Generative AI, Conversational AI & Intelligent Automation: By the Numbers
  • 79%of organizations report using generative AI in at least one business function, up from just 33% in 2023, according to McKinsey's State of AI 2025 survey.
  • 40%of enterprise applications will feature task-specific AI agents by the end of 2026, up from less than 5% in 2025, per Gartner's August 2025 press release.
  • $1.3TWorldwide AI spending, including agentic and intelligent automation systems, will grow at a 31.9% CAGR from 2025 to 2029, reaching $1.3 trillion and more than 26% of total IT spending, according to IDC's 2025 forecast.

What Is Intelligent Automation?

What Is Intelligent Automation?

What is intelligent automation?

Intelligent automation combines artificial intelligence with traditional process automation so software can handle work that needs judgment, not just fixed rules. Where basic automation follows a script, intelligent automation can read, interpret, and decide.

Picture processing invoices that arrive in a dozen different formats. Rule based automation chokes on the variation. Intelligent automation reads each one, understands it, and routes it correctly, the way a person would, only faster and at scale.

It is the bridge between rigid automation and full AI agents, and for many businesses it is the most practical place to start.

Related terms: business process automation, agentic AI, AI agent.

How is intelligent automation different from RPA?

RPA follows fixed rules. Intelligent automation adds AI so it can handle variation and ambiguity.

FREE PoC
RPA breaks. AI hallucinates. Intelligent automation does neither.
Deterministic flows + AI judgement, exceptions handled, humans in the loop only when needed.
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