Dhanvidhatri: How Norbit AI Unified Trading, Payroll, and Books to Power Real-Time Profitability
The Challenge: Disconnect Between Trading Systems and Financial Books
Dhanvidhatri, an Indian investment and stock advisory firm, manages high‑volume equity portfolios and proprietary trades.
But behind their market success lay a growing operational challenge — reconciling financial data across multiple disconnected systems:
- Demat & Broker Accounts: Holding and transaction data from NSDL and CDSL participants.
- Bookkeeping System: Accounting data in Tally with manual entry of daily trades and settlements.
- Payroll System: Monthly trader incentives and performance bonuses Iinked to portfolio results.
Each platform generated its own reports, and finance teams stitched them together in spreadsheets.
The result:
- Trades and holdings took 7–10 days to reconcile with books each month.
- Incentive calculations were often off by 3–5% due to timing mismatches.
- Profitability snapshots were backward-looking, not real-time.
As trading volumes scaled up, so did the reconciliation risk. Leadership needed a way to unify these systems — reducing manual errors and uncovering accurate daily profitability.
The Turning Point: Norbit AI Builds an Integrated, Automated Reconciliation System
When Dhanvidhatri partnered with Norbit AI, the goal was clear — to bring every financial touchpoint under a single automated intelligence layer.
Within weeks, Norbit’s engineers designed and deployed a data integration and reconciliation system that seamlessly connected:
- Demat APIs and broker feeds (for live positions, transactions, and settlements)
- Tally-based bookkeeping system (for ledger postings, fees, and adjustments)
- Payroll & performance management tools (linking incentives to realized gains)
The Norbit AI engine automated reconciliation between these layers and produced real-time analytical dashboards showing precise trading profitability and cash visibility.
Data Integration in Action
Key Automations Implemented:
| Area | Before | After Norbit AI Integration |
|---|---|---|
| Demat Reconciliation | Manual import of 1000+ daily transactions; 2 analysts reconciling weekly | Fully automated — trades match to ledgers in 15 minutes; exceptions flagged automatically |
| Fee & Brokerage Accounting | Entries posted manually, often delayed | Auto-calculated from brokerage feeds with correct GL mapping |
| Payroll & Incentives | Based on end-of-month reports; lagging by 10 days | Live linkage with profitability dashboard; automatic incentive calculation |
| Profitability Reporting | Quarterly reports post-close | Real-time profit/loss, cost-to-revenue ratio, and performance insights daily |
The Results: Real-Time Profitability and Control
Within 60 days of implementation, Dhanvidhatri transformed its financial operations from delayed manual reporting to real-time control.
Quantifiable Impact
| Metric | Before Norbit AI | After Norbit AI |
|---|---|---|
| Average reconciliation time | 7–10 days | < 2 hours daily |
| Accuracy of incentive computation | ±5% variance | 99.7% matched accuracy |
| Time spent preparing monthly P&L | 3–4 working days | Done automatically, daily |
| Data-entry workload | ~60 hours/month | < 10 hours/month |
| Real-time visibility | None | Full portfolio and cash reconciliation dashboard |
Managers could now view daily P&L segmented by trader, desk, and instrument type.
The CFO’s team gained confidence in numbers across all financial systems — for the first time, every trade, fee, and salary component was fully reconciled in one view.
Unlocking Strategic Visibility
Beyond automation, Norbit AI’s unified system enabled new levels of insight:
- Integrated Financial Intelligence: Links between Demat data, ledger adjustments, and payroll showing precise cost-to-yield per trading strategy.
- Regulatory Compliance Support: Simplified data access for audit and SEBI inspection requirements.
- Scalable Infrastructure: Supports 5× the current transaction volume without adding analysts.
“We used to wait a week to know our true trading P&L. Now, we see it every morning — reconciled, validated, and actionable.”
— Finance Head, Dhanvidhatri
Key Takeaways
- Real-time reconciliations eliminate human lag and reveal profitability instantly.
- Integrating Demat, payroll, and bookkeeping data creates a single source of financial truth.
- Continuous AI reconciliation prevents underpayment errors, over‑accruals, and missing trades.
- Finance teams shift from data gathering to insight generation.
Building the Future of Financial Visibility
Dhanvidhatri’s journey shows how even in complex, high‑volume financial environments, automation can redefine accuracy and speed.
With Norbit AI as the connector between systems, their finance team now operates with live visibility and complete reconciliation across trading, payroll, and accounting — every single day.
If your organization still waits weeks to reconcile core systems, it’s time to move from delay to daily clarity.
Get in touch with Norbit AI to build your own integrated financial intelligence layer.