AI agents & automation
Agents that complete a whole task: answering, classifying, updating systems and preparing decisions, with clear rules for when to stop and hand over to a person.
AI for business means putting language models and automation inside the processes you already run: answering leads on WhatsApp, booking appointments, reading invoices and logging call summaries to your CRM. DevShift is a software house that designs, builds and maintains these agents, and runs the same technology inside its own products, RoadProtect and Formalingo.
ChatGPT is good at drafting, summarizing and general questions. The gap opens when you want AI to work on your company's data, talk to customers on the channels they already use and update your systems without someone copying things across by hand. That is the difference between a tool people open now and then and AI for business that is part of the workflow.
An AI agent for business is software that receives a task, uses the tools it has been given, such as your CRM, calendar, accounting software or document store, and returns a result you can check. It does not replace your team. It takes the repetitive work, logs every action and hands any exception or sensitive decision to a person. Small businesses and large companies start the same way: one process, one clear success metric.
For businesses in Israel there are three layers worth planning from day one. WhatsApp, where many customers prefer to reach a business, and which has its own rules and pricing. Real Hebrew, including slang, typos and professional terms the agent has to understand and answer naturally. And privacy: Amendment 13 to the Israeli Privacy Protection Law took effect in August 2025, so you decide up front what personal data the agent sees, where it is stored and who can access it. Companies serving Europe add GDPR on top.
DevShift is a software house, not an agency reselling a subscription tool. We write the code, connect it to your systems and stay accountable for it in production. We run the same AI in our own products: fine analysis in RoadProtect and form building in Formalingo. The code and data stay yours, and we do not lock you into one model vendor: you can switch between GPT, Claude, Gemini or an open model based on quality, cost and privacy needs.
What we build
Agents that complete a whole task: answering, classifying, updating systems and preparing decisions, with clear rules for when to stop and hand over to a person.
A chatbot that understands your customers, answers from your company's knowledge and works on the channels they already use, including WhatsApp Business.
GPT, Claude or another model connected to semantic search over your internal knowledge, so answers come from your documents rather than a guess.
AI that reads contracts, invoices and forms, extracts what matters and turns it into structured data and actions, with human review where it is needed.
Managers ask in plain language and get answers from the CRM and data systems, without waiting for a report.
When a general model is not enough, we fine-tune or train a model on your data and test it against real examples from your business.
Common use cases
The best fit for an AI agent is a process with high volume, clear rules and a defined point where a person steps in. These are the most common ones.
The agent replies within seconds, asks the qualifying questions your team would ask, logs the lead in your CRM and passes only relevant leads to a rep, together with a summary of the conversation.
For clinics, studios and service providers: the agent offers open slots from the calendar, books, sends a reminder and handles cancellations. Unusual requests go to the front desk.
Invoices and receipts that arrive by email or WhatsApp are read automatically: supplier, amount, VAT and the Israeli Tax Authority allocation number where one is required. A document missing a field goes to manual review before it reaches your bookkeeping.
Document intelligenceSales and service calls and long message threads become a short summary with next steps, saved on the customer record. The next rep gets the full context without asking again.
Voice agentsEmployees ask in Hebrew or English and get answers from company procedures, proposals and documents, with a source reference and within each person's access. Useful for onboarding, support and sales.
Company knowledgeThe agent extracts clauses, dates and amounts from contracts and flags clauses that differ from your standard wording. The decision stays with the lawyer, who receives the material already organized.
Custom vs off-the-shelf
A custom AI agent is built for your workflows and grows with them. A generic chatbot or an off-the-shelf tool like ChatGPT isn't. Here's how that looks in practice.
| DevShift | Generic chatbot | ChatGPT / off-the-shelf | |
|---|---|---|---|
| Business fit | Tailored to your workflows, voice and brand | A fixed template with shallow tuning | Generic, doesn't know your business |
| Hebrew & WhatsApp | Tested on real phrasing from your field and connected to WhatsApp Business | Basic support, usually not tested on your data | Good Hebrew, but not connected to your channels |
| Integrations & data | Connected to your CRM, systems and internal data | Limited, pre-built integrations | Runs disconnected from your systems |
| Privacy & security | Permissions, encryption and control over what reaches the model | Your data sits with a third-party vendor | Hard to control what employees paste in |
| Code ownership | You fully own the code and the solution | Locked into a platform and a monthly fee | No ownership, full vendor lock-in |
How it works
We start from one process and one metric, not from technology. That way you learn quickly whether it works.
We pick one process, map how it works today and define what success means: response time, hours saved or leads handled.
We build a first version against real conversations, documents and data, anonymized where needed, and test in Hebrew whether the answers are accurate enough.
We connect your systems, set permissions, log every action and define where a person approves. Edge cases are tested before a real customer meets the agent.
We go live on part of the traffic first, measure against the agreed metric and expand only when the numbers justify it. After launch we keep monitoring and tuning.
