AI agents · Automation · Business tools
AI agents.
Tools that serve a purpose.
I design AI agents and custom tools to connect your applications, make use of your documents and simplify your teams’ work.
From audit to go-live, then onboarding for your teams.
01A project in production
From need to product.
Plaidoria · Product in productionPlaidoria
A legal drafting tool I designed, built and run myself. The references it produces are checked against official sources, and the lawyer stays in control of the document.
- Use
- Sourced legal drafting
- Role
- Design, development, operation
- Status
- Commercial product in production
02What we can build
The right system, for the right use.
Connect your tools, process your documents or build a business application. AI comes in where it adds value; for established rules, deterministic processing is enough.
AI agents & API integrations
Agents · APIs · AutomationConnect an assistant to your tools to search, prepare or carry out actions, with explicit permissions and controls.
Document automation
Transcription · Extraction · SummarizationTurn recordings and documents into structured information, with the necessary checks.
Applications & business tools
Internal applications · Interfaces · WorkflowsBuild an application that fits your processes, from the interface to the connections with your existing tools.
Sovereign AI & knowledge
Local LLMs · RAG · On-premise deploymentPut your documents to work, integrate a local model and keep control of data flows when your context requires it.
03Engagement formats
Three ways to move forward.
Clarify a decision, build a tool or support your team. Where you start depends on what you need today.
- See this format: Audit & scoping
Audit & scoping
Know what to build, with which data and for what use.
- See this format: Design & deployment
Design & deployment
Move from a defined need to a usable, verified system.
- See this format: Training & support
Training & support
Help your teams choose, use and evolve their tools.
04Selected work
Different problems. The same standard.
Internal applications, automation and AI: each project details its context, its constraints and the solution built.
Starting points
Before we start.
The choice of solution comes after understanding your need.
My need is still vague. Where do I start?
Describe a task that takes too long, a missing tool or a decision to make. The first conversation clarifies the problem; an audit can then help define a scope before any development.
Do I have to use AI?
No. A business rule, a connection between two applications or conventional software can be enough. AI is chosen when it brings real value to the use case, with results and limits that can be verified.
Cloud or on-premise deployment?
Both are possible, depending on the project. The choice depends on data sensitivity, your tools, the expected performance and your operating resources. These constraints are clarified during scoping.
How do we prepare for what comes after delivery?
Documentation, onboarding, operations and future changes are planned from scoping onward. What will be handed over and the support you expect are set out in the scope of the engagement.
Let’s build what comes next
Let’s talk about your next tool.
You deal directly with Ridenn Zavatta.
A few lines about your context and what you want to improve are enough to get started.
- Your context
- The outcome you want
- Your known constraints
The first conversation
We clarify the need and the first useful step: scope an idea, build a tool or support your team.
Or directly by email
zavattaridenn@gmail.com


