Giving AI raw access to enterprise APIs is risky. A single misconfigured prompt could let a model delete records, modify permissions, or query data it shouldn’t see. Specialized agents solve this by wrapping each enterprise system in a governed, scoped agent. Each one is pre-built for a specific system (Salesforce, Jira, Snowflake, GitHub, and many more), restricted to only the operations you approve, and fully observable. You authenticate once, the agent auto-configures, and it’s ready to use. When to use: You want governed AI access to enterprise systems without building anything custom. If the predefined agents don’t cover your use case, use Agent Studio.Documentation Index
Fetch the complete documentation index at: https://docs.xpander.ai/llms.txt
Use this file to discover all available pages before exploring further.
Why not just use a raw connector?
A raw connector gives AI full API access, every endpoint, including destructive operations. A specialized agent wraps that access in governance.| Raw connector | Specialized agent | |
|---|---|---|
| Access | Full API surface | Scoped to approved operations only |
| Constraints | Prompt-based (model can ignore) | Structural (operations not in tool surface) |
| Observability | Raw API logs | Intent → plan → execution → outcome per action |
| Debugging | Trace global reasoning | Isolate one bounded agent |
| Cost | Model explores all options at runtime | Pre-structured tool chains, step limits, prompt caching |
How it works
Setting up a specialized agent takes minutes, not days:- Authenticate with OAuth, API key, or service account (one-time)
- Auto-configure as the agent discovers schemas, objects, and capabilities, then constrains its operation surface to approved operations only
- Route automatically as users ask their Personal AI Agent, and the right specialist handles it
- Improve over time as the agent learns your company’s patterns and terminology
Observability
When something goes wrong with an AI agent, raw API logs tell you what calls were made but not why. Specialized agents log every action with four fields that capture the full reasoning chain:| Field | What it captures |
|---|---|
| Intent | What was asked |
| Plan | How the agent decided to respond |
| Execution | What it did |
| Outcome | What changed |
Available agents
xpander includes specialized agents for Salesforce, Jira, GitHub, Snowflake, BigQuery, Redshift, Datadog, Google Workspace, HubSpot, Slack, and many more. Each one is pre-configured for its system and ready to connect in minutes. The full catalog covers data and analytics, development, project management, productivity, monitoring, CRM, and communication. When you need something beyond the pre-built set, like combining multiple systems, custom escalation policies, or internal APIs, you can build custom agents in Agent Studio.What’s next
Agent Studio
Build custom agents when the predefined set isn’t enough.
Tools & Connectors
Configure authentication and connector settings.