Turning data challenges into solutions for your success. GenAI-powered data automation with XDAS. A Mobius company. #DataAutomation #GenAI
United States
Joined August 2019
- Tweets2.9K
- Following2.3K
- Followers1.5K
- Likes89
Pinned Tweet
We’re thrilled to announce a significant milestone for @xtract_io as we officially step into a new chapter! 🎉✨ The grand opening of our brand-new office in Chennai was filled with excitement, energy, and anticipation for the future.
We had the honor of welcoming Mr. Lakshmi Narayanan, Former CEO & Vice Chairman of Cognizant, as our chief guest. “It’s not the physical but the emotional infrastructure that shapes the heart of any organization.” His inspiring message emphasized the power of leadership in building a thriving company culture.
Our founders, Karthik Karunakaran and Gautam Dalmia, shared their bold vision of making @xtract_io a Chennai-based leader with a global reach.🌎 The support and enthusiasm from everyone made this milestone even more memorable.
This new space is more than just an office; it's a launchpad for exciting opportunities and big wins.🚀We can’t wait to see what the future holds!
Join us as we continue our transformative journey and strive for new heights.
OCR vs. IDP vs. Intelligent Automation: What do you actually need?
Imagine your team receives hundreds of invoices every day.
The challenge isn't just reading them. It's getting the right information into your systems, checking that it’s correct, and acting on it.
For example, matching an invoice against a purchase order, routing discrepancies for review, and sending approved information to the ERP.
💡 The key takeaway?
Reading a document, understanding its contents, and completing a business process are three different challenges.
Before choosing a solution, ask yourself: Are you trying to capture information, make sense of it, or automate what happens next?
#OCR #IDP #IntelligentAutomation #DataAutomation
Where does your automated workflow require the most human intervention?
0%Verifying data accuracy
0%Handling exceptions
100%Resolving data conflicts
0%Reviewing outputs
1 votes • 18 hoursA 5% CAM expense increase doesn’t necessarily mean your share should increase by 5%.
Here’s why.
CAM (Common Area Maintenance) charges are often allocated based on lease-specific terms, not simply the total increase in property expenses.
🔹 Lease provisions
Do caps, exclusions, base-year provisions, or expense stops affect the amount recoverable?
💡 The takeaway
Don’t review CAM charges in isolation. Understand what changed, how it was allocated, and what your lease permits.
For teams managing multiple commercial leases, getting this right consistently requires more than spreadsheets and manual calculations.
Explore our guide to CAM reconciliation software
👉shorturl.at/FCVUD
#CAMReconciliation #CommercialRealEstate #LeaseAdministration
Fast extraction doesn’t always mean better lease abstraction.
A lease abstraction tool can pull hundreds of data points from a document in minutes.
But speed is only one part of the equation.
That’s where the real difference between “extracting data” and “understanding a lease” starts to show.
When evaluating a software, look beyond extraction speed. Consider how well the solution handles complexity, validation, exceptions, and the realities of your portfolio.
The best solution isn’t the one that extracts the most data. It’s the one that gives you data you can actually trust and use.
We explored what to look for when evaluating a solution, and choose the right one for your portfolio.
👉 Read the guide: shorturl.at/JtT80
Automation isn’t really automation if humans still have to keep the process moving.
A workflow might start automatically.
📥 Data gets extracted.
⚙️ Rules are applied.
🔄 Records are created.
If every exception sends the process back to a manual queue, you haven’t eliminated the work.
You’ve simply automated the easy part.
True operational automation needs to handle both:
✅ The routine → automatically
⚠️ The exceptions → intelligently
The goal isn’t automation for automation’s sake.
It’s building workflows that can keep moving, with the right human involvement, only when it’s actually needed.
That’s where intelligent automation starts to create real operational value.
👉 Explore XDAS: shorturl.at/2mrSi
Enterprises don’t have a shortage of data.
They have a shortage of data that’s ready to drive action.
Information sits across documents, emails, applications, databases, and business systems.
When teams still need to manually review, reconcile, interpret, and move information from one system to another, valuable data can become operationally slow.
The real opportunity isn’t collecting more data.
It’s shortening the distance between data and action.