Email, documents and company knowledge.
Discover where AI can help your team in its daily work.
Explore the areas around the portal to see what we can build.
From simple automations to AI agents that work for you around the clock. Pick a direction and see how it looks in businesses like yours.
The inquiry waits until morning, and by the time someone replies the customer has spoken to a competitor.
An agent replies instantly on the website or WhatsApp, asks qualifying questions, books a meeting in the salesperson’s calendar and updates the CRM.
Calls go to voicemail, and customers hang up before anyone can answer.
A voice agent answers in natural language, identifies the customer, opens a service ticket and hands over to a person when needed.
The manager jumps between email, reports and systems to understand what is happening and what is urgent.
Every morning the agent gathers data from email, sales and support and sends a short summary of what needs a decision today.
Receipts and invoices arrive by email and WhatsApp, and someone types each one into the software.
The document is recognised, supplier, amount and date are extracted, and a record is ready for approval.
The lawyer reads the whole document to find dates, obligations and unusual clauses.
A summary of the key points with clause references, flagging what needs attention.
The technician gets back and types up what was done, which parts were replaced and what is still open.
A short voice note from the car becomes a tidy report, a parts list and a draft invoice.
Inquiries from the website, social media and listing portals pile up, and hot leads get a late reply.
Each lead is sorted by budget, area and urgency, with a first reply drafted for the agent to approve.
Each product has one line, with no specs, no FAQ and no Hebrew version.
Descriptions, titles and tags in English and Hebrew in the brand’s voice, ready for editing.
The quote goes out, and nobody remembers to follow up a week later.
A follow-up reminder for the salesperson, with a personal draft based on what was agreed.
Patients ask about hours, prices and how to prepare, and get an answer the next day.
A digital assistant answers from pre-approved information and routes to booking. Medical questions go to the staff.
Customers call to ask questions whose answers are already in their policy.
An assistant answers from the customer’s policy documents with clause references, and hands over to an agent when judgment is needed.
The trainer builds plans by hand and can’t follow every member between sessions.
A draft training plan and tailored reminders for each member, reviewed and approved by the trainer.
Illustrative examples. Fit, integrations and permissions are checked against each business’s systems and data.
Have a similar process? Let’s look at it togetherYou can start with one clearly defined task.
A team assistant that searches company documents and points to relevant sources, subject to access permissions.
Summarize threads, identify the topic and prepare a reply draft for review.
Extract fields, compare data and prepare it for the next step.
Tasks, approvals and system updates as parts of one workflow.
Identify recurring topics and summaries in the information you choose to analyze.
TECHNOXE helps assess how an AI solution can connect to your existing work environment and what your team needs to use it.
We review data sources, permissions, licensing and steps that require human approval.
Define the need, test a solution and then move to implementation.
Identify recurring tasks, their owners and what improvement would look like.
Test a focused workflow using data agreed upon in advance.
Configure connections and access, and help the team get started.
Review results, identify errors and decide what to expand.
You do not need to be an AI expert to ask the right questions.
We start by reviewing your existing systems. Some can be connected directly; others may require changes, licensing or an additional tool.
This depends on the solution and its configuration. Before connecting it, we review where data goes, how it is stored and who can access it.
We define review and approval steps according to the action. For example, AI can draft an email while a team member decides whether to send it.
Yes. We can select one task and test it in a defined pilot before deciding whether to expand.
Scope depends on the process, systems and integrations. After reviewing the need, we can propose a scope and timeline.
Tell us what repeats, takes too much time or keeps information from moving forward. That is a place to start.
TECHNOXE AI
Technology that starts with understanding your business.