The Capabilities and Complexities of AI Agents
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.
企業が語るAIエージェント
主な調査結果
of organisations have integrated agentic AI and multi-agent AI into their operations
of organisations plan to integrate agentic AI into their operations within six months
of respondents prefer semi-autonomous agents that act within defined limits
of organisations are leveraging existing platforms with pre-built agentic AI capabilities as part of their agentic AI integration strategies
of AI-mature organisations are using or expect AI agents to manage repetitive tasks
Stages of AI Adoption and Maturity
変革を加速させるAIエージェント
Future Expectations for Autonomy
*回答者の約6％は、自社が想定するAIエージェントの複雑性レベルについて未定と回答しています。
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エージェントが業務の進め方を再構築している
AI Agents are Reshaping 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
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
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.
Building Smarter: AI Integration Planning
Key takeaways
- Speed is strategy, as companies race to integrate agentic AI to stay competitive and avoid falling behind.
- Partnerships fill skill gaps, with many organisations leaning on vendors and platforms like AWS, Microsoft, and Salesforce to accelerate development.
- Maturity shapes the roadmap, with advanced organisations driving internal innovation, while earlier stages rely on external support and pilot programs.
プロティビティの専門家のご紹介
Tom Andreesen, Managing Director and AI Leader
Tom is a managing director with over 33 years’ experience helping organisations develop and implement a variety of business and technology solutions to enhance their operations. Tom has also helped companies establish risk management capabilities and overall governance programs to help address operational risks, technology risks, and regulatory compliance requirements. Tom is the leader of Protiviti’s Global Microsoft Alliance program.
“Invest in infrastructure, talent and training, and leverage available frameworks that can be customised to meet the agentic needs of your organisation.”
Patrick Anderson, Managing Director
Patrick Anderson has over 25 years of experience in IT and Technology, specialising in AI, cloud computing, cloud economics, data strategy and analytics, program and project management, agile transformation, and organisational change management. He holds numerous certifications, including Lean Six Sigma Black Belt, Agile Scrum Master, Data Protection Officer, and Generative AI Solutions with Azure OpenAI Service. Patrick has been working with linguistic processing since 1998 and Machine Learning since 2017.
“A balanced approach is essential so that organisations can transition to agentic AI systems successfully. Systems risk failing in unforeseen ways without such a balance. Leaders should chart a deliberate course and proactively seek support to identify and overcome gaps.”
