers you already track.
We start with one focused pilot, put it in front of real users, measure it against the starting point, and improve it.
Once it works, we expand it, document it and train your team, or stay on as your fractional AI lead.
Yariv built BotItOut, a SaaS platform that deploys and manages teams of AI agents for sales, content and customer support on cloud servers. What we learned building it (permissions, reliability, cost, and what an agent should never do unsupervised) goes into every client project.
Yariv Hashai is the founder of BotItOut and leads every consulting engagement personally. He has written production code for telecom and cybersecurity products, worked as a software architect, and led engineering teams at Cybereason, Wiliot and Comet, where he ran R&D for Opik, an open-source platform for evaluating LLM applications, and moved the team to AI-first development. After 13 years in engineering and business entrepreneurship, he built BotItOut to deploy and manage teams of AI agents on cloud servers, and now helps other businesses plan and build AI systems of their own.
Based in Israel. Works with clients at home and abroad, in Hebrew and English.
Yariv on LinkedIn“I’m a big believer in the AI revolution, but it only counts when it does real work inside a real business. That’s what I build.”
Didn’t find your question? Ask it on the intro call, or message us on WhatsApp.
It depends on scope, so we don't publish a price list. Scope and pricing are what the 30-minute intro call is for, once we understand what you need.
Workshops and audits are short, focused engagements. Builds are priced per project once the audit has defined the scope. The fractional AI lead is a monthly retainer. If an off-the-shelf tool would do the job for less than a custom build, we'll tell you.
A strategy workshop typically takes half a day (about 4 hours), remotely or on-site, and an AI-readiness audit typically takes 1–2 weeks. A first working pilot of an AI agent or automation usually takes 4–6 weeks, depending on how many systems it has to connect to.
We prefer small pilots that reach real users quickly over long projects that only show results at the end.
Data protection is part of the design from day one. We access only what a project needs, under an NDA, and we prefer setups where your data stays in accounts and on servers you control.
We use business-grade AI services whose terms do not allow your data to be used for model training. We keep credentials out of code, require human approval for sensitive actions, and log what agents do. We design with Israel's Privacy Protection Law (including Amendment 13) and the EU's GDPR in mind, and we work alongside your legal advisor rather than replacing them.
Ask us about them; it's one of the first things we talk about. The real risks are AI that sounds confident and is wrong, sensitive data ending up where it shouldn't, costs that creep up, and automating a process before anyone understands it.
We handle them by starting small on one real process, keeping a person in the loop where mistakes are expensive, logging every action an agent takes, testing outputs before they go live, and tracking cost from day one. And if AI isn't the right fit for something, we'll tell you.
In our experience, and from what we see in the field, AI rarely replaces the person. It takes over the repetitive part of the job. The people who did that work know the business best, and now they have time to use that knowledge: serving customers better, fixing processes, and finding new ways to create value.
We help your team work with AI like a superpower, so each person gets far more done than before.
We're vendor-neutral: we choose the model and tools for each task. That usually means leading models such as Claude, GPT and Gemini, and sometimes open-source models when data must stay on your own servers.
Where we can, we build on the tools you already use, such as Google Workspace, Microsoft 365, your CRM, WhatsApp, Slack or monday.com. We design each system so the model can be swapped when a better or cheaper one comes along.
No. We handle the technical work from start to finish. What we need from you is someone who knows the process well and can make decisions, usually for a few hours a week during the project.
If you do have developers, we work with them and hand over the code, documentation and access so they can own the system.
We define it before we build. Every project starts by measuring a baseline (hours spent, response times, error rates or revenue per lead) and setting a target, so the return is measured, not guessed.
If the audit shows the numbers don't justify a build, we'll say so. Sometimes the best decision is not to build.
Yes to both. Workshops, training and documentation are available in Hebrew or English, and the agents we build can read, write and reply in Hebrew, including right-to-left interfaces and customer support in Hebrew.
Hebrew quality varies between models and tasks, so Hebrew output is reviewed by native speakers before it reaches your customers.
It starts with a 30-minute intro call. If there's a fit, the next step is usually a strategy workshop or an AI-readiness audit: a short engagement with a defined scope that ends with a prioritised plan you keep, whether or not you continue with us.
Yes. A 45–60 minute talk, on-site or online, in Hebrew or English, tailored to leadership, tech teams or the whole company. It includes a live demo of AI agents doing real work. Book a call and tell us about the audience.
Licences give people a tool. Consulting gives the business a plan and the systems around that tool.
Chat tools help individuals write and research faster. Agents and automations change how a whole process runs: they connect to your systems, work with your data, and follow your rules.
The best candidates are repetitive tasks that eat hours every week and already leave a digital trail. Examples: answering common customer questions, qualifying leads, drafting content, processing documents and invoices, and moving data between systems.
Rare high-stakes decisions are poor candidates, and so are processes nobody can describe yet. Those usually need fixing before they can be automated.
In a 30-minute call, in English or Hebrew, we'll look at how your business runs today and where AI could make the biggest difference.