In the rapidly digitizing economy of Indonesia, finance departments are transitioning from back-office record-keepers to essential strategic partners. However, many enterprises still struggle with manual bottlenecks that consume hours of skilled labor and heighten the risk of error. This case study of a leading Indonesian ICT provider illustrates how Robotic Process Automation (RPA) serves as a “Digital Muscle” to eliminate these inefficiencies. Beyond immediate gains, this foundation is now paving the way for Agentic Automation—a “Digital Brain” capable of handling ambiguity and unlocking the next frontier of financial intelligence.
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When Manual Finance Operations Hold Back Growth
In today’s data-driven economy, finance teams are no longer just record-keepers—they are expected to deliver insights, drive strategy, and support real-time decision-making.
Yet, for many large enterprises, especially in the ICT sector, finance operations are still heavily dependent on manual processes. This creates a critical bottleneck: while the business moves faster, finance struggles to keep up.
This was exactly the challenge faced by Lintasarta, one of Indonesia’s leading ICT service providers. Faced with increasing transaction volumes and growing operational complexity, the company needed a smarter way to manage its financial workflows.
The answer came through intelligent automation.
About Lintasarta: Operating at Scale in a Data-Intensive Industry
Lintasarta is a pioneer in Information and Communication Technology (ICT) in Indonesia, established in 1988.
The company provides comprehensive, end-to-end ICT solutions across diverse sectors, including finance, manufacturing, and public services. With over 35 years of experience and a base of more than 2,300 corporate clients, Lintasarta continuously develops its services to accelerate the nationʼs digital transformation. Its service excellence is built on reliable infrastructure, certified experts, and a profound commitment to helping businesses expand.
As a major ICT provider in Indonesia, Lintasarta handles vast amounts of data and financial transactions daily. While the business scaled, the limitations of manual processes became increasingly evident, especially in Finance & Accounting department
The Challenge: Time-Consuming, Error-Prone Financial Processes
The Finance & Accounting department performs critical daily data acquisition from the global D&B Hoovers platform. Two processes were identified as significant resource drains:
1. Data Crawler: Manually logging in, selecting lists of companies (up to 50 per week), copying all visible data fields, and pasting them into a master Excel file.
2. Download Financial Reports: Systematically searching for each company from the list, downloading the detailed “OneStop Report,ˮ extracting key data (financials, company details), and saving the files.
Collectively, these two manual tasks consumed 5 hours (300 minutes) of staff time every day. This daily bottleneck limited the departmentʼs scalability and introduced the inevitable risk of human error when copying and extracting crucial financial data.
The Solution: Deploying Robotic Process Automation (RPA)
Lintasarta corporated to Akabot to deploy an automation process (RPA) aiming to resolve the problem.
A single software bot was adopted to seamlessly manage both sequential processes using the existing application landscape: app.dnbhoovers.com (Web), MS Excel, MS Outlook, and a Share Folder. The project focused on replacing the manual interaction steps with autonomous, script-based operations.
100% steps at the flows were automated with Akabot:
- Data Crawler Automation: Automatically collecting and extracting data from multiple sources
- Report Downloader Automation: Streamlining the downloading, processing, and consolidation of reports
Value of the Automation
The automation implementation delivered immediate and significant operational benefits to the Finance & Accounting department:
- Massive Efficiency Gain: Over 21 working hours per week saved allows staff to reallocate time to critical tasks.
- Guaranteed Accuracy: Achieving 100% accuracy in core financial data extraction is paramount, ensuring that subsequent analyses and reports are based on pristine, reliable information.
- Strategic Focus: By transferring this high-frequency, manual workload to an automated operation, Lintasarta enables its finance staff to concentrate on more valuable, intellectual tasks, such as interpreting financial trends, risk assessment, and process improvement, thereby accelerating the companyʼs internal digital transformation and strategic output.
akaBot enabled:
- End-to-end automation of repetitive tasks
- Seamless integration with existing systems
- High-speed processing with minimal human intervention
This shift allowed finance professionals to move away from repetitive tasks and focus on high-level analysis and strategic planning. Consequently, leaders now benefit from real-time visibility and more reliable insights, enabling faster, data-driven business decisions.
The Next Frontier: Unlocking Infinite Potential of Automation in Finance
The Foundation: Lintasarta’s RPA Success
The Lintasarta case demonstrates the power of Robotic Process Automation (RPA) as a “Digital Muscle.” By automating the collection and consolidation of reports, Lintasarta successfully eliminated the 5-hour daily manual grind and boosted accuracy to 99%. At this stage, the technology is highly effective at following “if-then” rules to move data between systems, providing the essential speed and reliability needed for high-volume financial processing.
Agentic Automation: The Shift Toward Autonomy
Moving beyond RPA, technology is unlocking a new realm of potential through Agentic Automation—a “Digital Brain” that can handle ambiguity. Unlike RPA, which follows a linear path, an AI agent can evaluate a goal—such as “reconcile all disputed accounts”—and autonomously decide which tools or data sources to use to solve the problem. This introduces a level of flexibility and “common sense” that traditional automation lacks.
Potential Implementation: Strategic Financial Intelligence
In a finance setting, the implementation of Agentic AI moves beyond simple workflows to complex decision-making, such as autonomous fraud detection or real-time budget forecasting. For instance, an AI agent could independently investigate a budget variance by querying department heads and analyzing market trends, presenting a finished solution instead of just a raw report. This transforms the finance department from a processing center into a proactive hub of strategic intelligence.
Break Through with akaBot (FPT IS) – An Intelligent Automation Ecosystem
As a pioneer in Intelligent Automation, akaBot provides more than just a tool; it offers a comprehensive ecosystem proven across more than 20 countries. As a “RPA Leader” in Asia, serving over 500 processes per enterprise, akaBot deeply understands the specific needs of the manufacturing market to design the most practical solutions.
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