Fill out the form and submit your application.
AI Assistants & Knowledge Systems
Agentic Workflow Optimization & Cost Reduction
An LLM that responds is a tool. One that acts is a system.
The difference between a chatbot and an AI agent is the same as between someone who gives you information and someone who solves the problem. An agentic system does not just generate text — it reasons about context, decides which action to take, calls the right tools, handles exceptions and brings the process to completion.
We design custom agentic workflows: multi-agent architectures that orchestrate LLMs, external tools and knowledge bases in autonomous pipelines, optimized to reduce operational costs and scale without adding staff.
Problems we solve
Blocked knowledge, critical dependencies and inefficiencies holding back growth
Processes requiring reasoning, not just execution
Classic automations follow fixed rules. When context changes they get stuck. An agentic system reasons and adapts.
Complex workflows broken into too many manual steps
Routing a request, retrieving information, deciding the correct path, acting: every step that requires a human is a bottleneck.
Operational costs that grow with volumes
More requests mean more staff — unless there is a system that scales without doing so.
Expensive LLMs for tasks that do not require them
Using a large model for every step of a workflow is inefficient.
Use Cases
Real projects, measurable results
01
In technical support contexts, we developed agentic systems that receive requests in natural langua…
Technical support — Intelligent routing and autonomous resolution
In technical support contexts, we developed agentic systems that receive requests in natural language, classify them by type and complexity, retrieve relevant information from the knowledge base and — when possible — resolve autonomously.
Fewer unnecessary escalations. Operators intervening only where truly needed.
02
Agentic pipeline for managing incoming email flows: request classification, identification of the o…
Mail routing and management — Automatic optimal workflow
Agentic pipeline for managing incoming email flows: request classification, identification of the optimal workflow path, automatic routing to the correct team or system, with response or consequent action generation.
The system reasons about content, does not apply fixed rules.
Technology Corner
The architecture and technologies that make the difference
Our projects don't rely on off-the-shelf solutions. Every system is designed on the right architecture for the specific problem — and the technology choice makes the difference between a tool that works in demo and one that holds up in production.
Multi-agent architectures
- ✓ Multi-agent systemsspecialized agents for specific tasks and central orchestrator
- ✓ Multi-agent RAG systemdistributed reasoning on complex knowledge bases
- ✓ Persistent memory between sessionsand shared context management between agents
Orchestration and frameworks
- ✓ LangGraphagentic workflow orchestration with explicit flow control
- ✓ Tool use and function callingintegration with external systems, APIs and databases
- ✓ Ontological graphdomain knowledge modeling and structured reasoning
Models and cost optimization
- ✓ Intelligent routing between modelslightweight local models for simple tasks, advanced for complex reasoning
- ✓ Inference cost reductiondynamic model selection based on task complexity
- ✓ Logging and traceabilityof every step of the agentic workflow
Interested in this service?
Contact us for a free consultation and find out how we can help you.
Request Info