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Solutions · Artificial intelligence

Artificial Intelligence and Intelligent Automation integrated into your environment

Agents, models and automation flows create business value when connected to corporate systems, operational data and governance rules. Target integrates AI components into the environment you already run, with AgentOps for agent operations and AIOps enriching context when it makes sense.

AI agent operations integrated with corporate systems and AgentOps governance

AI in the environment you already operate

Models and agents create value when they share context with ITSM, monitoring, APIs and approved processes. We integrate AI into the corporate ecosystem with governance and connection to the systems you already use.

AI agents orchestrated and connected to corporate systems, data and operational tools

The challenge of operating AI with context and control

Isolated pilots do not sustain critical operations. You need clear rules on what to query, what to change and how to record each action—with AgentOps and complementary AIOps when it makes sense.

AI agents Autonomy with clear boundaries
Operational context Reliable data and events
Governance Permissions and audit
Human approval Critical actions supervised
Action control End-to-end traceability

What we can integrate

AI agents and agentic flow orchestration
Language models and inference (cloud or on-premises per policy)
ITSM, CMDB, knowledge bases and collaboration
Monitoring and observability as context sources
APIs, queues and webhooks for corporate systems
Runbook automation and workflow platforms
Identity, access policies and audit trails
AgentOps: governance and operation of agents in production
AIOps: telemetry, events and correlation for operational context

Three ways to integrate AI and intelligent automation

Operations assistant with human approval

Illustrative example
Request
AI agent
Human approval
Controlled action
  • Challenge: Correlating tickets, inventory and history before acting consumes team time.
  • Integration: Agent queries ITSM and CMDB via API, suggests diagnosis and prepares runbook; production actions require explicit approval.

Faster responses with traceability and autonomy boundaries.

Intelligent post-alert triage

Illustrative example
Monitoring
AI classification
Context
ITSM / workflow
  • Challenge: High alert volume drives manual triage and inconsistent queues.
  • Integration: Alerts trigger flows with rules and models to prioritize; exceptions reach analysts with operational context.

Less triage effort and routing aligned with severity.

Network automation with a Target product in the ecosystem

Illustrative example
Network tools
Integration
ARGUS
Supervised automation
  • Challenge: Automate repetitive tasks without replacing installed network tools.
  • Integration: ARGUS integrates with platforms in use; data and commands via agreed APIs. Details on the Products page.

Specialized automation coexisting with the existing environment.

Benefits of an integrated architecture

Shared operational context

AI uses the same sources analysts and managers trust.

Agent governance

AgentOps structures permissions, reviews and controlled evolution.

Step-by-step evolution

Progressive connection to real systems, reducing automation silos.

Cost and scope alignment

Modular design aligned with internal policies and agreed commercial scope.

Why integrate with Target

IT and telecom operations

We work in real operations, not POCs disconnected from the customer environment.

Integrated ecosystem

We combine open source, partner solutions and proprietary products in one architecture.

Continuous AgentOps

AgentOps is production operation, not installation alone. Contracted delivery stays under Services.

Want to integrate AI into your processes and systems?

Share goals, systems in use and desired autonomy boundaries. Target supports integrated design and points to suitable services or products.

Present your scenario