Process Automation & Traditional ML
Machine learning and deep learning to automate repetitive operational tasks
Not every automation needs a large language model (LLM). Many repetitive operational tasks — classifying documents, extracting data, spotting anomalies — are better solved with targeted machine learning and deep learning models. We use supervised machine learning and deep learning (ML/DL) to automate document classification, entity recognition for data entry, and anomaly detection to prevent failures or fraud.
The service in brief
- Service
- Machine learning and deep learning to automate repetitive operational tasks.
- When you need it
- There are high-volume tasks — documents, data entry, checks — that are still done by hand today.
- R.O.C.E. phase
- Evolve: the fourth phase of the Miriade R.O.C.E. methodology (Recover · Optimize · Control · Evolve).
- Area
- Part of "Getting AI into Production," among the AI & Analytics services that sit alongside the AI path.
- Scope
- Supervised ML/DL, automatic classification, entity recognition, anomaly detection.
- Distinct from
- The generative AI path (LLMs, retrieval-augmented generation) and BI & Decision Intelligence (predictive analytics to support decisions).
When repetitive work eats up time
The service is useful for high-volume, regular operational activities, where a trained model does the job better, faster, and at lower cost than manual work.
The right model for the task
Supervised ML/DL
Machine learning and deep learning models trained on your labeled data and tuned to the task to be automated.
Automatic classification
Automatic document classification to sort, route, and label large volumes without manual effort.
Entity Recognition
Entity recognition to extract information from documents and automate data entry.
Anomaly Detection
Detection of anomalous behavior to prevent failures (predictive maintenance) or fraud before they cause damage.
Not all AI is generative
Value does not always come from an LLM: often it is the targeted model that solves the problem.
For a repetitive, well-defined task, a classifier or an anomaly detector is more accurate, faster, and cheaper than a generative model. The skill lies in choosing the right tool for the problem, not the most fashionable one.
The technologies we use
Some of the technologies and platforms we work with on this service.
The AI path and the other services
The area brings together four pillars along the R.O.C.E. path for generative AI, plus two "classic" AI & Analytics services — this one among them.
AI-Ready Data & RAG Enablement
Data, documents, and knowledge bases ready for LLMs, RAG, and AI agents.
OptimizeAI Context & LLM Optimization
Context, tool, and cost efficiency for LLMs and agents.
ControlAI in Production Enablement
Stabilizing, optimizing, and managing AI already in production.
ControlContinuous AI Managed Service (MirAI)
The Miriade monthly managed service for your AI systems.
Process Automation & Traditional ML
ML and deep learning to automate tasks: classification, anomaly detection.
You are hereBI & Decision Intelligence
The evolution of the dashboard: from historical data to predictive models.
Frequently asked questions
What is "traditional" machine learning?
Models trained on labeled data for specific tasks — classifying, recognizing entities, detecting anomalies — as distinct from generative models (LLMs).
Why not just use an LLM?
For many repetitive, well-defined tasks, a targeted model is more accurate, faster, and cheaper than a generative model.
What does anomaly detection do?
It detects anomalous behavior to prevent failures — predictive maintenance — or to catch fraud before it causes damage.
Do you need a lot of data?
Supervised models need labeled data: together we assess the availability and quality of your data and the feasibility of the use case.
How is it different from BI & Decision Intelligence?
That service delivers predictive analytics to support decisions. This one automates operational tasks with dedicated ML models.
Does it integrate with existing processes?
Yes. The goal is to automate tasks within the workflows you already have, reducing manual work and errors.
Do you have a repetitive task to automate?
Tell us which operational activity you want to automate and what data you have available: together we assess whether a targeted machine learning model is the right solution and how to put it into practice.
Automate the right task
Tell us which operational activity you want to automate and what data you have: we assess whether a targeted machine learning model is the right solution and how to put it into practice.
We use the data you submit only to contact you about this request.
