Organizations are under increasing pressure to improve decision quality while safely incorporating AI into their operations. This report examines the capabilities organizations should evaluate when selecting platforms that support decision analysis, low-code engineering, decision science, and decision governance.
Stats:
- By 2027, 25% of ungoverned decisions using large language models (LLMs) will cause financial or reputational loss due to human biases, insufficient critical thinking, and AI sycophancy.
- By 2027, 50% of business decisions will have been augmented or automated by AI agents for decision intelligence.
- By 2030, explicitly modeled business decisions will be five times more trusted and 80% faster than ungoverned decisions, enabled by decision intelligence platform adoption.
In our understanding, what’s inside:
- Understand the capabilities Gartner uses to evaluate decision intelligence platforms.
- Explore how vendors approach decision modeling, automation, and governance.
- Learn what capabilities are required to execute and monitor decisions at scale.
- Discover which vendors ranked highest across key decision intelligence Use Cases.
- See how decision intelligence platforms help organizations improve decision quality.
