Agentic AI

A BCG study reveals a widening AI adoption gap: only 5% of companies significantly benefit financially, while 60% see marginal gains. These leaders, termed “future-built,” experience higher revenue growth and EBIT margins. They reinvest AI gains, prioritizing core business function reinvention and agentic AI adoption. Success hinges on executive-led strategy, business-IT collaboration, and workforce upskilling. Laggards face a “vicious cycle” due to leadership gaps and lack of focus, emphasizing the need for organizational change to avoid falling behind.

Agentic AI, intelligent systems acting as autonomous agents, is rapidly integrating into business, yet raises significant risks. Organizations deploying it must address potential deviations from business rules, regulatory mandates, and ethical standards. Low-code platforms offer a solution by embedding governance and compliance into the development process, unifying app and agent development within a single environment and enabling seamless integration with existing systems. This approach fosters transparency, control, and scalability, ensuring AI-driven processes align with strategic goals while mitigating risks.

Agentic AI promises to unlock generative AI’s potential, addressing the current disconnect between adoption and bottom-line impact. AI agent orchestration is emerging as crucial, with platforms like BMC’s Control-M evolving to manage autonomous agent deployments across diverse systems. BMC envisions Control-M as an “orchestrator of orchestrators,” connecting various tools and facilitating AI agent coordination. As companies like Salesforce develop “digital labor platforms,” demand for robust orchestration layers is growing. Effective orchestration is vital for operationalizing AI, mitigating risks, and ensuring compliance, thereby maximizing business outcomes and ROI.

TechEx Europe 2025 in Amsterdam will host over 8,000 attendees and 250+ speakers across AI, cybersecurity, IoT, digital transformation, and data center expos. Focused on AI operations, particularly agentic AI, the conference addresses governance, trust, and infrastructure needs for scaling AI. Sessions feature leaders from Deutsche Bank, Mastercard, Reddit, NVIDIA, and NATO, discussing responsible scaling, monitoring frameworks, and infrastructure readiness. Attendees will gain practical insights and network with industry peers to navigate the evolving AI landscape.

Agentic AI, software that autonomously decides, acts, and refines strategy, is poised to disrupt industries. Capgemini projects $450 billion in potential economic value by 2028, yet only 2% of organizations have scaled its use. A survey of 1,500 executives highlights the importance of human oversight, with most believing in the value of human involvement in AI workflows. IT operations are emerging as a practical entry point, with measurable benefits in data classification, storage optimization, and cybersecurity. Success hinges on data quality, new skills, and striking a balance between autonomy and accountability.

At WAIC 2025, PPIO unveiled its Agentic AI Infra platform, the first of its kind in China, designed to accelerate AI Agent development. The platform features both General and Enterprise editions, including China’s first Agent Sandbox for secure execution and model services optimized for Agent construction. PPIO’s system offers advantages like long-term memory, controllable processes, and multi-modal collaboration. By providing comprehensive support and reducing costs, PPIO aims to drive the large-scale deployment of intelligent agents across various industries.

At Computex 2025, NVIDIA CEO Jensen Huang repositioned the company as an AI infrastructure architect, unveiling advancements in consumer GPUs, data center solutions, industrial metaverse tools, and robotics. Key highlights included the Blackwell architecture for AI training/inference and Isaac GR00T N1.5, a foundation model for humanoid robots. Huang emphasized physical AI as the next industrial revolution, citing partnerships with firms like Boston Dynamics and Morgan Stanley’s projection of a $60T humanoid market by 2050. NVIDIA aims to dominate through its full-stack ecosystem, bridging AI models, autonomous systems, and simulation tools to power smart factories and cities. (100 words)

OpenAI launched Deep Research, an agentic AI feature enhancing ChatGPT’s multi-stage analytical workflows by autonomously synthesizing vetted online sources. Operational in complex domains like financial modeling and supply chain risk, it achieved 26.6% problem-solving accuracy across 3,000 cross-disciplinary questions (vs. 9.4% for competitors) and 72.57% on the GAIA benchmark. While outperforming prior models in rigor and documentation, limitations persist in resolving conflicting data and probabilistic reasoning. Initially available to Pro-tier users, deployment excludes EU jurisdictions, raising compliance concerns for sectors requiring calibrated confidence thresholds.

The ISG Provider Lens™ report (September 2025) analyzes how AI, including GenAI and agentic technologies, transforms finance and accounting outsourcing (FAO) by shifting vendors from back-office roles to strategic partners. Across 48 providers in four domains—invoice-to-pay, order-to-cash, R2R/tax, and FP&A—AI automates workflows, reduces manual tasks by 60%, enables real-time insights, and supports predictive financial planning. The study evaluates innovation, global adoption, and vendor capabilities, emphasizing AI co-pilots, blockchain integrations, and tools turning spreadsheets into dashboards, to help enterprises benchmark partners reshaping CFO priorities and operational agility.