Artificial intelligence · Automation · Business systems
AI integration means artificial intelligence no longer sits in a separate browser tab: it works inside your website, your CRM, your inbox and your documents. At AMS.AL we connect well-known models such as OpenAI, Claude or Gemini to your own data and processes, with clear rules, human review where it matters and data protection in line with the GDPR. We have built websites, systems and integrations for businesses since 2015, so we know technology is only worth it when it saves real time and does not create new risks.
48 h
First answer
For every request for an analysis or a quote
GDPR
Data protected
Only the data a task needs, with limited access
2015
Online since 2015
Websites, systems and integrations under one roof
HTTPS
Encrypted connections
Every call to a model travels encrypted
Most businesses have tried artificial intelligence by now: someone on the team opens a chatbot, pastes in some text, gets an answer and copies it into an email. That helps a little, but it is still manual work. Nothing is connected, nobody knows what was sent to the model, and the result depends on whoever typed the question. A proper AI integration moves that work inside the tools the business already uses.
The first question is not which model is the most powerful, but which task eats the most time and follows clear rules. Answering frequent questions, sorting incoming email, pulling data out of invoices, writing product descriptions or summarising a customer conversation are all good starting points. Once the task is clear, we build the connection, set the limits and measure whether time is really saved.
The table below compares ad-hoc use of AI tools with the way we approach an AI integration. Small experiments are not wrong; they are the best way to start. But when artificial intelligence touches customers, data and decisions, it needs structure.
| Criterion | Ad-hoc use | AI integration by AMS.AL |
|---|---|---|
| Purpose | Everyone uses it however they like, with no defined task and nothing measured. | One concrete task per integration, written steps and a clear measure of success. |
| Data | Text copied by hand, often with names, phone numbers and details that should never have been sent. | Only the fields a task needs, masked where necessary and read directly from your systems. |
| Accuracy | The model invents answers when it does not know, and nobody notices before the customer does. | Answers based only on your own documents, with rules that stop it from making things up. |
| Control | No log: nobody knows who sent what or how the output was used. | Every action is logged, and important decisions wait for a person's approval. |
| Costs | Scattered personal accounts, unlimited use and bills nobody can explain. | One business account, usage limits and a clear report of where every call is spent. |
| Maintenance | When the model changes or an employee leaves, everything starts again from scratch. | Full documentation, regular tests and the option to switch provider without a rebuild. |
A subscription to an AI tool gives one person an assistant. An integration gives the whole business a process that works the same way every time: the same question gets the same quality of answer, the same data is protected in the same way, and every result can be checked. If you are still exploring where artificial intelligence could help, our page on AI services covers the wider options; this page is about connecting it to the tools you already have.
Every AI integration project starts where time is being lost. These are the four areas we work in most often. Many businesses start with one and add the others once they have seen the first results.
An assistant on your website answers visitors at any hour, but only with the information you have given it: your services, opening hours, terms, frequent questions and published pages. When it does not know the answer, it does not invent one; it suggests leaving contact details or handing the conversation to a person.
We connect it to your existing website without rebuilding it, teach it to speak your customers' languages and log every conversation, so you can see what people ask and where information is missing.
Best for: Businesses with many repeated customer questions and little time to answer them.
Requests arriving by email or through forms are sorted by topic and urgency, summarised in two lines and sent to the right person. For each one, the system can prepare a draft reply that a team member reads, edits and sends.
If you do not have a customer system yet, we can build one alongside the integration: see our page on CRM software. If you already have one, we connect to it with access only to the fields that are needed.
Best for: Sales and customer service teams that receive many requests every day.
A lot of time goes into retyping data from a PDF into a spreadsheet. With data extraction, invoices, orders, forms and contracts are read, the key fields are filled in and anything unclear is flagged for a check.
The result goes straight into your invoicing system, your archive or your business management system, with a link back to the original document so it can be verified when needed.
Best for: Administration, accounting and businesses that handle many paper or PDF documents.
When tools do not talk to each other, someone becomes the bridge between them. With automations we connect your website, online store, CRM, inbox and spreadsheets, while artificial intelligence handles the part that needs an understanding of the text.
Examples: product descriptions from a list of features, social posts drafted from an article, or replies translated for customers abroad. Every automation has a stop where a person can check the output before it is published.
Best for: Online stores and businesses that repeat the same steps across several tools.
We work in small steps, so you see results early and never invest in something that does not serve you. Every step ends with a concrete deliverable.
We talk to the people who do the work every day, look at where time is lost and what data exists. Together we choose one or two tasks with clear rules and a measurable benefit.
What you receive
We build a small version that works with real examples but does not touch the systems in use. That way you see the quality of the output before any large decision.
