Documents and knowledge
The company has internal documents, procedures or price lists and needs faster search or answer preparation.

We design focused, safe AI automations for documents, emails, internal requests, reports and company workflows with clear value measurement.
OpenAI API and Vercel AI SDK
RAG over company documents
Embeddings and search
Human review for sensitive outputs
Technology
AI automation at AM Soft starts with one concrete process: documents, emails, internal questions, reports or data classification. We first measure the current effort, then build a prototype and only connect it to company workflows after the value is proven.
When it fits
The company has internal documents, procedures or price lists and needs faster search or answer preparation.
Similar questions, requests or message classification repeat and the team spends time processing them manually.
Data is copied between systems, reports are prepared manually or the process needs better visibility.
What we deliver
We choose a process where time spent, error rate or response speed can be measured.
We build a small prototype with OpenAI API, RAG, embeddings or workflow integration depending on the need.
We set access rights, logging, human review and gradual integration with production workflows.
Focused AI stack for practical automation
What makes this service distinct
This is not a business website page, SEO page or a generic list of modern technologies.
AI solution types
RAG over company documents
Internal AI assistant
RAG over company documents
An assistant answers questions using internal documents, rules or knowledge base instead of generic answers.
Classification and answer drafts
Email processing
Classification and answer drafts
AI can prepare a draft response, classify a request, extract key data or move a task into the next workflow step.
Repeated internal outputs
Reports and summaries
Repeated internal outputs
Automation can prepare summaries from data, documents or requests and reduce manual administration.
01
We do not start with a big transformation, but with one workflow and a clear metric.
02
We verify answer quality, data safety, review level and practical value.
03
Only after validation do we connect the solution with tools, APIs or internal systems.
FAQ
AI can help with documents, emails, internal requests, reports, FAQ, data classification or answer drafting. It works best for repeated processes.
RAG is an approach where AI answers with help from company documents or a knowledge base. It is useful when answers must be based on concrete rules, price lists or procedures.
Safety depends on architecture, access rights and the type of data. Sensitive data requires permissions, logging, output review and clear rules for what is sent to external APIs.
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Let's discuss your project
Have an app, website or internal process in mind? Send us a message and we will suggest the next practical step.