AI Streamlining Processes: Agents with Decision-Making Capabilities Now Tackle Scale-Based Execution Challenges
In today's fast-paced business environment, the next wave of automation is upon us, and it's all about execution. The focus is shifting from rule-based automation to adaptive, harmonious coordination and AI-native orchestration, as we move towards an operating system for work that is proactive, adaptive, and AI-native.
Each knowledge worker will soon have a personal productivity model - software that learns their habits, rhythms, and preferences, providing a tailored approach to boost efficiency. This personalization is becoming standard, with future systems learning and adjusting instead of enforcing rigid templates.
The current system of work, however, is no longer sustainable. Teams still rely on manual handoffs, with no central source of truth for work processes. Work gets scattered across multiple platforms, making it difficult to find and manage. Approximately 40% of a knowledge worker's time is lost to repeatable, low-leverage tasks such as searching for files, copy-pasting, entering data, and chasing status updates.
The advent of multimodal AI models allows software to "watch" you work and start to understand what's happening without needing perfect inputs. Execution, in the future, stops being a brittle checklist and becomes an evolving partnership between human judgment and AI initiative.
Companies supported by venture capital firms are already leveraging agentic AI technology to automate coordination and orchestration of workflows, thereby relieving staff and improving speed and efficiency of processes. These companies, primarily located in Europe and Israel/USA, are pioneering this new era of work. Onsai, for example, focuses on hotels across Europe, while Terra Security expands its R&D in Israel and sales in the USA.
However, processes can break if someone critical leaves, and it is easier to redo a task than to figure out how it was done the last time. Teams invent new processes every quarter to patch the last system's blind spots, but no one has time to document these processes, and when they do, no one reads it.
Agentic systems are built to understand and support the messy, unstructured layer of work, where conversations, screen recordings, voice notes, and quick messages happen. Employees often bounce between 12 or more platforms a day, each with its own logic, login details, and learning curve.
The next decade of work is moving towards an operating system for work that is proactive, adaptive, and AI-native. This shift towards agentic AI offers a way out of the complexity of scaling a company by delivering on the real promise of automation, which is freeing people to focus on judgment, creativity, and the decisions that only humans can make.
By embracing this new era of work, businesses can not only improve productivity but also create a more streamlined, efficient, and future-proof work environment. The future of work is here, and it's all about harnessing the power of agentic AI.
