Tool-Using Agents
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- Agent-Oriented Architecture
- Agentic AI Alignment
- Agentic AI for Customer Engagement
- Agentic AI for Decision Support
- Agentic AI for Knowledge Management
- Agentic AI for Predictive Operations
- Agentic AI for Process Optimization
- Agentic AI for Workflow Automation
- Agentic AI Safety
- Agentic AI Strategy
- Agile Development
- Agile Development Methodology
- AI Agents for IT Service Management
- AI for Compliance Monitoring
- AI for Demand Forecasting
- AI for Edge Computing (Edge AI)
- AI for Energy Consumption Optimization
- AI for Predictive Analytics
- AI for Predictive Maintenance
- AI for Real Time Risk Monitoring
- AI for Telecom Network Optimization
- AI Orchestration
- Algorithm
- API Integration
- API Management
- Application Modernization
- Applied & GenAI
- Artificial Intelligence
- Augmented Reality
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C
D
E
G
I
L
M
N
P
R
S
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V
Tool-Using Agents are intelligent AI systems that, in addition to reasoning and planning, have the capability to call external tools, APIs, or services to perform tasks. Rather than being limited to what’s inside their model, these agents can orchestrate workflows, fetch data, execute commands, or interact with systems to achieve goals.
Xebia helps organizations design, deploy, and govern Tool-Using Agents that safely combine natural language understanding, memory, and tool execution. These agents bridge the gap between AI and enterprise systems, enabling automated, context-aware interactions with real business systems.
What Are the Key Benefits of Tool-Using Agents?
- Ability to perform real operations beyond language tasks
- Increased utility by integrating with enterprise tools and APIs
- Reduced gap between insight and action
- Enhanced accuracy by grounding decisions on real system state and external information
- Flexibility to adapt behavior by choosing which tool to call
- Safer and more auditable systems via tool control boundaries
What Are Some Tool-Using Agents Use Cases at Xebia?
- Agents that integrate with CRM platforms to retrieve or update customer data
- AI assistants that call ticketing systems, databases, or scheduling APIs
- Research agents that fetch documents, run searches, and compile summaries
- Workflow orchestration systems that call multiple services based on user prompts
- Compliance agents that cross-check data against external regulatory APIs
- Financial agents that access market data, perform trades, or execute alerts
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