AI adoption by role
Fit AI tools to the role, with information rules and review, so use survives a busy week.
About the adoption path
AI and automation for your existing workflows
NeoTech Vision specializes in designing and deploying advanced AI systems. We build smart automations that integrate seamlessly into your core operations, streamlining daily tasks without disrupting the tools your team already relies on.
Trust built through working together
Chosen by companies for AI, automation and development
Adoption, workshops and systems around the same work
The path is fitted to the organization: training teams, connecting to existing systems, and building automation where the same task keeps repeating.
AI workshops for teams
Training on your documents, reports and tasks, not a generic slide deck.
Workshop details
Automations and systems
Connect an inquiry, document or record to the action in the system that already runs.
About systems and automationsHebrew guides for tools already in the organization
If your teams already use Claude, Grok or connections to internal systems, these Hebrew guides can go to the people responsible for that.
Terminal Development AgentClaude CodeFull guideDesktop ApplicationClaude DesktopFull guideCLI & DevelopmentGrok CLIFull guideAutonomous Cloud AgentsGrok BotFull guideTool Integration StandardMCPFull guideCloud & Security InfrastructureCloudflareFull guideAI-Powered IDECursorFull guideAutomation & MessagingWhatsAppFull guideAutonomous Local AssistantOpenClawFull guideCloud & self-hosted automationn8nFull guide
Hebrew guidesAI launches, tools and trends
The conversations shaping AI
Processes people already use
Inquiries, payments, documents and core systems. This is what work looks like after AI enters a process that already runs.
GlobalRent
A core operations system for a car rental agency. It intercepts WhatsApp inquiries, checks supplier availability and pricing, and generates a structured quote for agent approval.
Payments, documents and residents on one screen
A command dashboard cross-referencing payment stages with SAP, alongside a leads and signatures portal, advanced document search, and real-time status updates for residents.
Instead of manually piecing together the picture from multiple sources, the team manages the project from a single screen reflecting progress and bottlenecks.
Ask the file and get the source as well
A document processing platform featuring sync, OCR, transcription, and a semantic search engine that cross-references information across the entire archive.
Lawyers query the file in natural Hebrew and receive answers backed by direct citations to the relevant paragraphs in the source documents.
Linder
A mortgage refinance viability engine. The advisor uploads the amortization schedule, and the system extracts the data to provide a clear, real-time financial snapshot.
People and systems work at two speeds
For a person, almost is a start. For a system, almost is a failure. Every project is therefore split into two tracks that move together.
A new habit needs context and repetition
People learn on the real task, at a pace that fits the role. Later the work is checked again, to see whether the new method survived the pressure of the working day.
A system needs input, boundaries and failure cases
Information sources, permissions, control points and the response to an insufficient answer are defined first. Only then is the process connected to the work.
Bring a process
Show how work moves today between people, files and systems, including the points where it gets stuck.
Mark the boundaries
Which information is allowed, who may access it, what stays human and what a miss that must not be missed looks like.
Teach, build or connect
Training where judgment is required. A system where repetition consumes time and creates errors.
Return after reality arrives
Review use, failures and edge cases. Change what does not work before expanding.
The same person from the first conversation until the team is using it
Training and development stay under the same responsibility. The person who knows the process also thinks about permissions, builds the connection and checks whether the team actually uses it.
The work is led by Nachum Rabinovits, who stays with the organization from the first conversation until the system is running with the team.
About the company and the way of workingBefore connecting AI, decide what it must not reach
Every process starts with information, permissions and the control point. The technology comes after that.
How NeoTech Vision works with information and AIWhat goes inOnly information defined as suitable for the purpose
Who can see itAccess by role and by the scope of the work
Who reviews itHuman review where a mistake has a cost
What is keptAccording to need, consent and the organization's policy
A conversation about one work process
The first conversation describes the process, where the information lives and what needs to change. From there it is clear whether to start with training, automation or a system.