When Enod Bataa founded Mazaal AI in 2023, he wasn’t looking to build another automation tool; he was looking to solve a stubborn problem. Businesses, from small retailers to enterprise-scale corporations, are usually overwhelmed by repetitive work. Existing automation platforms promised relief but often required deep technical skills, significant investment, or both.
Enod Bataa, an AI researcher and former consultant with McKinsey’s QuantumBlack and leading Japanese tech companies, saw a gap in the market. “The tools were there, but they weren’t accessible,” he explains. “You had powerful workflow automation and emerging AI agents, but bringing them together in a way business owners could actually use; that’s what was missing.”
Plain Language, Complex Results
Mazaal AI’s central premise is simplicity: any business owner can describe their repetitive tasks in plain English, and the platform will translate that into a fully functional automated workflow. No coding, no technical background required. The company’s “Copilot” feature pushes that vision further—owners can hold a natural-language conversation with the AI to design, refine, and deploy their automations in real time.
That accessibility is underpinned by a more sophisticated engine than most no-code tools offer. Mazaal combines traditional workflow automation with what Bataa calls “agentic” AI, which are autonomous agents that can reason, make decisions, and consult with humans when necessary. This hybrid model allows the AI to interact with company knowledge bases, integrate with existing business tools, and act in ways that reflect an understanding of a company’s operational context.
From Reactive to Proactive
Where traditional automation moves data between systems, Mazaal’s agents operate more like adaptable employees. In practice, that could mean automatically checking stock, reviewing customer histories, drafting tailored responses, and pausing only when a decision requires human oversight. For example, an agent might flag an unusual bulk order request for managerial approval, learning from the decision to improve future handling.
This “human-in-the-loop” approach maintains executive control while offloading the repetitive cognitive load that slows teams down. Over time, the agents develop a deeper understanding of the business, shifting from rigid executors to collaborative problem-solvers.
Positioning for a Broader Market
Backed by NVIDIA and supported by the New South Wales government, Mazaal AI is positioning itself at the intersection of AI democratization and practical business utility. While many automation providers are layering AI on top of existing products, Mazaal’s model integrates AI reasoning from the ground up, an approach that could prove decisive as businesses look for technology that delivers measurable time savings without steep learning curves.
The implications are significant. If agentic automation can scale without sacrificing ease of use, it could mark a shift in how small and mid-sized enterprises adopt AI, moving from occasional, task-specific use to embedding AI as a constant operational partner.
As Bataa puts it, “Automation shouldn’t just be about efficiency; it should feel like you’ve added capable new team members who understand your business and grow with it.” For Mazaal AI, the challenge now is proving that philosophy can hold up under the realities of scaling across industries.
For business leaders looking to explore the next wave of automation, Mazaal AI offers an emerging model worth watching. Keep an eye on it at mazaal.ai.
