Learning and adoption in the role
A habit is built gradually. People learn on a familiar task, keep material they can open again and return after real work has tested it.
About NeoTech Vision
A company for AI implementation, team training and systems development around work the organization already does.
Trust built through working together
Chosen by companies for AI, automation and development
A direct connection between the process, the people and the system
NeoTech Vision was founded in 2024 by Nachum Rabinovits, a systems developer and lead for AI implementation processes.
The work grew from a combination of writing software and personal training for senior executives in the Israeli market, on their email, documents, decisions and reports. That connection showed again and again that a person needs to know when to use a tool, and a system needs to know when to stop.
That is why training and development stay under the same responsibility, from the first conversation to a system that works with the team.
AI implementation combines a human track and a systems track
The human track is about knowledge, practice and responsibility. The systems track is about data, permissions, edge cases and maintenance.
Implementation, control and maintenance
Automation needs defined input, permissions, handling of edge cases and a clear way to pass the work to a person when it cannot continue.
Professional implementation connects the conversation interface to documents, WhatsApp, spreadsheets, CRM and core systems.
The place where a conversation meets a system
The projects combine users, data, permissions, failure handling and clear responsibility when the process stops.
- Web systems and dashboards for operations and finance workflows
- Tools that work with data, documents and existing systems
- WhatsApp Business automations, intake and conversation handling
- Automation processes with control, failure handling and ongoing operation
- Knowledge and document systems with search, sources and output review
- API integrations, permissions, monitoring and maintenance of live services
Processes running in organizations
Payments, inquiries, documents and core systems. Without replacing what already works.
Personal advisory and AI integration for decision makers
Targeted coaching for executives on integrating AI tools into their sensitive daily workflows. The process focuses on streamlining decision-making and document analysis, while clearly defining data security and risk management policies.
Technical Guides in Hebrew
A comprehensive technical library in Hebrew covering leading AI tools, agents, and infrastructure: Claude Code, Claude Desktop, Grok CLI, Grok Bot, MCP, Cursor, WhatsApp, OpenClaw, and Cloudflare.
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.
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.
RouteFlow
A smart multi-stop route planning system. Entering addresses generates an optimal driving order and an interactive map for managing distribution.
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.
An open inquiry becomes a lead the office can work
A smart WhatsApp agent that receives incoming inquiries, collects missing data from the client, and forwards an organized file to the office, accompanied by an automated refinance viability check.
The advisor starts the workday with complete, ready-to-use data, eliminating time wasted on lengthy data-extraction correspondence.
Hebrew questions on the CRM
A natural language interface connected directly to customer data, inventory management, and the order system within the company's existing CRM.
Management receives precise, real-time answers to business queries without navigating screens or generating complex reports.
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.
A donations system instead of an Access file
An enterprise web system for managing donors, processing donations, generating receipts, tracking beneficiaries, and producing customized reports.
The organization transitions from decentralized, local-file management to a centralized, secure cloud system accessible from anywhere.
A photo goes in, a correction report comes out
A computer vision system that analyzes photographs of ritual calligraphy and automatically flags areas requiring rigorous professional inspection.
The scribe receives an organized defect report that streamlines the review process, fully preserving their halachic and professional judgment.
The morning starts with a draft, not a blank page
An automation system that gathers information sources, drafts initial copy directly in Google Docs, and alerts the editor upon completion.
The content team begins their work at the review and editing stage, saving hours of raw material gathering and tedious initial writing.
Extracting data from Land Registry extracts into the file
A smart system that manages Land Registry requests, analyzes the legal data from the document using AI, and automatically updates the processing status via WhatsApp.
Eliminates the need for manual reading of technical documents, delivering the bottom line to lawyers immediately upon receipt of the extract.
A virtual agent that operates booking systems
A browser-based AI agent that takes requests in natural language, autonomously operates booking systems, and identifies the most cost-effective car rental deals.
The travel agent inputs a request in simple Hebrew, and the system performs all the data gathering and entry work with car suppliers in real time.
Personal broadcast messages on WhatsApp
A backend operations system that ingests mailing lists and manages customer journeys through the scheduled dispatch of personalized WhatsApp messages.
Continuous and effective communication with the customer base, without burning out the team on repetitive manual sending tasks.
Transcription and production of court-grade protocols
A system integrating multiple advanced transcription engines in parallel, cross-referencing data to produce protocols at legal-grade accuracy conforming to industry standards.
Significantly streamlines the typing process and ensures high reliability even in multi-participant legal hearings with complex terminology.
Full automation for Zoom recordings
An automation platform that monitors new Zoom recordings, manages the backup and upload process to Vimeo, and dispatches direct updates to participants.
Frees human resources from operational tasks, ensuring immediate availability of training content to end clients.
Automated price quote generator
An AI engine that analyzes client requirement specifications and automatically generates professional, branded, and ready-to-send price quotes.
Significant shortening of the sales cycle through consistent and accurate quotes, eliminating the need for manual drafting and quality control.
3 questions closed before the work starts
What does the person do today?
The work starts from the open screen, the material that comes in and the person waiting for a result. The job title is only the heading.
Where must the system not be wrong?
Define the boundary, the check and the moment the work passes to a person.
Who will operate this after handover?
The system needs to fit the people who work in it, and the process needs to leave clear responsibility inside the organization.
AI news
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.