AI Business Analyst for Your Company

An AI business analyst who knows your whole business, answers in seconds, and works 24/7

Your data stays completely private, under your control, inside your business.

Just ask, in plain language — about your sales, finances, marketing, or documents — and get a clear answer, report, or recommendation back. No spreadsheets, no waiting, no tasking your team.

Signs this fits your business

This solution works best for companies with structured data spread across multiple systems, where reporting is done manually and takes too long.

Good fit
  • Data is spread across several systems — reports are assembled manually
  • You have a data analyst or regular reporting requests
  • C-level wants to ask business questions directly, without intermediaries
  • You run regular operational reports (daily / weekly)
  • Your verticals: logistics, iGaming, e-commerce, manufacturing, legal
Requires a separate conversation
  • Bank or financial institution with PCI DSS — data cannot leave the perimeter at all. Only a local solution, which is expensive and takes months
  • Client does not know their own data structure and cannot assign someone to onboarding — discovery will drag on

What your team
will ask it every day

Accurate on dry facts and numbers — the agent pulls data from your database, not from its own imagination. Forecasts are always positioned as forecasts.

Business need What the agent does
Operational reporting Daily / weekly reports on schedule (Scheduled Tasks): open in the morning — the report is already ready
Data analytics Aggregation, grouping, historical analytics, forecasts — questions in plain language
CRM / Sales Who to call today, daily activity plan for each manager based on live CRM data
Call quality control Transcription analysis: does the manager follow the script, does the script itself work
Marketing Correlation between campaigns and sales, channel analysis
C-level Comparison with competitors via open sources, growth points, development vectors
Documents (legal etc.) Search across gigabytes of documents by meaning, not by words (vectorization / RAG)

Three components.
One working system.

01

LLM — the brain

Claude or ChatGPT understands your question in plain language, builds the right query to your data, analyzes the result, and formulates the answer.

02

MCP server — the bridge

Our API between the LLM and your data. Installed on your side — cloud, on-premise, or bare-metal. It calls functions, returns only the query result, can filter and anonymize data on output.

Your data is never transferred — the LLM receives only the compact result of a specific query, not the whole database.
03

Your data — stays yours

Databases, CRM, ERP, documents. Nothing moves. Access only through VPN — without VPN, there is no connection, and external access is physically impossible.

User
Question in plain language
Claude Desktop / ChatGPTLLM — the brain
Client perimeter — VPN only
MCP Serverfunction calls · anonymization
SQL / ClickHouse
CRM · ERP
Vector DB · RAG

Six ways to connect AI
to your data

We select the right approach based on your data structure, volume, and security requirements.

RAG · Vectorization
Documents are converted to vectors: search by meaning, not by words. The LLM sees only relevant chunks.
When: gigabytes of documents, legal, knowledge bases
Ready connectors
Open-source MCP for known platforms already exists — we take it ready and adapt for the client.
When: Shopify, Figma, ClickHouse, etc.
API · Tool use
Model calls directly from code — AI is embedded in the client's own product.
When: chatbots, embedded assistants
Scheduled tasks
A prompt runs on a schedule — the report is ready every morning without a request. Open the app, the report is already there.
When: regular reporting (daily / weekly)
Local LLM
Model fully inside the client perimeter. Expensive entry: server from €60–100k, training takes months. Quality still lags behind Claude / GPT.
When: regulatory bans on data leaving the perimeter (PCI DSS)

What clients ask

Transparent pricing

The exact estimate is given after a free discovery call. What increases the price and timeline: number of data sources, security requirements, document vectorization, unclear data structure on the client side.

MVP (1 source or DWH)
$2,000–5,000
1–2 weeks from kickoff. One data source connected, first results visible.
Full project with security architecture
~3 months
Real case: iGaming holding, bare-metal + ClickHouse + anonymization + VPN. Complex multi-source setup.
LLM license (ongoing)
~$150/mo
Corporate subscription from 5 users. Fixed monthly — no extra charges per token. Anthropic and OpenAI guarantee data is not used for training.

Not sure what your business actually needs?

Start with a structured audit of your business data and systems.

What You Get

We look at how your CRM, ERP, finances, and reporting work today — and identify where an AI agent can save your team the most time.

  • 60-minute strategy call to review how your business currently handles data and reporting
  • Audit report with improvement opportunities and a suggested system structure
  • Development roadmap and cost estimate for a custom AI agent
  • Follow-up call where we present the findings and answer questions
Special offer
$500 $100
Get the System Audit

The audit fee is fully credited toward development if you proceed with the project.

Not sure if the audit is right for you? Book a short free call and we'll quickly review your business data and systems, and help you decide whether an audit or a custom AI agent makes sense for your situation.

Book a free consultation call

Enterprise security.
Startup speed.

🛡️

3 levels of data protection

Anonymization at input (LLM sees IDs, not names). VPN-only connector access. Corporate contract with Anthropic / OpenAI: isolated instance, no model training on your data. ISO 27001 certified.

MVP in 1–2 weeks

First results in under a week. No months-long BI implementations. Connect one source and start. Tuning continues as long as needed.

🔌

Any stack, any source

CRM, ERP, TMS, SQL, ClickHouse, MongoDB, Google Sheets, APIs, documents. Stack-agnostic: .NET, PHP, Node — does not matter. If there is data access, we connect it.

🎯

Accurate on facts, honest on forecasts

Numbers come from the client database, not from the model. To reduce hallucinations: full table and column descriptions, entity mapping, tuning on real client queries.

💰

Fixed monthly cost

Flat subscription — you know exactly what you spend. No surprise per-query charges. From ~$150/month for the AI license.

📈

Gets smarter over time

We watch real queries, tune responses from both sides — client feedback + our own analysis of query efficiency and token usage.

Our awards

Independent platforms rank Archysoft on verified client reviews and delivered projects.

Upwork Top Rated
Clutch
Top Android App Developers
Top Web Development Companies
Bubble Certified Agency
TechBehemoths Award

Ready to talk
to your data?

Tell us about your data sources and we will walk you through what is possible — in a free 30-minute discovery call. Our tech lead joins to validate and give a real estimate.

Free discovery call — no commitment
NDA available before any technical discussion
Response within 24 hours
Exact estimate only after discovery — we don't quote blind
📅
Book a 30-minute call
Pick a slot that suits you. We will map your data sources on the call and tell you straight away what is realistic.
Book a call on Cal.com
Free · No commitment · NDA on request