How BukuWarung achieved up to 90% productivity gains, while cutting 70% automation discovery time

The Challenge

BukuWarung's bottleneck was figuring exactly what to automate

CEO Abhinay Peddisetty understood that AI cannot optimize what it cannot see. He launched a company-wide exercise of surfacing AI opportunities and developing a knowledge base of how work happens at BukuWarung.

With a pipeline in place to discover AI opportunities, develop SOPs, and generate automations, BukuWarung found that their bottleneck was the first two steps. Discovery and SOP documentation is manual, requires expensive cross-functional interviewing and shadowing, and is error-prone as it often does not capture the nuanced details of how work is done.

Ultimately, discovering AI opportunities and developing SOPs consumed 3x more time compared to development, testing and release of automations.

"80% of AI engineers' time was spent in interviews, meetings, and asking questions about workflows – not in writing code." — AI Chief of Staff, BukuWarung

The Solution

BukuWarung uses Worktrace AI to generate SOPs, saving weeks per automation

Worktrace AI tackles exactly the bottleneck companies like BukuWarung face in going AI first. As a fintech company, maintaining strict data residency within internal systems was non-negotiable.

After reviewing Worktrace AI's agentic-first approach, lightweight architecture and enterprise-grade security posture, BukuWarung chose to deploy Worktrace over traditional non-agentic-first tools, across their operational teams.

• Accelerates automation development by weeks per workflow
• 96-99% accuracy validated by human reviewers
• Eliminates the need for follow-up meetings with teams
• Surfaces hidden dependencies on manual trackers
• Time cost of each workflow becomes immediately visible
• Repetitive steps automatically identified and prioritized

"The workflows surfaced by Worktrace AI were 96-99% accurate, across the Operations, customer support and on-call engineering teams." — AI Chief of Staff, BukuWarung

"Worktrace accelerated workflow discovery and SOP digitization for several automations from 10 days to 3 days each. With Worktrace, we don't have to reach out to the teams every time we have a question." — AI Engineer, BukuWarung

The Results

From 400 hours to 5.4 hours of monthly operations work

With Worktrace AI, workflow data was captured and converted into actionable insights within 1 week, dramatically shortening the discovery to automation cycle and saving engineering and product resources spent on requirement gathering.

BukuWarung was able to map workflows across an operations team, accelerating their automation roadmap, enabling the company to reduce 400 hours of monthly operations work down to 5.4 hours a month.

"By working with Worktrace AI, BukuWarung was able to reduce 400 hours of monthly operations work down to 5.4 hours, within a few months." — Manager of Operations, BukuWarung

Looking Forward

Continuous discovery for continuous improvement

At BukuWarung, the transition to AI-first is not a point in time, but a transition into a new way of how operations are conducted. They plan to continue to use Worktrace AI to find and build the best automation opportunities as their own work changes and as the external AI capabilities change too.

Worktrace replaced static documentation with a live, accurate representation of how work actually happens and updating workflow procedure documents automatically.

BukuWarung estimates that automated workflow discovery and automation has increased productivity by 40% on average and up to 90% for teams that are especially operationally-heavy.