Discover how agentic AI is transitioning the innovation race from human-augmented processes to autonomous execution.
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Autonomous R&D: Amplify Innovation Velocity With Agentic AI
By 2028, AI agents will move from experimental use to mainstream adoption, becoming the new normal in R&D workflows. Agentic systems are poised to transform R&D, offering immense potential to improve operational efficiency, strengthen decision support, autonomously innovate and support compliance and quality assurance.
Download the Autonomous R&D Report to explore recommended actions R&D leaders should take to embrace agentic AI and position their teams for better, faster and more innovations:
- Target high-value use cases and map capabilities
- Prioritize the AI agent sweet spot
- Decide build vs. buy
- Pilot, govern and scale responsibly
Agentic AI in R&D
Agentic AI is an approach to building AI solutions based on the use of one or multiple software entities that are classified, completely or at least partially, as AI agents. AI agents are autonomous or semiautonomous software entities that use AI techniques to perceive, make decisions, take actions and achieve goals in their digital or physical environments.
Agentic systems are poised to transform R&D, offering immense potential to improve operational efficiency, enhance collaboration, strengthen decision support, autonomously innovate and support compliance and quality assurance. Getting agentic AI applications right is imperative, as it means future-proofing R&D in increasingly complex environments. R&D leaders can use this Gartner research to explore the steps they should take to embrace this technology.
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