No More Scrolling-AI’s got your Audit coveredRecord inserted or updated successfully.
AI & Accounting

No More Scrolling-AI’s got your Audit covered

Author : CA Harshil Hakani

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The Problem with Manual Change Detection

  1. Uncontrolled edits: Clients change data without notifying the team.
  2. Time-consuming: Identifying and verifying changes manually is labor intensive.
  3. Lack of clarity: Changes often go unnoticed until discrepancies arise.
  4. Risk of errors: Manual checks increase chances of missing critical changes.

The Process of Detection of Change

When you receive updated Tally data, identifying changes is a time-consuming process.

  1. Audit Logs must be checked one by one.
  2. Trial Balance comparison only shows ledger-level changes, not individual transactions.
  3. This results in inefficiency, errors, and missed modifications, highlighting a significant challenge in data management.

Understanding TDL – Tally Definition Language

  1. Built-in Language: TDL is Tally’s proprietary programming language, designed for seamless integration within the software.
  2. Customization: It enables extensive customizations, including automated reports, data validations, and user interface tweaks.
  3. Seamless Integration: TDL integrates directly into Tally, eliminating the need for external tools and simplifying solution deployment.

Prompt Given:

“Give me a TDL for TallyPrime6 to extract Date, VoucherType, VoucherNumber, Narration, UpdatedTime from Voucher Register/Daybook”

Using AI to Generate TDL – Do It Right

  1. AI Generation: AI tools like ChatGPT can generate TDL scripts, but often use default field names that may not match Tally's XML structure.
  2. Export Sample: To avoid errors, export a sample voucher in Tally XML format to identify the correct field names.
  3. Accurate Prompting: Use the identified correct field names, such as PARTYLEDGERNAME or AMOUNT, when prompting AI for accurate TDL generation.

Automating Change Detection with Custom TDL

  1. Automated Flagging: A custom TDL solution automatically flags both added and modified vouchers within Tally.
  2. Transaction Marking: Transactions are marked using a logical field and then filtered into a custom report for easy review.
  3. Efficiency Gains: This automation leads to a faster review process, reduced manual effort, and immediate insight into changes.

Why TDL is Better Than Audit Log or TB Comparison

TDL offers a clearer, faster, and more scalable solution compared to traditional methods. While Audit Logs require individual checks and Trial Balance only shows ledger-level changes, Custom TDL provides a comprehensive, voucher-level summary in one convenient location.

From Manual Effort to Instant Insights

  1. Outdated Methods: Old methods like audit logs and Trial Balance comparisons are slow and provide incomplete insights into data changes.
  2. Instant Visibility: Custom TDL provides instant visibility into added or modified transactions, streamlining the audit process.
  3. Smarter Audits: This automation saves time, reduces resource usage, and enables smarter, more efficient audits.

Automate the Detection. Focus on the Decisions.

By automating the detection of changes in Tally data, businesses can shift their focus from tedious manual efforts to making informed decisions. This strategic approach not only enhances efficiency but also empowers users to leverage their time and resources more effectively, leading to smarter and more impactful outcomes