Vibe Coding: How CAs Can Build Tools Without Being Tech Experts

Vibe Coding for Chartered Accountants: Building Smarter Tools Without Coding

For years, if a CA wanted custom software, there were only two options: hire an expensive developer or learn to code yourself. Neither was practical when you have audits to wrap up and deadlines to meet.

But that gap is closing.

A new approach called vibe coding is changing how software gets built. It allows you to describe what you need in plain English, while AI handles the actual coding.

What is Vibe Coding?

Vibe coding isn’t about cutting corners. It is about shifting your effort from writing syntax to thinking clearly.

Instead of worrying about programming languages, you simply explain the logic. The AI generates the software, you test it, and then refine it. Since CAs are already trained in logic, process flow, and edge cases, this approach fits our skillset perfectly.

You focus on what the system should do, not how the computer speaks.

Why This Matters for Indian Firms

Most firms rely on expensive, rigid software that isn’t always tailored to our specific practice needs. With vibe coding, a CA can quickly build:

  • A simple tracker for GST, TDS, or Advance Tax due dates.

  • An internal audit checklist customized to your firm’s specific methodology.

  • A basic document tracker for client data.

  • Client-facing dashboards without waiting on an IT team.

You do not need to know Python or Java. You just need to know exactly what you want the result to look like

Tools CAs Can Use to Build These Solutions

You do not need a full tech stack or an IT team. Most vibe coded tools are built using simple, low friction platforms combined with AI.

1. ChatGPT or Similar AI Assistants

This is the core engine of vibe coding. You describe the logic, workflows, validations, and edge cases in plain English. The AI generates the code, formulas, or automation steps. You then review and refine it like you would review work from an article assistant.

2. Google Sheets or Excel (with AI help)

For many CA use cases, spreadsheets are more than enough. Using AI, you can build

• GST, TDS, and advance tax trackers

• Due date calendars with alerts

• Audit sampling sheets

• Client wise compliance dashboards

AI can write formulas, conditional formatting, and scripts without you knowing Excel coding.

3. Notion or Airtable

These are excellent for internal firm systems. With AI assistance, CAs can create

• Document trackers

• Internal audit checklists

• Client onboarding workflows

• Status dashboards

They are visual, easy to maintain, and ideal for firms moving away from scattered Excel files.

4. No Code Builders (Bubble, Glide, Softr)

If you want something client facing, these tools work well with AI guidance. You can build

• Simple client portals

• Upload dashboards

• Filing status trackers

AI helps generate logic, workflows, and validation rules while you focus on compliance accuracy.

5. Automation Tools (Zapier, Make)

These tools connect everything together. For example

• Auto reminder emails before due dates

• Moving clients from one status to another

• Creating tasks when documents are uploaded

AI helps you design the automation logic step by step.

6. PDF and Document Tools

Using AI with document tools, CAs can generate

• Automated checklists

• Standardised audit working papers

• Client wise summary reports

This saves hours spent on repetitive documentation.

Practical Tip for CAs

Start small.

Do not aim to replace your main software. Begin with one internal pain point like due date tracking or audit checklists. Build, test, refine, then expand.

Vibe coding works best when compliance logic comes from you and execution is delegated to AI. That balance keeps risk low and efficiency high.

How it Actually Works

Think of it like delegating work to a junior article who types very fast but needs clear instructions.

  1. Explain: You tell the AI, “I want a tool that tracks client due dates and highlights overdue items in red.”

  2. Verify: The AI explains its plan back to you to ensure it understood.

  3. Build & Test: It writes the code. You test it. If a button doesn’t work or a calculation is wrong, you simply say, “Fix the calculation for leap years,” and it corrects it.

Benefits for Clients and Auditees

Clients rarely care how a system is built; they care about clarity. Vibe-coded tools can help you offer:

  • Simpler portals for uploading documents.

  • Automated reminders for filings (so you don’t have to chase them manually).

  • Better transparency on audit status.

A Word of Caution

While this is powerful, do not trust it blindly.

AI makes mistakes. In our profession, a wrong calculation or a missed compliance date has legal consequences. Every tool you build this way must be tested thoroughly. Treat the AI’s output the same way you would treat a draft from a new intern. Review it carefully before relying on it.

