Orby AI: ‘AI agents don’t just do the work – they understand what you’re doing’

By Lucy Buchholz | July 25, 2025 By 2030, 60% of US workers could have 30% of their work automated, equating to roughly 72 billion hours of labor annually — the equivalent of 100,000 people’s lifetimes each year. This statistic inspired Will Lu to co-found Orby AI, a platform that empowers enterprise employees to scale their work by delegating repetitive tasks to AI agents. As an expert in automation and agentic AI, Will Lu shared with UNLEASH insights on the current AI landscape and the future impact of AI agents in the workplace.

The Reality of AI Systems

Generative AI is often perceived as possessing PhD-level intelligence, with Artificial General Intelligence (AGI) seemingly just around the corner. However, Lu emphasizes that while generative AI can solve impressive problems, its reliability is inconsistent.

“Most of the time, it [Gen AI] does solve the problem, but there are instances where it makes silly mistakes. Even the best models hover around 90% accuracy on relatively simple tasks like high school-level math problems.”

Lu warns that in enterprise environments, especially in critical areas like financial processes, even small AI errors can lead to costly consequences such as compliance fines or incorrect payments.

“Every single dollar mistake could lead to millions of dollars in losses, which is costly to resolve. That’s why we’re developing our own AI agent model at Orby, to make AI scalable and reliable for enterprises.”

AI agents also face challenges in HR scenarios involving complex human judgment, such as hiring decisions or performance evaluations. For example, agents might misinterpret simple policy requirements, like a candidate needing five years of experience, and incorrectly accept four years. Agents may also miss important contextual information, such as unfamiliar schools or majors from less-known countries, leading to unreliable decisions. Lu stresses the importance of clearly defined policies and an efficient human review process to ensure trust and reliability.

“It’s crucial to define policies in a clear, symbolic way so agents can follow them reliably. Human review is also essential to oversee results.”

Orby AI provides tools that analyze large volumes of decisions — for instance, reviewing 100 hiring decisions to identify outliers, risks, or opportunities for improvement.

How AI Agents Will Shape the Future

Lu is optimistic about the future impact of AI agents, highlighting their ability to provide employees with unparalleled agility and scalability. Using finance as an example, Lu explains how AI agents can help businesses manage unpredictable, high-volume workloads during busy seasons without overburdening employees.

“Companies can’t always hire enough people upfront, so employees work long hours during busy seasons and then take extended vacations. AI agents allow businesses to scale quickly and handle more tasks efficiently.”

This agility means that even routine, time-consuming tasks — like submitting receipts — can be automated reliably and quickly, enabling faster responses to customers, managers, and colleagues. Lu also points out a unique advantage of AI agents:

“AI agents don’t just do the work for you — they understand what you’re doing. They track completed tasks, summarize activities, compare performance with others, identify optimization opportunities, highlight risks, and alert employees if policies aren’t followed.”

This capability makes AI agents powerful tools for managing daily workflows and improving productivity.

When Will Your Business Be Ready?

The adoption of AI agents is poised to transform how enterprises operate, enhancing productivity while maintaining oversight and reliability.

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Originally published at UNLEASH on July 25, 2025.

FAQ

What are AI Agents?

AI agents are automated systems designed to perform repetitive tasks in businesses, enabling employees to focus on higher-value work.

What challenges do AI agents face in HR scenarios?

AI agents can misinterpret policy requirements and overlook important contextual information, leading to unreliable hiring or evaluation decisions.

How do AI agents help businesses manage workloads?

AI agents enhance business agility by efficiently handling high-volume workloads and automating routine tasks, preventing employee burnout.

How reliable is generative AI?

Generative AI can solve impressive problems but has inconsistent reliability, often achieving around 90% accuracy even on simple tasks.

Crypto Market's Take

AI agents are not just a futuristic notion; they're actively shaping various sectors, including finance and cryptocurrency trading. At Crypto Market, we leverage AI to power trading bots and market analysis tools, providing our clients with real-time insights and automated strategies tailored to their needs. Explore more about how AI is transforming trading dynamics in our AI Agents Hub.

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