Block-based workflow editor
Prompting, testing, versioning, multi-prompt, cost control
Resume line
Retrieval Augmented Generation (RAG)
Roles and permissions
Security, data transparency
Web
Data Transformer
Decision Maker
Extract Maker (with HTML)
Key / Knowledge Manager
Web Creator
SaaS Email, Integration
Cloud privacy managed
On premise
← CASI D'USO
USE CASE · INTEGRATION-LED AI
Intelligence in the systems you already have.
ERP, CRM, legacy databases, internal APIs, corporate SaaS. ARI adds intelligence to existing processes without requiring to replace infrastructure — just to power it up.
THE PROBLEM
You have the systems. You lack the intelligent connection.
Mature companies already have an ecosystem: ERP, CRM, databases, APIs. These systems communicate — but in a rigid, rule-based way, without interpretative capabilities.
When non-standard data or unusual requests arrive, the system breaks. Someone must intervene manually to decode, translate and route. ARI adds the intelligence layer that manages these exceptions automatically.
With ARI: every existing system becomes part of an intelligent workflow. AI interprets, translates and routes — systems receive data in their expected format.
01
Malformatted data = break
A different date format or an unexpected client prefix stops the flow. Someone must intervene manually to fix it.
→ → ARI interprets and normalizes
02
Fragile point-to-point integrations
Hardcoded connections break with updates. Adding a new system takes months. ARI is the agnostic intelligence layer.
→ → ARI is the agnostic intelligence layer
03
Untraceable data silos
Client info is scattered in CRM, ERP and emails. No system sees the whole picture. ARIdb correlates it all.
→ → ARIdb correlates heterogeneous sources
HOW IT WORKS
From trigger to target system,
in 5 automatic steps.
System Trigger
Webhook, API call, scheduling, CRM event or file discovery triggers the intelligent workflow.
Data Retrieval (ARIdb)
ARIdb queries multiple heterogeneous databases to build the complete context for the case.
AI Processing
Raw data is classified, enriched, translated and normalized by the LLM model according to business rules.
System Action
CRM update, task creation, notification or internal API trigger. The system receives data ready for use.
Monitoring
The ARI dashboard tracks every execution. Anomalies and errors are reported in real-time for proactive management.
BUILDING BLOCKS USED
The components of this workflow.
01
ARIdb
Query and correlation of heterogeneous databases in natural language, overcoming silos.
02
API REST / Webhook
Seamless integration with existing systems for both input and output operations.
03
Data Transformer
Translation between heterogeneous data models and normalization of inconsistent values.
04
RAG / Knowledge Manager
Retrieval of specific business rules to ensure AI processing follows company standards.
05
Nuvolaris
Custom serverless logic for complex integrations and non-standard data manipulations.
06
File & Storage
SharePoint, Google Drive, S3, FTP, shared folders, email inbox
EXPECTED RESULTS
What changes in production.
Elimination of breaking points
Data exceptions (malformatted fields, missing values) are handled by AI instead of stopping the flow.
Enriched and ready data
Target systems receive data exactly in the expected format, fully contextualized.
Fewer errors, fewer tickets
Drastic reduction in integration errors that generate internal support overhead.
Immediate Scalability
Same workflow handles any volume of events without infrastructure multiplication.
APPLICATION SECTORS
Who uses Integration-led AI on ARI.
SETTORE 01
Manufacturing
Integration between MES, ERP and suppliers for orders and documents with intelligent exception management.
SETTORE 02
E-commerce
Synchronization between marketplaces, warehouse and CRM for multi-platform order and logistics management.
SETTORE 03
Fintech
Orchestration between core banking, CRM and compliance systems with automated data coordination.
SETTORE 04
Software House
Intelligent glue between complex product modules or heterogeneous client systems with integrated AI logic.
Have systems that struggle to talk to each other?
Show us your concrete case. In 30 minutes we will understand together if and how ARI can become the intelligent layer between your systems.
No commitment. No salespeople. Just technical people.
Want the ready-to-use solution?
Use ARI Flussi + ARIdb for your systems →CATEGORIES
USE CASE SCENARIOS
01
Document Automation
Document Automation
Invoices, contracts, technical sheets, PDF forms, emails with attachments. ARI extracts, normalizes and stores information in a structured way — automatically, with source citation, to the systems you already use.
02
Enterprise Search
Enterprise Search
Technical manuals, internal policies, regulatory bases, product documentation. ARI allows querying any document base in natural language — with cited, verifiable and updatable answers.
03
Web Monitoring
Web Monitoring
Competitive prices, market data, public content, actions on web applications. ARI navigates, extracts and acts on the web autonomously — even where standard solutions get stuck.
04
Agentic Workflows
Agentic Workflows
Approvals, classifications, evaluations, improvement cycles. ARI orchestrates processes where AI decides when it can, and asks the human when it must.
05
Monitoring & Alerting
Monitoring & Alerting
ARI continuously monitors systems, portals, emails and operational flows. When it detects an anomaly or delay, it identifies the right recipients and sends the alert automatically — even at night, even on weekends.
06
Integration-led AI
Integration-led AI
ERP, CRM, legacy databases, internal APIs, corporate SaaS. ARI adds intelligence to existing processes without requiring to replace infrastructure — just to power it up.
ARI FLOWS
BUILD YOUR NEXT AI WORKFLOW
Access the ARI platform and turn your ideas into production solutions. Powerful, flexible, under your control.
Production Ready Interface
European low-code GenAI orchestration platform. Built for control, transparency and trust.
Black Bytes SA — Via Pretorio 13A, 6900 Lugano, Switzerland
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