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From Automation to Autonomy

AI PULSE SURVEY | VOL 3

Nearly one in four organisations have already integrated Agentic AI into their operations. This rapid adoption rate highlights the urgency and enthusiasm with which businesses are embracing AI technologies to enhance decision-making and collaboration. Dive into the latest results of our AI Pulse survey and see how Agentic AI is reshaping the business landscape.

What your peers are saying about agentic AI

Key Findings

23 %

of organisations have integrated agentic AI and multi-agent AI into their operations

27 %

of organisations plan to integrate agentic AI into their operations within six months

38 %

of respondents prefer semi-autonomous agents that act within defined limits

46 %

of organisations are leveraging existing platforms with pre-built agentic AI capabilities as part of their agentic AI integration strategies

77 %

of AI-mature organisations are using or expect AI agents to manage repetitive tasks

Stages of AI Adoption and Maturity

At which of the following stages would you place your organisation regarding AI adoption?

Agents of change

Future Expectations for Autonomy

What level of complexity and autonomy does your organisation envision for its AI agents in the future?

Future Vision: AI Agents and Their Autonomy

*Roughly 6% of respondents are undecided on the level of complexity they envision for their AI agents.

Key takeaways

Despite the ambition for full autonomy, most organisations favor semi-autonomous agents.
AI maturity influences autonomy goals with organisations further along in adoption are more open to implement fully autonomous agents.

Leading the Semi-Autonomous Way

Key takeaways

Aerospace & defense, manufacturing, and financial services show strong support for semi - autonomous agents.
Context-aware agents are favored in sectors where human oversight, regulatory compliance, and personalisation are most critical.
31% of executives foresee fully autonomous agents while mid-level leaders remain more cautious, with only 16% expecting full autonomy possibly due to their closer proximity to operational risks and implementation challenges.

AI agents are rewiring how work gets done

AI Agents are Reshaping Decision Making

To what extent have or do you expect agentic AI systems to affect the decision-making capabilities of your organisation?

Agentic AI and the Future of Decision-Making

Key takeaways

Real-time insights get a boost as across industries, agentic AI is widely expected to enhance data processing and accelerate decision-making.
Healthcare and tech lead in leveraging AI for insights, while government and manufacturing remain cautious, likely due to regulatory and operational constraints.
77% of the most AI mature organisations expect AI agents to take over repetitive decision tasks, streamlining operations.

The Sprint to Onboard AI Agents

What is your organisation's expected time frame for integrating agentic AI and/or multi-agent AI systems into your core operations?

Key takeaways

The next 6 months are pivotal, as organisations with mature AI capabilities are rapidly integrating agentic systems to drive performance and strategic impact.
Adoption follows experience, with advanced organisations already deploying agentic AI, while earlier stages build momentum through deliberate scaling.

AI Agents are Powering Core Functions

In what functions or areas of your business are you currently using, piloting or expecting to use agentic AI and/or multi-agent AI systems?

Key takeaways

Strategic expansion is underway, as mature organisations deploy agentic AI across marketing, HR, finance, legal, and compliance functions.
Early results exceed expectations, with leaders reporting improved performance and continuous enhancements driven by data feedback.
Adoption patterns vary by industry, with tech, healthcare, and financial services leading in IT and risk management, while retail and manufacturing focus on operations and supply chain.