Timelines & cost
There is no single price for an AI agent. Most of the cost comes from scope, the number of systems to connect and how much human review is built in. These are the timelines we work to, and the components worth seeing in any quote.
| Time to launch | What is usually included | What grows the scope | |
|---|---|---|---|
| Focused chatbot or automation | Usually 3-5 weeks | One channel, one process and one or two system connections | Many scripts, several languages or extra channels |
| AI agent for a full process | One to three months | Several systems, document processing, handoff rules and monitoring | Write actions in core systems and decisions with financial impact |
| Broad AI system or product | Scoped per project | Several processes, role-based access and an admin interface | Private deployment and stricter regulatory requirements |
You pay for the amount of text the model processes (tokens). Cost depends on volume and model choice, and drops when simple tasks move to a smaller, cheaper model.
Meta charges per message. From October 1, 2026, service messages are charged too, after 1,000 free service messages per business phone number each month.
Servers, a database and a record of every conversation and action, so you can check what the agent did and why.
Updating rules and scripts, moving to new model versions and running periodic quality checks in Hebrew.
An exact price is only possible after a discovery call, once it is clear which process we are building and against which systems. Ask for running costs to appear in the quote separately from setup, with an estimate based on your volume.
Full guide: how much an AI agent costsWhy DevShift
We build our own AI products and deliver custom AI solutions, so we know what works in production and what only looks good in a slide deck.
Our products
Not a client portfolio - these are ours, and some are ventures we co-own with the Badger Group. It's how we know we can build yours.
FAQ
AI for business is the use of AI inside the workflows you already run, not a separate tool sitting on the side. In practice it covers four things: AI agents that run a whole process end to end, a business chatbot that answers customers on the channel they prefer, automation that classifies requests and updates systems, and document processing that pulls data out of contracts and invoices. The starting point is always your most painful process, not the technology.
A chatbot answers questions. An AI agent also acts: it checks data in a system, books an appointment, updates the CRM or opens a ticket, and finishes the process. In practice there is a spectrum. Many projects start as a chatbot that answers from your company's knowledge and gain the ability to act step by step, once the answers have proven accurate.
It depends on scope. A focused chatbot or automation costs much less than an agent connected to several systems that takes actions in them. Beyond setup there are running costs: model usage, WhatsApp messages, hosting and maintenance. Our AI agent cost guide collects market price ranges and the components to check in a quote. With us, you get a detailed quote after a short discovery call.
A business chatbot or simple automation usually goes live within 3-5 weeks. More complex AI agents, with deep system integration and document processing, take one to three months, depending on scope and the data available.
The leading language models read and write Hebrew well, but customers write with slang, typos, abbreviations and English words mixed in. So every agent is tested against real phrasing from your field before launch, and we define what it does when it is unsure: ask a clarifying question or hand over to a person.
Yes, through Meta's WhatsApp Business Platform, the official interface rather than the regular WhatsApp app. The agent answers inquiries, sends approved templates such as booking confirmations and reminders, and hands a conversation to a person when needed. Note that Meta charges per message, and from October 1, 2026 service messages are charged too, after 1,000 free service messages per business phone number each month.
Amendment 13 to the Israeli Privacy Protection Law took effect on August 14, 2025 and expanded both the duties of anyone holding personal data and the regulator's enforcement powers. In an AI project that means deciding up front what data the agent really needs, limiting permissions, logging access, choosing where data is stored and which model provider processes it, and sometimes running a model in a private environment. We build that into the architecture; the legal side is worth closing with your own counsel.
Yes, and it is most of what we do. We connect AI to your existing systems through clean APIs and integrations, the way we embedded AI into our own products, RoadProtect and Formalingo, without rebuilding them from scratch.
Start with one defined process that eats the most time, not with a large AI program. AI for small businesses works best when you pick a single repetitive task, such as answering inquiries, booking appointments or qualifying leads, and build a focused solution that connects to the system you already use. Then measure the hours it actually saved, and only once it proves itself extend it to more processes.
Yes, and we build it around the systems you already run rather than replacing them. The assistant connects to your CRM, finance system and calendar, answers questions from them in plain language, surfaces exceptions and stalled tasks, and takes actions on your behalf. When it needs a management interface of its own, we build that as a custom software product, and the code stays yours.
Three kinds of vendors operate in Israel: AI consultants who advise without building, agencies that resell off-the-shelf tools on a monthly subscription, and software houses that engineer custom AI solutions from the ground up. We are the third kind. When choosing, ask to see an AI system the vendor already runs in production, not a demo. Then confirm the code and data stay yours, that privacy questions get clear answers and that the integration with your systems is real.
Go deeper
What an AI agent costs a business in 2026: setup price ranges, monthly costs for the model, WhatsApp and upkeep, ROI math and questions to ask a vendor.
ReadWhat AI agents can really do for your business today: real use cases from customer service to operations, what they cost, and what still does not work.
ReadJev AI from TypeSafe makes typed decisions for software. Explore its launch, five practical use cases, pricing, early tests, and limitations.
ReadAn AI firm with deep implementation experience or an in-house engineer? Compare cost, time to market, cross-industry experience, and risk.
ReadVoice agents, company knowledge and document intelligence, as they look in practice.
When AI is the heart of a new product: scoping, MVP and launch.
Tell us about the process that hurts most, and we'll get back to you within one business day with a first assessment.