The Bravo 500 Summit 2026, hosted by XL Smart for Business, brought together hundreds of business leaders, regulators, and global technology partners to tackle some of the most pressing questions in digital transformation today — from AI adoption to data integration. Among the voices featured was Agung Darmawan, Country Manager Indonesia at TrueWatch, who sat down with Detikcom, a top online news platform in Indonesia, for an exclusive conversation on what it really takes for organizations to transform digitally in the AI era.
The complexity problem: when digital platforms meet AI
Agung opened by pointing out that digital platforms have become both more complex and more central to revenue generation and layering AI on top only raises the stakes. When a digital platform breaks down, especially one handling financial transactions, the immediate question becomes: where does visibility come from? Without clear insight into how an AI-integrated platform is performing, businesses are left supporting systems they can't fully see into.
Visibility tells you something's wrong. Observability tells you why.
It's worth drawing out a distinction here, because it's central to where TrueWatch is headed next. Visibility — the kind Agung referred to — is essentially what a dashboard gives you: metrics, logs, and alerts that confirm something looks off. It's a necessary foundation, but on its own it's retrospective. It tells a team a spike happened, not what caused it or what to do next.
Observability goes a layer deeper. Rather than just surfacing symptoms, it correlates metrics, logs, and traces together to explain the underlying behavior of a system, and find a problem back to its root cause. For enterprises running increasingly complex, AI-integrated platforms, that distinction is exactly what separates a team that reacts to alerts from one that actually understands its systems.
Three pillars for staying competitive
Looking beyond TrueWatch specifically, Agung outlined what he sees as universal priorities for any enterprise running AI on digital platforms:
- Clean data first. Well-governed, properly sanitized data is non-negotiable — AI models learn from what they're fed, and poor-quality inputs simply produce poor-quality outputs.
- Visibility, especially around cost and efficiency. This becomes even more critical with cloud-based AI, where every query carries a real running cost that needs to be tracked and understood.
- Insight-driven decision-making. When AI-assisted insights are layered on top of a solid data and visibility foundation, businesses can meaningfully improve customer experience and stay competitive.
(Watch the full interview here)
Where Toby AI Agents comes in
This is precisely the gap TrueWatch is building toward with Toby AI Agents. Where conventional monitoring tools stop at the dashboard, Toby AI Agents is built to work past it — tracing dependencies across a system, ruling out noise, and surfacing an actual root cause before a team even opens their laptop. That's the visibility-to-observability shift in practice.
It's designed to operate as a deployable AI engineering team, with pre-built specialist templates — SRE, FinOps Analyst, Security Engineer, among others — that can be stood up in around 60 seconds. Autonomy is configurable per action: safe, routine fixes can run fully automatically, while higher-risk actions are gated behind one-click approval. Every action is logged for a full audit trail, so teams gain observability's deeper understanding without losing control over what the AI is actually doing in production.
For Indonesian enterprises navigating the same pressures Agung raised — platforms that are more complex, more AI-integrated, and increasingly core to revenue — moving from surface-level visibility to genuine observability is positioned to be a key building block for sustainable digital transformation.
A call for collaboration
Reflecting on TrueWatch's two years in Indonesia, Agung expressed pride in being positioned alongside other leading digital solutions at the summit. Echoing remarks from Communication and Digital Affairs Minister Mutia Hafiz on the importance of responsible AI use, he emphasized that this is a shared responsibility — not just for enterprises, but for individuals and future generations. His hope for the summit: deeper collaboration with XL Smart and its partner ecosystem to bring AI more meaningfully into both everyday life and business.
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