AI Agent Development.
From agent architecture to production deployment — custom AI agents built for your systems, data and governance requirements.
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Production Agents, Not Prototypes
Building an AI agent that works in a demo is straightforward. Building one that operates reliably in production — with correct permissions, audit trails, fallback behavior and integration into live business systems — requires disciplined engineering and domain expertise.
Metalogix.ai delivers end-to-end agent development: requirements discovery, architecture design, tool and API integration, prompt and workflow engineering, testing, deployment and ongoing optimization.
Our agents are designed to complement your automation stack — triggering n8n workflows, reading and writing CRM records, accessing knowledge bases and escalating to humans when confidence thresholds are not met.
Key Use Cases
Custom agent development across enterprise functions.
Domain-Specific Sales Agents
Agents trained on your product catalog, pricing rules and sales playbooks.
Customer Support Agents
Multi-turn resolution with ticket creation, order lookup and escalation logic.
Internal Knowledge Agents
Search and synthesize policies, SOPs and project documentation on demand.
Data Analysis Agents
Query databases, generate reports and highlight anomalies for review.
Process Orchestration Agents
Coordinate multi-step workflows across teams and systems.
Compliance & Review Agents
Screen content, flag risks and prepare documentation for approval.
Business Outcomes
- Production-ready agents with defined SLAs and monitoring
- Integrated execution within CRM, ERP and communication platforms
- Governance framework with permissions, logging and human oversight
- Iterative improvement based on real usage data
- Reduced dependency on manual task execution for routine work
Why Metalogix.ai
- Full-stack agent development from architecture through production support.
- Responsible AI practices embedded in every development lifecycle.
- Tight integration with n8n automation and dashboard intelligence layers.
- Enterprise security and data handling standards on all deployments.