The Bottom Line

Vibe coding isn’t about turning CAs into software engineers. It is about solving small firm headaches without heavy IT dependency. Even a small internal tool that saves five hours a month is a win for efficiency.

Ideally, this lets you spend less time wrestling with rigid software and more time on what matters: your expertise and your clients.

Disclaimer:

This article is for general informational purposes only and should not be considered professional advice. Please consult a qualified expert for advice tailored to your specific situation. The author and website owner are not liable for any errors or actions based on this content.

The Role of Artificial Intelligence (AI) in Internal Auditing: Transforming Risk and Compliance

The Role of Artificial Intelligence (AI) in Internal Auditing: Transforming Risk and Compliance

Introduction

The rapid advancements in Artificial Intelligence (AI) are reshaping industries, and internal auditing is no exception. AI-powered tools are revolutionizing the way audits are conducted by automating repetitive tasks, improving risk assessment, and enhancing fraud detection. For Chartered Accountants (CAs) and internal auditors, AI offers significant opportunities to increase efficiency, accuracy, and compliance in auditing processes.

In this blog, we will explore how AI is transforming internal audits, its key benefits, and practical examples of AI applications in real-world auditing scenarios.

How AI Enhances Internal Audits

1. Automating Routine Audit Tasks

AI helps in automating repetitive and time-consuming audit tasks such as:

• Data extraction from invoices, receipts, and contracts

• Checking financial statements for compliance

• Performing reconciliations

» Practical Example: A multinational company implemented an AI-powered tool to automate bank reconciliations. The tool scanned thousands of transactions in seconds, flagged discrepancies, and reduced reconciliation time by 80%.

2. Advanced Data Analytics for Risk Assessment

AI can analyze vast amounts of financial and operational data to identify patterns and anomalies. It helps in:

• Detecting unusual transactions

• Predicting high-risk areas

• Improving audit sampling techniques

» Practical Example: An internal auditor at a financial institution used AI-driven analytics to assess loan default risks. The AI system analyzed past loan repayment behavior and identified high-risk borrowers, leading to improved credit assessment policies.

3. Fraud Detection and Prevention

AI algorithms can detect fraud by:

• Identifying suspicious transactions in real-time

• Analyzing employee expense claims

• Flagging duplicate invoices

» Practical Example: A retail chain used AI-based fraud detection software to monitor purchase transactions. The system detected irregular refund requests from specific store locations, leading to an internal investigation that uncovered employee fraud.

4. Compliance and Regulatory Monitoring

AI assists in ensuring compliance with regulations like GST, IFRS, and corporate tax laws by:

• Automating regulatory reporting

• Monitoring changes in tax and compliance rules

• Alerting auditors about non-compliance risks

» Practical Example: A CA firm integrated AI-powered compliance monitoring tools to track tax regulation changes. The tool automatically updated compliance checklists and flagged discrepancies in tax filings, reducing compliance errors.

5. Natural Language Processing (NLP) for Document Analysis

NLP enables AI to read and interpret contracts, policies, and legal documents to:

• Identify key terms and clauses

• Detect contract non-compliance

• Automate document reviews

» Practical Example: An internal audit team used AI to analyze vendor contracts. The AI tool scanned thousands of contracts, identified missing clauses, and highlighted high-risk agreements, reducing manual review efforts by 70%.

Challenges in Implementing AI in Internal Audit

While AI offers numerous benefits, some challenges include:

• High initial investment in AI tools

• Need for skilled auditors with AI expertise

• Data security concerns

• Dependence on accurate historical data for AI models

Conclusion: The Future of AI in Internal Auditing

AI is set to become an integral part of internal auditing, making audits faster, more accurate, and insightful. Chartered Accountants and internal auditors who embrace AI will be better equipped to detect risks, ensure compliance, and drive efficiency in auditing processes.

  • Are you ready to integrate AI into your internal audits? Let’s discuss how AI can revolutionize your audit approach!

Disclaimer:

This article is for general informational purposes only and should not be considered professional advice. Please consult a qualified expert for advice tailored to your specific situation. The author and website owner are not liable for any errors or actions based on this content.