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Sinnova Tech Engineering is a Pune-based manufacturing company specialising in pressure die casting, precision machined components and aluminium-profile accessories. The company serves customers across industries including automotive, medical devices, appliances and oil & gas.
Its accounting operations are managed by a five-member in-house finance team, with Tally at the centre of its accounting workflow.
For the finance team, purchase bills are a recurring part of the accounting workload. Before AI Accountant, every bill had to be read and entered into Tally manually.
Since going live with AI Accountant in July, Sinnova has processed 400+ purchase bills, including 120+ bills in the last 30 days.
Every purchase bill meant manual Tally entry
Before AI Accountant, Sinnova's finance team entered purchase bills into Tally manually.
For every bill, an accountant had to read the document, identify the vendor, invoice number and date, check the individual line items and quantities, verify taxable values and GST amounts, select the appropriate ledger and enter the details into Tally.
For standard printed invoices, that is already repetitive work. Sinnova also receives handwritten bills from local suppliers.
On average, an accountant can take around 3–6 minutes to manually read and enter a purchase bill. For Sinnova, the time could be more than five minutes for some handwritten bills, depending on how easy the document was to read and how much information had to be entered.
With 120+ purchase bills coming in over the last 30 days, that meant several hours of repetitive data entry for the finance team.
And the work could not simply stop when someone was away.
“Every bill was typed in by hand. Vendor, items, GST, ledger, one field at a time. If one of us was on leave, the bills just piled up for whoever was left.”Anand, Accountant, Sinnova Tech Engineering
For a five-person finance team, the challenge was not just the number of bills. It was the amount of repetitive work required to turn every document into a Tally entry, and the dependency on team members being available to process them.
Looking for a way to automate purchase entry
Sinnova had evaluated a number of accounting software options before trying AI Accountant.
The team was looking for a way to reduce the manual work involved in purchase-bill entry without disrupting the accounting workflow they were already using.
Instead of moving to a new accounting system, Sinnova could add AI Accountant to its existing Tally workflow and automate the repetitive parts of purchase entry.
AI Accountant prepares the purchase entry
Sinnova connected AI Accountant with its existing Tally setup and started using it for Purchase and GST reconciliation.
There was no migration to a new accounting system. The existing Tally workflow remained in place, while AI Accountant was added to handle the work involved in reading and preparing purchase bills.
The process is simple:
- Upload the bill
- AI Accountant extracts the details
- Predicts the accounting treatment
- Accountant reviews
- Entry is posted to Tally
AI Accountant reads the purchase bill and extracts important information such as:
- Vendor name and details
- Invoice number and date
- Individual line items
- Quantities and amounts
- Taxable value
- GST details
It then uses Sinnova's existing accounting configuration to predict the appropriate ledger and GST treatment.
The accountant reviews the AI-prepared entry rather than entering every field manually and remains in control of the final accounting decision.
Sinnova reported no issues during setup, including with its accounting configuration.
From 5+ minutes of manual entry to less than 30 seconds
The part of the experience that stood out most to Sinnova's team was the speed and accuracy of extraction and prediction.
A purchase bill can now be processed in less than 30 seconds.
That is particularly significant for Sinnova because its purchase bills are not always straightforward digital invoices. Handwritten bills can require additional time to read, interpret and enter manually.
If an accountant takes an average of 3–6 minutes to manually enter a purchase bill, a bill that takes more than five minutes can represent a meaningful amount of repetitive work when the same process is repeated dozens or hundreds of times.
For Sinnova, 120+ bills in the last 30 days meant that the finance team had to deal with that repetitive process at scale.
With AI Accountant, the initial extraction and preparation of each bill takes less than 30 seconds. The accountant then reviews the prepared entry before posting it.
Since going live in July, Sinnova has processed 400+ purchase bills through AI Accountant.
95% accuracy means the accountant reviews instead of re-enters
Speed matters only when the resulting information is usable.
Sinnova estimates AI Accountant's extraction and prediction accuracy at approximately 95%.
The accountant reviews the AI-prepared entry before it is posted, allowing the finance team to remain in control while spending less time entering information field by field.
The workflow changes from manually creating every purchase entry to reviewing prepared entries and handling exceptions.
For a five-member in-house finance team, that means less repetitive data entry across the purchase workflow.
When one accountant is away, the work can still move
The benefit becomes particularly practical when someone on the finance team is unavailable.
With AI Accountant handling the repetitive extraction and entry preparation, a single accountant can now handle Sinnova's purchase workload even when another team member is on leave.
The purchase workload no longer depends on every member of the team being available to manually process each bill.
Sinnova was not looking to add another accountant specifically for purchase-entry work. Instead, the existing team can manage the workload with less dependency on each person being available.
Purchase and GST reconciliation in one workflow
Sinnova currently uses AI Accountant for Purchase and GST reconciliation, with purchase bill processing being the team's primary use case.
Rather than replacing Tally or introducing another accounting system, Sinnova uses AI Accountant as an automation layer around its existing Tally-based workflow.
The finance team continues to work with the accounting system it already knows, while AI handles the repetitive work involved in getting purchase documents into that system.
Less manual work, more capacity
Since going live in July, Sinnova Tech Engineering has:
For Sinnova's five-member finance team, the change is not about replacing Tally or replacing the accountant.
It is about reducing the manual work between receiving a purchase bill and getting a Tally-ready accounting entry.
The accountant still reviews the entry and remains in control. AI Accountant handles the repetitive work in between.
