Automation and AI systems

Automation and AI systems for existing workflows

First we see how the work moves today. The building blocks repeat across organizations; the value is in the passage between the systems already running.

Navy circuit board with gold traces and a green control light
Before building

First see how the work moves today

Who performs each action, where the information lives, where decisions are made and what happens when a detail is missing.

From that flow the suitable components are chosen: rules, integrations, a working interface or an AI capability, and how they fit the existing systems.

  1. InputAn inquiry, document, record, file or system event.
  2. ProcessingRules, search, an AI model or a combination of them.
  3. ControlData verification or human approval according to risk.
  4. UpdateA write to the right system and a record of what happened.
What can be built

The system looks different in every organization. The building blocks repeat.

Intake and first screening

WhatsApp forms and bots that ask for missing information, classify the inquiry and pass it to the right person with context.

Documents and organizational knowledge

Intake, OCR, transcription, search and conversation with internal material, including a way back to the source the answer rests on.

Dashboards and working systems

Screens that gather status, payments, tasks or exceptions from the systems that already hold the data.

Tools that perform work

A tool that reads information, prepares a draft or updates a system inside clear boundaries and stopping points.

Connecting systems

Email, CRM, Google Workspace and other services, with failure handling and a record of what happened.

Multi-account WhatsApp systems

Infrastructure for businesses that manage numbers, conversations, files and groups across several accounts, according to the platform rules.

Examples from the field

The value is in the passage between systems

An incoming inquiry, a document, a payment or a management question. The system connects them.

Urban renewal

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.

Mortgage office

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.

Car company

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.

Legal archive

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.

Operations portal

Leads, residents and projects in one place

An internal portal for leads, resident follow-up and signatures, with synchronization between dashboards and Google Sheets.

Sales documents

From a quote to a document ready to share

A system for managing price quotes, keeping proposal details and producing PDF documents for the sales workflow.

Transcription

From a recording to an editable draft

A workflow for processing recordings, managing speaker information and producing editable documents for professional review.

Field operations

Plan routes between customer visits

A system for planning field-agent visits and organizing work around customers and visit destinations.

How it is built

A system needs to be clear on the day something fails

The design includes the normal path and the exception cases: permissions, missing input, an uncertain answer, an external service that does not respond and an orderly hand-off to a person.

Before building

Define responsibility

Who uses it, who approves, who receives an alert and who holds the source of information.

During the build

Test real scenarios

Valid input, missing input, a wrong permission and a case where the system must stop and ask for help.

Before handover

Document and teach

The team knows how to operate the system, understand its limits and report a problem in a way that can be fixed.

Before you start

Questions that usually come up

Which process should we start with?

A process that repeats often, moves between several people or systems, and has a start and a result that can be defined. If the problem is still unclear, start by describing the process rather than building.

Do existing systems have to be replaced?

Usually not. Often the right piece is a small connection between the CRM, documents, email or WhatsApp and the place where the work is done.

When is AI the wrong choice?

When ordinary rules give a more accurate answer, when there is no reliable information source, or when the cost of a mistake is high and there is no good way to check the result. AI is a possible component, not a requirement.

Can the work start with a prototype?

Yes. When feasibility needs to be checked, the smallest part that can give a real answer is built. A prototype is marked as an experiment and is not presented as a finished system.

How is sensitive information handled?

Information is reduced, permissions and sources are defined, and tools are chosen according to risk and the organization's policy. Significant actions receive a suitable control point.

What happens after go-live?

The scope of training, documentation, monitoring and maintenance is set in advance according to the system. That part is not left as an unwritten assumption at the end of the project.

From the field

AI news

The first step

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.