Agentic AI
We don’t sell AI features.
We re-engineer the way your business works — so it runs on less human time.
Every ability on this page is a process rebuilt around AI, not a tool bolted onto one: approval gates where judgment actually matters, wired into the systems your people already use, and watched closely enough to catch the failures that happen quietly.
An agent at work — this is the kind of thing we build.
This website — including this page — was designed, built and tested by our agents.
“AI won’t take your job. It’s somebody using AI that will take your job.”
Automating processes
Work that used to take a morning, taken off the desk entirely.
Process takeover
We take a routine that eats staff hours — invoices, intake, reconciliation, the recurring report — and rebuild it as a pipeline that runs itself, keeping people for the calls that need judgment.
Made for: Import offices reconciling supplier invoices by handan accounting firm’s monthly closea property manager buried in tenant paperwork
≈ 10–15 hours/week saved
Evidence-based automation discovery
Before we build anything we read your real data — tickets, e-mails, orders, call logs — and tell you what is genuinely worth automating, which is often not what you walked in asking for.
Made for: Anyone certain they need a chatbota service business with a swamped shared inboxan owner who knows time is leaking but not where
Autonomous scheduled operations
Work that runs on its own schedule — nightly, hourly, every morning at seven — and tells a human the moment it breaks instead of failing quietly.
Made for: A dealership that needs fresh stock on the site each morninga manager who wants yesterday’s numbers in WhatsApp at 07:00a business watching competitors or prices continuously
≈ 6–9 hours/week saved
Content production lines
Content at volume with the editorial machinery around it: research, draft, fact-check, an originality gate, and a person who approves before anything is published.
Made for: An importer covering every model launch the same daya professional firm keeping the authority blog it never has time to writee-commerce localising hundreds of product pages
≈ 15–30 hours/week saved
AI media production at platform spec
Images and video generated and finished to the exact spec of where they are going — size, weight, brand rules, Hebrew text — rather than a raw file somebody still has to fix.
Made for: An SMB feeding social channels every weeka brand that wants twenty ad variations to test instead of twoa business with product photos and no design team
≈ 4–7 hours/week saved
Where this has got to
30+
automations running in production
12
businesses on daily agent pipelines
15+
hours saved per business, every week
Talking to customers
Conversations that answer, qualify and escalate — with a person exactly where a person is needed.
Customer-service automation programs
A tiered program rather than a chatbot: the AI resolves only what it has proven itself safe on, drafts replies for your team in the middle, and hands everything else to a human.
Made for: E-commerce flooded with “where is my order”a service line that is seventy per cent repeat questionsa team writing the same five replies all day
≈ 12–20 hours/week saved
Consumer-facing AI advisors
A product expert that lives on your site, talks like a person, recommends from your real catalogue, and hands your sales team a qualified lead instead of a form fill.
Made for: Catalogues too wide to browse — vehicles, courses, insurance, appliancesa sales team answering “which one fits me?” all day
WhatsApp as an operational surface
Intake, approvals, reminders, daily reports and signatures delivered where Israeli business already happens — in WhatsApp, not in one more portal nobody opens.
Made for: Field teams reporting by message instead of a form they ignorea manager approving requests from his phonecustomers signing an intake form without printing it
≈ 3–6 hours/week saved
Building around the AI
The model is the easy part. The software, the wiring and the numbers around it are what make it hold.
Custom operational software
When nothing off the shelf fits the way you actually work, we build the tool itself — the app, the dashboard, the admin console — and keep it running.
Made for: A business coordinating operations through spreadsheet chaosa workflow with signature or legal requirements no SaaS coversa niche process the industry’s software ignores
Systems integration
The AI is wired into the systems you already use, so its output turns up inside the ERP, the helpdesk, the CRM or the accounts — never in one more tab to remember.
Made for: A retailer whose stock, orders and support live in three systems that don’t talkany office where “integration” currently means copying between windows
Data into decisions
Scattered numbers become a weekly rhythm: dashboards that sync themselves overnight, and a short reviewed round of what moved and what to do about it.
Made for: An owner who feels the business but cannot see it in numbersa franchise comparing branchesanyone spending on ads without a weekly cost per lead
≈ 2–4 hours/week saved
Company knowledge, answering back
Your documents, procedures and price lists become something anyone can ask in plain language, with every answer citing where it came from — or saying plainly that it isn’t in the files.
Made for: A firm where the real knowledge sits in three veterans’ headsa company with two hundred procedures nobody readsa sales team that cannot quote a spec without calling the back office
Keeping it safe and durable
Anything that touches real customers has to survive a bad day.
AI implementation and handoff
We install a working system on your own accounts and infrastructure, train your people to run it, and leave — the capability stays in-house, the dependency does not.
Made for: A business that wants the capability rather than a monthly retainera bookkeeper modernising her own practicea team ready to operate what we build
AI usage policy and team enablement
Your staff are already using AI, often with client data in it; we replace that with a written policy, practical guardrails and hands-on training in what is safe and what actually works.
Made for: A firm whose people paste client data into free chatbotsa regulated business that must show a policy and traininga team looking for the lowest-risk place to start
AI governance and security
Making an AI system safe to run near real customers: scoped permissions, approval gates before anything goes out, adversarial testing, and a plan for the day something goes wrong.
Made for: Any business about to put a bot in front of customersmanagement adopting AI tools and worried what can leaka company that has already had a scare
Where do we start?
With your data, not with a proposal. We read what your business already produces — the tickets, the invoices, the inbox, the hours — and come back with the two or three places where the time is actually going.
More often than not the win isn’t the thing you walked in asking for. That is the point of looking first.