Agentic Al Data Pipeline Automation for Subscription Businesses.docx

yoogaswaranayyasamy 7 views 6 slides Sep 22, 2025
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About This Presentation

Al-driven data pipeline automation for subscription businesses. Uplift efficiency with automated data ingestion, data quality automation, and Salesforce sync.


Slide Content

Agentic Al Data Pipeline Automation for
Subscription Businesses
Al-driven data pipeline automation for subscription businesses. Uplift
efficiency with automated data ingestion, data quality automation, and
Salesforce sync.
From Data to Decisions: The Agentic AI Pipeline
for Subscription Businesses (LD Data)
In today's fast-paced business world, efficiency is everything. For companies that rely on
subscription models or frequent file-based data sourcing from platforms like Lease Dimension
(LD), a critical bottleneck often emerges: the manual process of handling raw data. Clogged with
inconsistent formats, missing information, and shifting structures, this data chaos can cripple
operations and delay crucial business decisions.
Our Agentic AI-powered data pipeline automation is the solution to this problem. It’s a self-
managing data pipeline that automates the entire journey from raw file to business insight,
eliminating manual work and ensuring your data is always accurate and ready for action.
The Problem: The Hidden Complexity of Raw Data
File-based data sourcing is essential, but often comes with a host of hidden complexities that a
human has to solve manually. Before our AI, these were the few daily obstacles:
Page-Wise Processing: Reports often split data across multiple pages. The AI uses "Page
number" to process each page independently, ensuring every data row and piece of
metadata is correctly extracted.
Shifting Header Rows: Files often have header rows that move, making it impossible to use a
fixed row number. Our system automatically detects the header row instead of assuming
a fixed position.
Duplicate Column Names: It's common for columns to have the same name, requiring
manual fixes. Our system automatically makes column names unique (e.g., NUMBER,
NUMBER.1).
Inconsistent Formatting: A single report can contain multiple date formats (e.g., mm-dd-
yyyy, mm/dd/yy) or numbers with extra characters like $ or. The AI cleans these before
converting them to numeric values and handles various date formats safely.

Missing or Incomplete Data: Fields like PERIOD_FROM and PERIOD_TO are often
missing. The AI adds logic to extract this data from the file text. For missing data within
rows, such as LEASE_NAME or LESSEE_NAME, it uses forward-filling to ensure
completeness.
Unnecessary Columns: Files can have extra or blank columns with headers like “Unnamed”
that have to be removed. The AI automatically removes these.
Missing File Metadata: Important information like FILE_NAME, LOAD_DATE, and
FILE_LAST_MODIFIED is often absent from the data itself. The AI automatically
inserts columns for this critical metadata.
And many more …
This is where automated data ingestion powered by AI changes the game, streamlining messy
CSV files into structured datasets.
The End-to-End Automation Pipeline
Our process begins with the raw data and transforms it into actionable insights. Here’s how it
works:
1. Data Ingestion & Cleansing:
The The journey starts when raw data files are provided, typically in a BI publisher format from
systems like Oracle EBS. Our Agentic AI automatically ingests these files, performs a thorough

cleansing process, and stores the clean data in a standardized CSV format, ready for the next
stage.
This architecture illustrates an AI-driven orchestration framework for automating subscription
data pipelines, where raw files ingested into Cloud Storage trigger an event via Pub/Sub, which
invokes Cloud Run for serverless execution. The Orchestrator Agent powered by ADK manages
the flow, invoking a Data Quality Agent to validate and generate findings that are either passed
to a Transformation Agent for cleaning and reformatting or logged into Exception Memory. With
Exception Memory (JSON logs in GCS and vector index via RAG) integrated into a Vector
Database, the system establishes a feedback loop, enabling continuous learning and smarter
handling of recurring issues. Clean, structured files are then written back to GCS and seamlessly
loaded into the BigQuery SRC layer, ensuring high-quality, analytics-ready data while reducing
manual intervention, accelerating insights, and building a self-improving data processing
ecosystem.

