Document analysis
Extraction, classification and summarisation of content from PDFs, scans and spreadsheets.
RAG · Vector databases
Artificial intelligence built into your processes
We bring artificial intelligence where it delivers concrete benefits: document extraction and classification, assistants based on the organisation’s own documentation, content generation, integrated with the systems already in use.
How we integrate AI
Integrating AI means adding artificial intelligence models to the steps of a process that today require reading, searching or writing text: extracting data from a document, classifying it, summarising it, answering a question.
We work with the main models, such as OpenAI, Claude and Gemini, and with RAG architectures: the assistant answers from the organisation’s own documents, retrieved from a vector database, rather than from the model’s general knowledge alone.
For recurring document work, such as application reviews, checks and audits, and case file analysis, we also offer Athena AI Service, the ready-to-use platform that MITH resells in Italy.
OpenAI · Claude · Gemini · RAG · Vector databases
What we build
Artificial intelligence applied to processes and products.
Virtual assistants
Assistants for citizens and staff, based on the organisation’s own documentation.
OpenAI · Claude · Gemini
Content generation
Draft texts, replies and documents generated from the organisation’s data.
AI in products
Artificial intelligence features built into management systems, portals and apps, new or already in use.
Ready-made or custom
The solutions can be combined: dedicated software can integrate Athena into the organisation’s workflows.
Athena AI Service
The AI as a Service platform for document work: ready-made templates in the library, no prompts to write. MITH is its Italian reseller.
Automation and integrations
API integrations and workflows that bring the results of AI into the systems in use.
Custom software
Dedicated management systems, portals and apps, with AI features built in where they are needed.
How we work
From analysis to full operation: every project starts by mapping real processes and moves forward through incremental releases, with agreed performance indicators.
- 01
Analysis
Mapping of current processes: activities, volumes, systems involved, regulatory constraints and pain points.
- 02
Design
Definition of the target process, the integrations required and the performance indicators.
- 03
Delivery
Development of automations, API integrations and artificial intelligence components, with incremental releases.
- 04
Operation
User training, monitoring, support and ongoing development over time.
Frequently asked questions
Which AI models do you use?
We choose the model based on the task and the project’s requirements; we work with OpenAI, Claude and Gemini.
What is a documentation-based assistant (RAG)?
It is an assistant that, before answering, retrieves the relevant passages from the organisation’s documents, indexed in a vector database, and answers from them. Its answers are based on the organisation’s information, not just on the model’s general knowledge.
Athena or a custom solution?
Athena suits recurring document work, such as application reviews, checks and audits, and case file analysis, because it is ready to use and needs no development. A custom solution is needed when the process requires dedicated features, interfaces and integrations. The two can be combined.
Where do we start?
With an initial meeting to identify the tasks where AI brings concrete benefits, then a pilot project on a sample process, with agreed goals and indicators.
How we start a project
We propose a three-phase path. Each phase ends with a shared review of the results before moving on to the next.
Phase 1
Discovery meeting
- Understanding your needs and choosing the processes to automate
- Gathering volumes, systems in use and regulatory constraints
- First solution options, custom-built or with Athena
Phase 2
Pilot project
- Automation of a sample process
- Goals and indicators agreed together
- Joint evaluation of the results
Phase 3
Roll-out
- Extension to other processes and departments
- Integration with the systems in use
- Staff training and ongoing support