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AI Integration Layer | Arge Bilişim argemas

AI Integration Layer

A connection layer that defines direction, frequency, authorization and failure behavior for every source

02 / Advanced Technology Solutions

Which systems should connect, and which data must remain outside the AI boundary?

Decision scope

An auditable access boundary, not a connector catalogue

The argemas AI Integration Layer connects selected software, hardware and data sources to the access boundary of a defined use case.

The system of record remains in place. Technical discovery defines each connection’s data objects, direction, frequency, authorization, failure behavior and acceptance test.

01 / Responsibility

Two layers, two responsibilities

LAYER 01

AI Integration Layer

Connects AI securely to permitted systems, devices, documents and data sources.

  • Connectivity
  • Data flow
  • Authorization
LAYER 02

AI Layer

Turns unified data into analysis, decision support, foresight and controlled automation.

  • Analysis
  • Decision support
  • Action

02 / Source register

Supported integration categories

The exact version, data objects, direction, frequency, failure behavior and acceptance scenario of each connection are validated during technical discovery.

SRC 01

Enterprise applications

  • ERP
  • MES
  • WMS
  • CRM
  • PDM / PLM
  • Human Resources
  • Accounting
  • Quality Management
  • Maintenance Management
  • APS
  • Custom software
SRC 02

Documents

  • Excel
  • PDF
  • Word
  • PowerPoint
  • CSV
  • XML
  • JSON
  • Technical documents
  • Procedures
  • Work instructions
SRC 03

Data sources

  • SQL Server
  • Oracle
  • PostgreSQL
  • MySQL
  • SQLite
  • NoSQL databases
SRC 04

Industrial systems

  • PLC
  • RFID
  • Barcode
  • IoT sensors
  • Production machines
  • SCADA
  • Camera systems
  • Energy monitoring systems
SRC 05

Integration technologies

  • REST API
  • SOAP
  • SQL
  • ODBC / JDBC
  • OPC UA
  • MQTT
  • FTP / SFTP
  • Webhook
  • CSV
  • XML
  • JSON
  • Custom integrations
SRC 06

Data security and access

  • Provider-independent: OpenAI, Anthropic, Google or a local model
  • Zero Data Retention: queries are not stored by the provider or used for training
  • Access rights per department and per person
  • Blocking before the query, at the database and on the way back
  • Read-only first; writes only to separate tables, with human approval
  • Intent and executed-code logging per user
  • Air-gapped deployment option

03 / Acceptance boundary

Technical acceptance principles

  1. The existing system of record remains authoritative
  2. The connection uses a documented interface
  3. Flow frequency is defined by the use case
  4. Vendor and version differences are verified in discovery
  5. Unauthorized data objects remain outside the boundary
  6. Success, failure and retry events are traceable

Next decision

Map the first integration scope

Identify the systems of record, required data objects, access rules and acceptance tests for the first use case.

Discuss the integration