What is an AI Agent?

AI agents perceive inputs, decide, and execute actions autonomously

An AI agent is software that perceives inputs, makes decisions, and executes actions to achieve a goal without step-by-step human instruction. In B2B commerce, AI agents read orders, validate against ERP data, resolve exceptions, and write transactions into SAP or D365. AI agents replace rule-based RPA bots with decision-capable execution.

AI Agents in depth

By Go Autonomous · Last updated:

Key terms

Reasoning
Sub-term in the Reasoning category — define in body or link to related cornerstone.
Tool use
Sub-term in the Tool use category — define in body or link to related cornerstone.
Memory
Sub-term in the Memory category — define in body or link to related cornerstone.
Orchestration
Sub-term in the Orchestration category — define in body or link to related cornerstone.
Guardrails
Sub-term in the Guardrails category — define in body or link to related cornerstone.

Proof points

  • Orders processed in under 60 seconds end-to-end (Go Autonomous benchmark).
  • 18 percent quote-to-order win rate uplift after deployment.
  • 43 percent capacity released across order processing teams.
  • 60 percent throughput per employee gain on autonomous channels.
  • 99 percent first-time-right rate on autonomous orders.
  • Danfoss processes orders in under 1 minute across 26 countries.
  • 30B+ B2B transactions executed across the Go Autonomous customer base.
Industry citations: Gartner: AI Agents Market Guide. Anthropic & OpenAI agent frameworks. McKinsey: ‘Why agents are the next frontier of generative AI’.

Frequently asked questions

How does an AI agent decide what to do?

An AI agent reasons over inputs (email, document, ERP record), selects from available tools (lookup, validate, write), executes steps, and verifies the result. Modern agents combine LLM reasoning with deterministic guardrails to keep decisions auditable.

What is the difference between an AI agent and an RPA bot?

RPA bots follow scripts and break when interfaces change. AI agents understand intent from unstructured inputs, reason about exceptions, and adapt without rewriting code. RPA scales linearly. AI agents scale with data and feedback.

Are AI agents safe for enterprise data?

Enterprise AI agents run with role-based access, audit logs, and ERP-native write paths. Go Autonomous executes inside customer security perimeters with SOC 2 controls and human-in-the-loop on policy-defined exceptions.

AI Agents in action.

Book a 30-minute demo and see how Autonomous Commerce executes B2B transactions in your stack.

See it in Action

AI Agents in action.

Book a 30-minute demo and see how Autonomous Commerce executes B2B transactions in your stack.

See it in Action
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