Applied AI
AI that works in production, not in slide decks
We use AI where it reduces real work: reading documents, validating data, detecting anomalies and alerting you before the problem reaches your team.
Honesty before marketing
AI at Plexum is primarily in consulting and process automation, not as a headline feature of every module. We don't sell AI because it's trendy. We add it where the return is measurable and the maintenance is manageable.
Real use cases
What we have already deployed in production or can implement with your stack in weeks.
- OCR for delivery notes and invoices
- Automatic data extraction from scanned or photographed documents. Products, quantities, amounts and supplier without typing anything.
- Validation agents
- An agent reviews incoming data (orders, records, entries) against your business rules and flags errors before they reach the team.
- Proactive alerts
- When an employee hasn't clocked in on time, when a client hasn't been contacted in 30 days or when a delivery note has a discrepancy: the system notifies you without anyone having to look.
- Anomaly detection
- Unusual patterns in clock-in records, amounts or activity frequency. The model learns your baseline and flags deviations.
Technologies we use
We choose the model and library that best fits the case, not the most fashionable one.
- OpenAI / GPT-4o
- Text extraction, classification and generation in context.
- Anthropic Claude
- Long-form reasoning and complex document review.
- Google Gemini
- Multimodal processing and very long contexts.
- LangChain / LangGraph
- Agent orchestration and processing chains.
- OCR (Tesseract / AWS Textract)
- Text extraction from images and scanned PDFs.
How it fits into the platform
AI doesn't live in the modules: it lives in the integrations layer. The core defines the ports; the adapters connect the models. No vendor lock-in.
- Standard port in the core: the module calls the port, not the vendor SDK
- Vendor adapter in the integrations layer: switch models without touching business logic
- Per-tenant configuration: each client can use their own API keys
Service models
Depending on the case, we work as a monthly add-on or as a fixed-scope project.
Monthly add-ons
Basic add-on
One specific AI feature: alerts, classification or automatic summaries. Integrated into the platform.
Advanced add-on
OCR + validation + integration with your existing workflow. Setup included.
Premium add-on
Custom agent with your own business logic, maintenance and monthly tuning.
Implementation projects
Small project
Scoped automation: one flow, one document type, one process. Delivered in 2–4 weeks.
Full project
Multiple flows, integration with external systems and technical documentation. Fixed scope.
Tell us your most painful manual process
In 30 minutes we assess whether AI can solve it and what it would cost. No commitment.