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Specialized Agents
The governed, observable bridge between AI and your enterprise systems — scoped, cost-optimized, and individually debuggable.
All features ・No credit card
Ready-made agents for every system
No custom integrations. No development work. Every specialized agent ships pre-built with scoped operations, full audit logging, cost guardrails, and governance rules — ready to connect to your systems out of the box. Authenticate once, and your AI can talk to any system with enterprise-grade controls from day one.
Why specialized agents, not raw connectors?
A raw API connector gives AI access to everything — every endpoint, every destructive operation, with no visibility into what it's doing or why. Specialized agents are purpose-built for enterprise: governed, observable, cost-controlled, and individually supportable.
Full observability per agent
A dashboard per agent — not a wall of raw traces. Every action is logged with four fields: intent (what was asked), plan (how it decided to respond), execution (what it did), and outcome (what changed). You see the full story, not just the API calls.
Per-agent Dashboard
Intent Tracking
Execution Logs
Individually debuggable
"The Salesforce agent scored leads wrong" is a sentence your team can act on. You isolate the agent, inspect its reasoning trace, reproduce the issue, and fix it. That specificity is only possible because each agent is a bounded unit.
Reasoning Trace
Reproducible
Scoped Isolation
Governed by design
Permission boundaries enforced structurally at the agent level. A Jira agent cannot access salary data in your HR system — not because a prompt says so, but because that capability doesn't exist in its operation surface. Structural, not trust-based.
OAuth Auto-refresh
AWS IAM Roles
Secrets Manager
Delegated Identity
Scoped blast radius
Each agent exposes only the operations it actually needs. A GitHub agent for PR triage cannot modify org settings, create repos, or touch secrets — not by policy, but because those capabilities structurally do not exist in its tool surface.
Structural Boundaries
Zero Trust
Operation Scoping
Cost-optimized execution
Pre-structured tool chains mean the agent doesn't explore its options at runtime. Enforced step limits prevent runaway reasoning loops. Prompt caching cuts repeated inference costs. Each agent is purpose-tuned — no over-spending on general reasoning.
Agentic RAG
Step Limits
Prompt Caching
Enterprise-grade support
Specialized agents are supportable by enterprise IT. Named agents, scoped permissions, individual audit trails, and reproducible behavior mean your IT and security teams can own, review, and escalate agent incidents — the same way they handle any enterprise system.
Audit Trails
Named Agents
IT-manageable
From connector to agent in minutes
01
Enable Connector
Authenticate with your system. OAuth, API key, or service account — one-time setup.
02
Agent Auto-Configures
Discovers schemas, objects, and capabilities. Constrains the operation surface to only what's needed.
03
Ask from Assistant
Users ask questions through the Personal AI Assistant. The right specialized agent is routed automatically.
04
Gets Smarter
Learns your company's patterns, terminology, and workflows. Improves with every interaction.
How we compare
LangChain and CrewAI are frameworks — you build agents from scratch in Python. xpander ships 50+ production-ready specialized agents, fully governed and observable, out of the box.
xpander
LangChain
CrewAI
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