2. Multi-Layered Data Processing:
The cleaned data is then moved through a sophisticated, multi-layered data architecture.
Bronze Layer: The raw, cleaned data is first mirrored into our bronze layer. This serves as a
pristine, immutable record of every incoming file, ensuring a complete audit trail.
Silver Layer: From the bronze layer, the data is refined and enriched. Our AI agents apply
business logic, combine disparate data points, and prepare the data for reporting and analysis.
Gold Layer: The final, aggregated data resides in the gold layer. This is the single source of truth,
a curated, highly organized dataset optimized for performance and consumption by various
downstream applications.
At every step, data quality automation ensures consistency, completeness, and readiness for
downstream use.
3. Actionable Insights & Reporting:
Using the data from the gold layer, we create a powerful data mart that feeds multiple business
intelligence (BI) visuals. This allows different teams, from finance to sales to operations, to
access tailored dashboards with unique "flavors" of data, all relevant to their specific needs.
4. Real-Time Salesforce Integration:
One of the most critical components is the daily update of payment transactions. Our system
automatically processes a dedicated “Daily Payment/Invoice Extract” file and updates payment
records in Salesforce. This Salesforce data integration ensures accuracy in reporting, commission
calculations, and customer service.
The Benefits of LD Data: A Tailored View for Every Audience
By using our Agentic AI to manage LD data, you unlock benefits for every part of your
organization.
For Managers: Your time is valuable. Our system gives you immediate, high-level insights
from data pipeline automation into your key metrics, so you can make quick decisions
without waiting for a team to manually compile the data. With our system, you get
crucial data on time, every time.
For the Finance Team: Data quality automation ensures data is clean and consistent, which is
crucial for auditing and financial reporting. This provides a single source of truth for all
your financial metrics, from revenue forecasting to cash flow management.

For Sales & Operations: Real-time data sync with CRM platforms like Salesforce means
your teams have the most current information available for commissions, customer
accounts, and operational tracking. They can proactively monitor trends and address
issues as they arise.
For the Marketing Team: With access to clean, reliable data on customer activity, marketing
teams can develop highly targeted campaigns and identify trends that inform future
business strategy.
A Look at What's Possible: The End-of-Month (EOM) Report
Our data pipeline automation delivers a comprehensive suite of reports automatically, giving you
a clear, unvarnished view of your company's performance. Our end-of-month (EOM) report, for
example, provides a full breakdown of fleet collections and terminations and the corresponding
detail level of data for each month. This is not just a static report; it's a living document that is
generated instantly and accurately at the close of every month, saving valuable time and ensuring
you always have the latest information at your fingertips.
Why This Is a Game-Changer
Our Agentic AI solution is designed to be a self-managing system. It eliminates the need for a
separate development team to maintain the pipeline, ensuring the process runs smoothly and
adapts as your business evolves. By providing a reliable, automated, and accurate data source,

we are giving your team the gift of time, time that can be reinvested in innovation, customer
engagement, and strategic planning.
By automating the entire LD data process, we empower your company to operate at a higher
level of efficiency, with fewer errors and more valuable insights. This is the future of data
management, streamlined, intelligent, and completely automated.
Customized for Your Business Needs
Our Agentic AI is not a one-size-fits-all solution. We can continually train and enhance the
model to meet your specific business requirements. Whether you need to track new data points,
integrate with additional systems, or adjust the logic for your reports, our model can be designed
and fine-tuned to ensure it perfectly aligns with your operational goals, today and in the future.
Conclusion
Managing data shouldn’t feel like a never-ending struggle with files, errors, and delays. With
data pipeline automation, you can move from raw spreadsheets to ready-to-use insights without
the manual work. Our approach takes care of data quality, keeps Salesforce updated in real time,
and gives every team the information they need, right when they need it. By combining
automation with our data analytics consulting service, we not only simplify data handling but
also help teams put insights into action.
Want to see how it works for your business? Contact us today for a quick demo or free
consultation. We’ll get back to you within minutes.
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