What you receive
We connect the model to your website, CRM, inbox or documents through official APIs. We set the limits: what it reads, what it writes, what waits for approval and what it never touches.
What you receive
We test it with everyday cases and with difficult ones, including questions the model must not answer. Then we train your team to use it, correct it and report problems.
What you receive
We launch gradually, first for part of the work. We follow the results, refine the instructions and add new tasks only once the first ones work well.
What you receive
Artificial intelligence is powerful, but it has well-known limits. The projects that succeed take those limits into account from the start.
OpenAI, Anthropic, Google and others offer very capable models, and they change often. That is why we build the connection so the model can be swapped without rewriting everything. The most valuable parts of the project are your organised data, the tested instructions and the review rules.
The model is chosen per task: a fast, inexpensive model for sorting email, a more capable one for summarising long documents. That keeps usage costs reasonable.
A general model does not know your terms, your opening hours or your current offers, and when it does not know, it may invent an answer that sounds correct. The approach we use is called retrieval-augmented generation: before each answer, the system finds the relevant passages in your own material, and the model is only allowed to answer from them.
Every AI integration that touches personal data needs a legal basis, a clear purpose and as little data as possible. Before text is sent to a model, we mask email addresses, phone numbers and figures that are not needed. We use business accounts with the providers, where under their terms the data is not used to train models, and we help you update your privacy notice.
Our main rule is simple: the model proposes, a person decides where it matters. A draft email, a product description or a field extracted from an invoice can be produced automatically, but payments, quotes, changes to records and replies to complaints wait for a person's approval.
An integration is only worth it if the result shows up in everyday work. That is why we define the measures in the first step and track them the same way every month.
We measure how long a task took before and after, how many requests are handled without intervention, how many are passed to a person and how many corrections the team makes to drafts. A regular sample of answers is checked by hand for accuracy and tone.
You receive a short report in Looker Studio or as a document, with the measures, sample conversations, unanswered questions and proposals for improvement. The technical documentation, the instructions and the access credentials remain yours, so the business never depends on a single person.
Integrations are often tied to your website; if it needs improving or rebuilding, our web development team handles that in the same project.
We group projects into three levels. They are not rigid packages: each one is a starting point that we adapt to your processes.
One task, one integration, measurable results.
Best for: Businesses that want to try artificial intelligence in a single process.
Several integrations connected to your CRM and inbox.
Best for: Growing businesses whose sales, customer service and administration handle a lot of text.
Artificial intelligence across the whole business system.
Best for: Companies with several departments, sensitive data or internal systems.
Pick what you need and we show you the closest level. It is only a guide; the quote is prepared after a conversation.
Pick at least one option to see the recommendation.
We do not publish fixed prices, because every integration has its own scope. For every request we prepare a free, no-obligation quote, with the work broken down by step and the model usage costs listed separately.
It is connecting an artificial intelligence model to the tools a business already uses, such as its website, CRM, inbox or document archive, so that a task is done inside them rather than in a separate window. The model receives only the data it needs, and the result comes back to where the team works.
Usually not. Most modern tools have an API or another way to connect, and we build on top of them. Only when a system is very old or allows no connection at all do we propose an alternative, and we say so during the review.
Data is read from your systems and sent to the model provider only in the part that is needed, over an encrypted connection. We mask personal data that is not required and use business accounts, where under the providers' terms the data is not used for training. Everything is documented for whoever handles privacy in your company.
That is why the model may only answer from your documents and says openly when it finds no source. Answers that matter wait for a person's approval, and a sample is checked regularly. Mistakes can still happen, but they are caught early and corrected in the instructions.
A single integration, such as a website assistant or email sorting, usually goes from review to launch within a few weeks. Projects across several departments take longer and are delivered in steps. We give the exact timeline in the quote once we have seen your tools and data.
Usage cost depends on how much text is processed and on the model chosen. We measure it in the prototype with your own examples and show it to you before launch, set monthly limits, and the monthly report shows where every call is spent.
Yes. Today's models understand and write Albanian, English, Italian, German and many other languages well. We test the quality in every language you use and add human review wherever the text is published.
Our general AI services cover advice, ideas and ready-made tools. Integration is the technical part: connecting artificial intelligence to your systems, with rules, logs and measurement. Many clients start with an advisory conversation and continue with the integration.
We can, with regular tests, updates when models change and monthly reports. We also hand over full documentation, so your own team or another partner can take it over. You can read more about how we work on our about us page.
Tell us which job takes the most time every week and which tools you use. Within 48 hours we send a first answer with the ideas we see and the steps towards a small prototype.
The initial analysis is free and comes with no obligation. You speak directly with the people who build the integration, not with a sales agent.
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