AI and Automation
AI Solutions: Enterprise Assistant, RAG and AI Agents
We connect large language models (LLMs) to your business processes: an enterprise assistant, RAG solutions that search your documents, and AI agents that run with n8n. Every project starts with data security and data protection.
Our enterprise AI solutions
We set up large language models (LLMs) to work with your company's knowledge and business processes. We have two goals: your staff find the right information faster, and repetitive work becomes automated. Every project starts with a decision on which data may go to the model.
We use cloud model providers or open models that run on your own servers. We choose the model with you based on your data privacy needs, usage volume and budget.
LLM-based enterprise assistant
An enterprise assistant is a chat interface where your staff ask questions in their own language and get answers. We configure the assistant for your internal rules, your permission structure and the applications you use.
Internal support
Answer frequent questions about IT, HR and administration.
Text work
Draft emails and letters, summarize long texts, translate.
Meetings and reports
Turn meeting notes into a summary and an action list.
Access control
Link what the assistant shows each user to your permission structure.
Enterprise document search with RAG
With RAG (Retrieval-Augmented Generation), the model bases its answer on information it finds in your own documents. We do not retrain the model. The documents go into a searchable index. For each question the assistant finds the relevant parts, writes the answer from them and shows the source document.
1. Select sources
We choose sources such as policies, procedures, contracts, technical documents, SharePoint and file server folders.
2. Prepare
We clean the documents, split them into sections and index them in a vector database.
3. Map permissions
Users get answers only from documents they are allowed to access.
4. Validate
We test answer accuracy with a sample question set prepared with you.
5. Keep current
New or changed documents go into the index automatically.
AI agents and n8n integration
An AI agent is a language model workflow that uses tools to reach a goal. The agent calls an API, queries a database, opens a ticket or drafts an email. We build agents with the automation tool n8n. According to the n8n documentation, n8n combines different LLM providers with tools, memory and vector databases in one workflow. For details, see our n8n Consultancy page.
Request triage
Classify incoming emails and forms by topic and route them to the right team.
Document data extraction
Extract fields from invoices, orders and forms and pass them to the ERP or CRM.
Ticket summaries
Summarize long support tickets and suggest the next step.
Report drafting
Collect data from several systems and create a regular report draft.
We add human approval to critical steps. Before a payment, a deletion or an external send, the agent waits for approval from an authorized person. We also build rule-based workflows with tools such as n8n, Apache Airflow and Node-RED.
Error alerts and monitoring
The system detects errors in your workflows and alerts you by email, Slack or a channel you choose. We log model calls, usage and cost. So you can see which workflow ran when, with which data and with what result.
Data security and data protection
In AI projects, data security is not a technical detail but the starting point. In every project we apply these steps:
Data classification
We decide with you which data may go to the model and which may not.
Personal data protection
Where personal data is not needed, we mask or remove it before it goes to the model.
Hosting option
Where data must not leave the country, we run the model on your servers or in our data centers. Transfers of personal data abroad need a separate assessment under the applicable data protection law (for example KVKK in Türkiye).
Provider terms
We review the data processing and retention terms of the cloud model provider and report them to you.
Logs and audit trail
We log who asked which question and which source the system used.
Project process
1. Discovery
We review your processes and data and choose with you the tasks where AI helps.
2. Pilot
We build a working first version for one selected use case.
3. Measurement
We measure accuracy and benefit with a sample set of questions and tasks.
4. Rollout
We move the solution to production with permissions, monitoring and backup.
5. Training and support
We train your users and improve the solution regularly.
For your AI project, write to us through the contact form.
Technologies we use
n8n
Microsoft SharePoint
Frequently asked questions
Which AI models do you use?
We use models from cloud model providers or open models that run on your own servers. We choose with you based on your data privacy needs, usage volume and budget. One project can also use more than one model.
Is our data used to train the model?
If we use a cloud provider, we review the provider's data processing and retention terms and report them to you. Where data must not leave your control, we run the model on your servers or in our data centers. At the start of the project we decide together which data goes to the model.
What is RAG and why do we need it?
With RAG, the model bases its answer on information found in your own documents. The model does not know your company's current and private information. With RAG, the assistant finds the relevant document sections for each question, writes the answer from them and shows the source. This method needs no retraining of the model.
Can AI solutions comply with data protection law?
Every project starts with data classification. Where personal data is not needed, we mask or remove it. We assess transfers abroad separately. We set up permissions and logs so that they can be audited. We make the legal assessment together with your data protection officer.
What happens if an AI agent makes a mistake?
We add human approval to critical steps. Payments, deletions or external sends do not run without approval from an authorized person. The system detects errors and alerts you on the channel you choose. Every step is logged.
Do we need coding skills to use it?
No. We do the setup, integration and maintenance. Your users use the assistant through a chat interface. If you choose, we also teach your team to manage the n8n workflows.
Related services
n8n Consultancy
We automate your business processes with n8n. We install n8n on your own server or configure your n8n Cloud account. We design the workflows, connect your systems through APIs and put AI agents into service. After deployment we keep n8n running with updates, backups and monitoring.
Data Visualization and Power BI Consulting
We turn your data into Power BI reports and dashboards. We connect the data sources, prepare the data with Power Query and build the data model with DAX. We share reports securely with row-level security, a data gateway and scheduled refresh. We also help you choose the right licenses.
Microsoft Cloud
We set up, migrate and manage Microsoft 365 and Azure services. As a Microsoft CSP (Cloud Solution Provider) partner, Synchron also provides the subscriptions.
Enterprise File Server
We set up a corporate file server and design the folder structure and access rights for your organization. We also manage backup, remote access and capacity planning.
Let's discuss your project
Tell us what you need and we will match you with the right team. For urgent issues, call our support line.