Software Architecture & AI Integration

Integrate AI into your software without rewriting your stack.

Add intelligent workflows, RAG document search, automated data parsing, and smart triage directly into your existing Spring Boot, Node, Python, or web applications.

Book a free software consultation →Projects start from €3,500 fixed
Production Architecture Pattern

How AI Integrates Into Your Existing Software

No need to rewrite your application. AI capabilities connect directly to your existing APIs, databases, and business rules through secure guardrails.

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Step 01

Your Existing Stack

Java / Spring, Node.js, Python, React, PostgreSQL, or custom APIs.

REST APIsWebhooks
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Step 02

Guardrails & Control

TramAI / Governance layer. Schema validation, rate limits & approval gates.

Structured OutputData Redaction
Step 03

AI Intelligence

Hosted LLMs (OpenAI, Anthropic) or Private Sovereign Models (Ollama/vLLM).

RAG Vector DBAgent Tools
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Step 04

Action & Output

Automated CRM updates, document extraction, or human-in-the-loop review.

Audit LogHuman Handover
100% Code Ownership & Production Privacy Standard
Discuss your software architecture →
Interactive Estimation

Calculate Your AI Integration Scope

Select your parameters to see the recommended architecture pattern, timeframe, and cost tier.

Estimated Integration ScopeProduction Ready
Timeframe2–3 Weeks
Recommended Tier€3,500 Fixed Agent Tier
Primary FocusSchema Guardrails & Vector RAG

Ideal for introducing governed RAG search into your stack with strict data boundaries and clear human approval.

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What you receive

Engineering outcomes built for production reliability.

  • Seamless REST API & webhook integration with your existing stack (Java, Node, Python, C#, PHP).
  • Strict data guardrails, schema validation, and structured outputs for production safety.
  • Enterprise RAG & vector storage for querying internal company documents securely.
  • Human-in-the-loop approval workflows for sensitive business operations.
  • Observability, error handling, audit logging, and portable deployment via TramAI when needed.
  • Full source code ownership, documentation, and operational team handover.

Our Integration Process

From operational codebase to AI-powered application.

1. Architecture & Audit

We evaluate your current codebase, API endpoints, data structures, and data privacy requirements to design the smallest safe integration path.

2. Guardrails & Connectors

We build structured API connectors, schema validators, vector embeddings, and approval logic so AI responses are predictable and verified.

3. Production Launch

We deploy the integration into your environment, run real test scenarios, measure performance, and deliver clear operational documentation.

Questions

What to know about AI software integration.

Do we need to rewrite our application to add AI capabilities?+

No. AI capabilities connect directly to your existing backend through standard REST endpoints, webhooks, or message queues. Your core architecture remains intact.

What tech stacks do you support for AI integration?+

We specialize in Java / Spring Boot, Kotlin, Node.js / TypeScript, Python / FastAPI, .NET, PostgreSQL, and enterprise CRMs. If your software has an API, it can be integrated.

How do you prevent AI models from making mistakes or leaking sensitive data?+

We implement schema validation (Pydantic / Zod / Java DTOs), explicit input/output guardrails, access controls, and human approval gates for critical actions.

Can we use private models or self-hosted AI for EU compliance?+

Yes. We support hosted cloud models (OpenAI, Anthropic) as well as private, self-hosted models (Ollama, vLLM, TramAI) when data sovereignty or EU AI Act compliance is required.

How much does AI software integration cost?+

Targeted integration projects start from €3,500 fixed price. We scope all requirements, data flows, and deliverables before development begins.

Book a Software Consultation

Choose a time below for a free consultation to discuss your integration project.