From a prompt to a controlled action

What we build

The agent is only one part of the solution. Reliable delivery also requires integrations, permissions, interfaces, monitoring and a clear owner for each business decision.

Business process agents

Agents that interpret a request, collect the required information and execute a controlled sequence of actions across approved tools.

CRM and ERP integration

API and middleware integrations with CRM, ERP, email, databases and internal applications, without replacing the systems of record.

Document and knowledge agents

Assistants that search manuals, procedures and company documents, return traceable answers and respect role-based access rules.

Human approval and audit logs

Sensitive actions can stop for approval. Each step can be logged so the company can review what happened and why.

Delivery process

How an AI agent moves into production

01

Process discovery

We map the users, inputs, decisions, tools, exceptions and measurable result before choosing the technical approach.

02

Prototype

We validate one high-value workflow with real examples and clear acceptance criteria before expanding the scope.

03

Integration and controls

We connect approved systems, define permissions, add human review points and test expected and exceptional cases.

04

Production and improvement

We deploy, monitor, document and improve the agent with the people who use it in daily operations.

Business applications

AI agent development solutions for real workflows

Sales operations

Qualify inbound leads, prepare follow-ups, update CRM records and route opportunities to the right person.

Customer support

Read a request, retrieve the relevant customer and product context, prepare an answer and escalate exceptions.

Order and document processing

Extract information from emails and files, validate it against business rules and prepare records for the ERP.

Technical knowledge

Help service and production teams find answers in manuals, procedures and previous interventions with source references.

Reporting

Collect authorised data from multiple systems and prepare recurring operational reports for human review.

Custom SaaS products

Embed agent capabilities into a proprietary platform designed for customers, partners or internal teams.

Security and governance

Designed around permissions, data and accountability

Deployment options

Depending on the data and requirements, the architecture can use managed cloud models, private environments or models deployed on infrastructure agreed with the customer.

Human oversight

We identify actions that can run automatically and actions that must wait for a person, with logs and access rules defined for the workflow.

For European consortia and funded initiatives, see our page for an Italian technology partner for EU projects.

Frequently asked questions

Working with an AI agent development company in Italy

Is Agentix an AI agent development company in Italy?

Yes. Agentix is a software house based in Bergamo, Italy. We design custom AI agents, software and integrations for Italian and European companies, working remotely and arranging on-site sessions when useful.

Do you offer a ready-made AI agent platform?

We mainly build around the customer’s process and systems. We can reuse proven technical components, but permissions, integrations, interfaces and controls are designed for the specific project rather than sold as a generic one-size-fits-all platform.

Can an AI agent work with our existing CRM or ERP?

Often yes, provided the system offers suitable APIs, database access or approved import and export methods. We verify the product, version, licences, permissions and security constraints before confirming feasibility.

How do you keep AI agents under human control?

We define role-based permissions, restricted tools, approval steps for sensitive actions and logs for traceability. The exact controls depend on the process, the data and the operational risk.

Can you work with an internal IT or software team?

Yes. We can own the complete delivery or contribute architecture, AI modules, integrations and testing alongside the customer’s internal team, with responsibilities agreed before development starts.

Initial technical discussion

Tell us which process the agent should improve

Share the users involved, the current tools, the data sources and the result you want to measure. We will help define whether the right first step is an assessment, a prototype or a scoped integration.