// R&D

Conversation for Action

Assistants that don't just talk: they act

in development

// What it is

Conversational systems that go beyond the chatbot: they open cases, authorize flows, write directly to the systems already in use, always with full tracking of what they have done and the ability to undo every action.

// Where we are

Q2 2026
Typed tool registry + persistent audit log
Q3 2026
Saga compensation engine + deterministic replay
Q4 2026
PoC on a PA citizen desk with 3 operational intents
// Technical details · for industry insiders +

Technical problem solved

Current AI assistants produce text. Organizations need action: automatic protocols, state mutations on their own systems, integrations with legacy stacks. The problem is making an LLM perform actions in a verifiable, auditable way with automatic compensation in case of failure.

Technical positioning

Conversational agents for action · PA/enterprise · beyond the chatbot

Architecture / approach

  • 01 Multi-turn intent recognition layer
  • 02 Typed tool registry — every action is declared, validated, revocable
  • 03 Compensation engine — saga pattern on failed external actions
  • 04 Immutable audit log for every action performed by the agent

Technology stack

LangChain MCP FastAPI PostgreSQL Ollama / vLLM OpenAPI 3.1

TRL and development status

PoC · TRL 5/7
Current TRL
5
Target TRL
7
Phase
PoC

Reference standards

AgID Linee guida AI PA OpenAPI 3.1 MCP (Model Context Protocol)

// Related services

The expertise behind Conversation for Action directly powers some of our project-based services:

Approach to intellectual property

Why we patent and what it means for clients

// Other R&D projects