By vimtara_admin on 8/26/2026
Table of Contents
ToggleA related party transaction rarely looks risky when viewed in isolation.
A ₹5 lakh service invoice may look routine. A property lease may look commercially reasonable. A recurring purchase agreement may appear no different from any other vendor contract.
The risk appears when the company connects the relationship, transaction, cumulative value, approval status and supporting records.
That is the central challenge of related party compliance in growing businesses.
As companies add vendors, subsidiaries, directors, contracts and business locations, compliance data becomes fragmented across accounting systems, ERP platforms, spreadsheets, contracts, Board records and email. Finance teams may know the transaction. Company Secretaries may know the relationship. Legal teams may hold the contract. The Board may hold the approval.
But nobody necessarily has the complete picture in real time.
This is where AI Statutory Compliance can strengthen the control environment.
AI Statutory Compliance can connect financial and corporate information, monitor transactions continuously, identify potential related party risks, create automated board approval flags and maintain a clear record of the action taken.
For companies building stronger corporate risk management, the shift is important:
Do not wait for the compliance review to find the risk. Build a system that surfaces the risk when the transaction happens.
Section 188 Companies Act compliance refers to following the requirements that apply to specified contracts and arrangements between a company and its related parties.
Section 188 covers transactions such as:
| Transaction Type | Example |
|---|---|
| Sale, purchase or supply of goods | Buying products from a related entity |
| Sale or purchase of property | Purchasing property from a connected company |
| Lease of property | