No Code AI Automation

No-code AI automation covers the tools and platforms that let people build automated workflows, AI-powered processes, and increasingly autonomous software agents without writing traditional code. Users assemble logic through visual builders, natural-language prompts, and prebuilt connectors instead of scripting integrations by hand. Large language models then handle tasks such as routing requests, summarizing records, and drafting responses.

Why it matters now

The category is moving beyond simple trigger-and-action rules toward agentic systems. These agents can plan multistep work and act across business applications with limited human input. Enterprise software vendors, including ServiceNow, are making AI agents a core part of their platforms. They are also linking agents to process analysis, so organizations can find inefficiencies and automate them in an ongoing cycle.

That ambition raises practical questions:

• How are agents governed, audited, and granted permissions?
• How are they packaged and priced?
• Who is accountable when an automated decision goes wrong?

Meanwhile, more capable on-device hardware is making it feasible to run some agent workloads locally rather than relying only on the cloud.

What you'll find here

This hub tracks developments across the no-code and low-code automation landscape, including:

• Platform launches and updates from enterprise workflow and IT service management vendors
• Agentic AI capabilities, from autonomous task execution to AI-assisted development
• Governance and risk, including oversight, compliance, and barriers to adoption
• Pricing and licensing changes as vendors bundle AI features into product tiers
• Hardware and edge computing that brings agent workloads onto local devices
• Analysis of how these tools change the work of IT teams, developers, and business users