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AI Agent

An AI agent is software that can interpret a goal, choose actions, call tools, observe results, and continue until it reaches a stopping condition. Unlike a plain chat interface that only returns text, an agent can read tickets, query APIs, inspect logs, open bug reports, and draft replies based on live system evidence. In production settings, the important question is not whether it sounds intelligent, but whether it can operate reliably against real permissions, failure states, and workflow rules.

Why it matters for B2B support

Support and ops teams usually deploy AI agents for bounded workflows such as ticket enrichment, billing checks, incident triage, or release verification. The value comes from reducing manual hops across systems, but the failure modes are real: bad tool selection, stale context, missing retries, and actions taken without enough evidence.

How Altor helps

Altor behaves like an investigation agent across 6 production systems, which is why it can compress a 45 min → 2 min diagnostic workflow into one bounded support action.

FAQ

How is an AI agent different from a chatbot?

A chatbot mainly generates text. An agent can take actions, use tools, and update its plan based on what those tools return.

What makes an AI agent production-ready?

Permission control, observability, retry handling, and clear stop conditions. Without those, the system is a demo, not an operational tool.

Related terms

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