Fijomi Systems Spam Escudo
AI agents run daily checks for issues and raise tickets automatically. Every week we analyse what reached the LLM stage and turn it into better rules, so more spam is caught in the earlier, cheaper stages.
Services · AI Agents
AI agents that do real work, within clear boundaries.
Agentic AI is moving from demos into day-to-day operations. We build autonomous and semi-autonomous AI agents that carry out real tasks, such as monitoring systems daily, spotting issues, raising tickets and taking action, and we decide deliberately what each agent may do alone and where a person signs off.
What our AI agents do
- Run scheduled checks on systems and data, and raise a ticket when something looks wrong.
- Read incoming content, decide what it is and route it to the right place or person.
- Take action through your existing tools and APIs, including through MCP servers.
- Hand over to a human when confidence is low or the stakes are high.
Built to be economical
An agent doesn’t need a frontier model for every step. We combine deterministic rules, small fine-tuned models and large language models in the most cost-effective order, so the expensive models only see the cases that need them. Each week we review what reached the costly stages and move more of the work to the cheaper ones.
Frameworks we use
We are model-agnostic and work with agentic frameworks such as LangGraph, LangChain, CrewAI, AutoGen, SmolAgents and LlamaIndex, with commercial models (Claude, ChatGPT, Gemini) or open-source models run privately. See our technology stack.
Related work
MCP server for CLEAN_Address
We built a Model Context Protocol (MCP) server so that AI assistants and agents can use Runner’s CLEAN_Address product directly.
Frequently asked questions
What is an AI agent?
An AI agent is software that uses a language model to decide on and carry out steps towards a goal, using tools such as APIs, databases or ticketing systems, rather than only answering a question.
Will an AI agent act without supervision?
Only where you decide it is safe. We map the process with your team first and set explicit boundaries: what the agent may do alone, what needs approval, and when it must hand over to a person.
Do AI agents have to use expensive models?
No. We use rules and small fine-tuned models for routine, high-volume steps and keep larger models for the steps that need real reasoning.