AI solutions for business automation
Practical AI implementations with measurable business impact.
AI is no longer an experiment — it is a production tool. We use it where it actually saves time and reduces errors: classifying documents, internal team assistants, parsing unstructured input, automatic ticket triage. We don't ship demos that impress. We ship tools that get used every day.
AI that solves real problems
We don't sell hype. We ship tools that save hours daily and reduce errors.
LLM integration
OpenAI, Anthropic, local models. Secure integration into your existing stack with cost controls.
Process automation
Document classification, extraction, summarization, smart routing — running on your tickets, emails, invoices.
Business optimization
AI assistants for internal teams, dashboard insight engines, demand forecasting, anomaly detection.
Integrating LLMs into production systems
We integrate OpenAI, Anthropic Claude, Google Gemini and open-source models (Llama, Mistral, Qwen) into existing applications. Focus on security, cost control and predictability.
Model and provider selection
Closed-source for top quality and lower operational cost, open-source when controlled hosting is required (regulation, data that cannot leave the org), hybrid architectures for the best price-quality balance.
Prompt architecture and evaluation
System prompts, few-shot examples, structured output (JSON schema, function calling), automated eval suites that track quality over time.
RAG (Retrieval Augmented Generation)
Indexing internal documents, vector databases (pgvector, Qdrant, Weaviate), retrieval strategies (BM25 + dense, reranking) and source citations in the answer.
Cost and rate-limit management
Response caching, batched calls, rerouting simple tasks to a smaller model, alerts on token-spend anomalies.
Security and compliance
PII redaction before the model call, audit log of prompts and responses, content moderation, region selection for GDPR.
Process automation with AI
The biggest ROI comes from automating paperwork and manual processing — tickets, emails, invoices, contracts, supplier documents. We build pipelines that do this reliably and transparently.
Ticket classification and routing
Customer support tickets categorized, prioritized and routed to the right team in seconds — with a fallback to a human when the model is not confident.
Document parsing and extraction
Invoices, contracts, dispatch notes, tax forms — structured output (JSON with expected fields) from unstructured PDFs or images, with confidence scores and manual review for edge cases.
Email triage and reply
Classification of inbound mail, contact and context extraction, draft reply suggestions for the agent instead of writing from scratch.
Smart summarization
Summaries of long CRM threads, meeting transcripts and technical documentation — focused on the next action, not just description.
Business optimization with AI
AI doesn't always have to be the main interface — often the highest-leverage use is AI under the hood that helps human teams make better decisions faster.
Internal AI assistants
An assistant that answers questions from internal documentation, suggests reply templates and finds relevant tickets and articles from history.
Demand and inventory forecasting
Models that predict sales per SKU and channel based on history, seasonality and the marketing calendar. Reduces overstock and stockouts.
Anomaly detection
Detection of unusual patterns in payments, orders and system logs. The team is alerted before the issue escalates.
Dashboard insight engine
An AI layer on top of BI dashboards that turns metric movements into a sentence in plain language: 'Conversion is down 12% in Croatia after the price change on variant X.'
Technologies we use
- OpenAI
- Anthropic Claude
- Google Gemini
- Llama 3
- Mistral
- pgvector
- Qdrant
- LangChain
- n8n
- Temporal
Our guardrails
- We never send PII to a model without an explicit decision and documentation
- Every AI output that drives an action carries an audit log and human-review path
- An eval suite runs on every release — we don't discover regressions in production
- Cost control: alerts at 50% / 80% / 100% of monthly budget
- A fallback plan for when a provider goes down or changes pricing
Frequently asked questions
Got a complex software challenge?
We specialize in projects other agencies turn down. Send a brief — we reply within 24 hours.