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AMAGE AI – AI systems for organizations working with data and processes

AMAGE AI is a platform for building and running AI assistants and AI agents that operate on a trusted context: AMAGE process data (assets, tickets, work orders, schedules) and documentation (manuals, protocols, standards, reports, service history). The goal is faster decision-making, automation of repetitive work, and secure use of organizational knowledge—in a way that is controllable and auditable.

This flexible solution is not limited to AMAGE data alone. It can also work with other documentation sources and enterprise systems (ERP, BMS/SCADA, document repositories, email, event logs, sensor data). The platform is available in SaaS, PaaS, and On‑Premises deployment models, making it possible to align with security requirements and organizational policies.

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Key benefits

01
Contextual answers
based on AMAGE data and the knowledge base (RAG) — less searching, more action.
02
Shorter case handling time
(diagnostics, work order preparation, reporting, document workflows).
03
Controllable agents
clear scope, action rules, optional approval of steps.
04
Security and privacy
roles/permissions, data isolation (multi‑tenant), safeguards (guardrails), logging and auditing.
05
Flexible deployment
SaaS / PaaS / On‑Premises, aligned with organizational policies.
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What the platform delivers/product capabilities

Knowledge bases and document workflows (RAG)

  • indexing and search across documentation and organizational sources,
  • summarization, information extraction, classification, and tagging,
  • contextual Q&A with source references (where required).

AI agents and task automation

  • preparing suggested actions (e.g., checklists, work order descriptions, summaries),
  • executing agreed steps in processes (with control and audit),
  • integrations for fetching data and performing operations in external systems.

Conversational assistants for business roles

  • conversation profiles tailored to roles (operations, engineering, compliance, production data),
  • consistent rules for answers, formats, and constraints,
  • responses aligned with user permissions.

Prompt & agent designer + governance

  • structured definition of role, capabilities, context sources, and security rules,
  • testing and publishing configurations as profiles and agents,
  • - centralized management across multiple organizations/projects (multi‑tenant).
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Integrations

AMAGE AI integrates with the AMAGE Software Suite and—depending on needs—with other sources:

  • ERP, BMS/SCADA, document repositories, event logs, sensor data,
  • integrations implemented through connectors and integration mechanisms (incl. MCP),
  • the ability to build a central AI platform for multiple AMAGE instances with data isolation,
  • implementations tailored to customer-specific requirements.
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Deployment models (SaaS / PaaS / On‑Premises)

Model

For whom

Characteristics

SaaS (public cloud)

quick start / pilots

fastest rollout, easy scaling, no upfront infrastructure investment

PaaS (private/dedicated cloud)

more control and isolation

dedicated resources, integrations, and security policies tailored to the customer environment

On‑Premises

highest security requirements / “no cloud”

full control and isolation; the ability to run models and inference on customer infrastructure

Example use cases

01

Maintenance & reliability

support for diagnostics, procedures, and service history; prediction/anomaly detection (depending on available data); better work planning.
02

Construction and capital projects

analysis of documentation and reports, change detection, support for coordination and procurement/logistics.
03

Document automation

document recognition (AI + OCR), data extraction (e.g., invoices/delivery notes/specifications), completeness checks, routing into workflows and AMAGE modules.
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Security and control (product standard)

01
Access control aligned with roles and permissions,
02
Isolation of data and configuration in multi-organization environments (multi‑tenant)
03
Auditable agent actions with optional step approval,
04
Deployment tailored to requirements: from cloud to fully On‑Premises.
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Contact

Want to see how AMAGE AI performs on your data (AMAGE + documentation) and in your infrastructure model? Contact us—we will prepare an architecture proposal, integrations, and an implementation plan.

Contact