Microinvest and AI: how integration works and what to expect

Microinvest is the standard for accounting and warehouse software in Bulgaria — over 100,000 companies use it daily. That makes it the most common system Bulgarian AI agencies need to integrate with. This article describes how it is done, what the traps are, and when the investment pays back.

Which modules support integration

Not every Microinvest module is equally open to external systems. In our experience, the most accessible for AI integration are:

• Microinvest Sklad Pro (warehouse) — stable SDK and a wide base of community integration examples.
• Microinvest TRZ and payroll — reading is easy; writing requires more care due to regulatory requirements.
• Microinvest Delta Pro — for specialized accounting firms; integration requires a separate license.
• Microinvest Archimed — hospital information system, separate case with its own rules for processing medical data.

Which data gets extracted most often

In over 70% of the cases we see, AI integration revolves around one of these three tasks:

1. Automatic invoice writing from PDFs into Microinvest Warehouse. AI reads the email attachment, extracts supplier, date, amount, VAT, description, and posts a new document. One of the highest-ROI integrations.
2. Real-time inventory lookup for a site chatbot. When a customer asks "do you have product X," the chatbot queries Microinvest directly instead of using a cached list.
3. Automatic quote generation based on customer history. An AI agent reads the customer's previous orders from Microinvest, calculates a personalized discount, generates a quote, and sends it for sales approval.

Technical approach

Microinvest offers two integration paths:

Local SDK

COM/COM+ interface for direct database work. Faster and more stable, but requires a Windows server or workstation that stays online. Suitable for in-house automations (factory, warehouse, firm with a local server).

Cloud bridge

For companies that want the AI part in the cloud — usually a small service sitting on the client's local server and exposing an HTTPS API to the cloud AI infrastructure. More complex to build but more stable long-term and works with multiple locations at once.

Traps we see often

1. Different Microinvest versions across one company. An accounting firm may have 80 clients, each on a different minor version. AI logic must handle a range of schemas, not just the latest.
2. Localized fields. Field names and text enumerations are often in Bulgarian. AI must know that "платена," "payed," and "paid" can mean the same thing depending on the version.
3. Automated entries requiring VAT registration. If the company is not VAT-registered and AI tries to write to a VAT field, reports become inconsistent.
4. Concurrent writes. Microinvest does not always like parallel work from many processes. AI agents need solid retry logic and must not block the accountant's UI.
5. Archived periods. Writes to a closed accounting period are blocked — AI must catch this and offer alternatives (write to the current period plus a correction note).

When it is worth it

AI integration with Microinvest makes sense when:

• You process at least 500 documents monthly by hand in a standard format.
• You have at least 1,000 items in the base and customers regularly ask about inventory and timelines.
• You have repeating accounting record checks someone does daily.
• You have at least one person on the team who understands Microinvest well enough to explain nuances to an AI developer.

Not worth it if: you have under 50 daily transactions, use different versions without a unification plan, or have no one on the team who can explain how exactly you work.

Expected cost

For a small integration (one process, e.g., automatic invoice writing): 5,000 - 8,000 EUR one-time plus 100-200 EUR monthly for infrastructure.

For medium (3-5 processes with bidirectional sync): 12,000 - 25,000 EUR. This category usually pays back in 4-6 months.

For full (AI orchestration over the entire warehouse operation): 30,000 EUR and up, with significant value for distribution companies with multiple sites.

Frequently asked questions

Is Microinvest launching an official AI service?

As of May 2026, Microinvest has no publicly announced AI product. This may change — the company definitely sees the pressure. For now, AI integrations are built as side projects by partner developers.

Is there a risk a Microinvest upgrade breaks the integration?

Minimal for point upgrades. Significant for major version transitions. So the integration must include automated tests plus a quick-adaptation plan — typically 2-3 days of work.

Can I do the integration myself?

Technically yes, if you have a strong developer with COM or Windows services experience. Practically — rarely worth it. The first 80% of work looks simple; the last 20% (error handling, multi-tenant scenarios, concurrent writes) is where side projects die. An experienced external team will do it in 4-6 weeks; an internal beginner in 4-6 months or never.

What happens to maintenance if I switch AI providers?

Depends entirely on how the integration was written. Healthy practice: all code in your Git repo, Bulgarian-language documentation on the ER diagram, training for two of your team. Bad practice: everything in a third-party cloud, source code locked under license. Ask specifically before signing.

Have a specific Microinvest case you want to automate? Describe it in the chat on the home page — in a minute you get an initial plan with approximate scope.