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AI integration into existing software

We embed AI capabilities — language models, predictions, automations — directly into your existing software stack, without forcing you to switch platforms.

Why is this service important?

Most businesses don't need new software. They need their current tools to work smarter. AI integration unlocks capabilities you already paid for.

  • ✓ Add AI features without rebuilding
  • ✓ Custom integrations for ERP, CRM, internal apps
  • ✓ Faster ROI than full software replacement
  • ✓ Secure, compliant, on-premises options available

Who is this for?

This service is for companies already running internal software (CRM, ERP, custom systems) who want to add AI capabilities without replacing their platforms.

  • ✓ Enterprise clients with long-standing software stack investments
  • ✓ SaaS companies wanting AI features inside their product
  • ✓ Manufacturing and logistics with custom ERP systems
  • ✓ Financial institutions with on-premises regulatory needs

How can you benefit?

Instead of replacing working systems, we embed an AI layer — language models, predictive algorithms, automation triggers — directly on top of your existing infrastructure.

  • ✓ Add AI without rebuilding the software
  • ✓ Faster ROI than full replacement
  • ✓ Keep familiar processes and team training
  • ✓ On-premises and hybrid deployment options for sensitive data

Frequently asked questions

How much does AI integration into existing software cost?

Setup: €4,000–15,000 depending on system complexity and AI feature scope. Monthly: €250–1,500 for hosting, model usage and maintenance.

How long does it take?

Simple integrations (e.g. AI summarization in CRM): 4–8 weeks. Complex enterprise projects with multiple AI workflows: 3–9 months.

Can you integrate AI into my custom ERP?

Yes, if there's API or DB access. We build an adapter layer that talks to AI models without changing core ERP functionality.

What AI capabilities can you add?

Document understanding, automated email drafting, predictive analytics, anomaly detection, semantic search across databases, intelligent routing, AI-driven recommendations and internal chat assistants.

Is it secure for enterprise data?

Yes — we support on-premises deployment with open-source models (Llama, Mistral) and private cloud (Azure OpenAI, AWS Bedrock) with full data isolation. SOC 2 and GDPR compliant.

What about legacy systems without a modern API?

We use various approaches: database-level integration, RPA (UiPath, Automation Anywhere) for UI scraping, or middleware adapters. In most cases there's a solution.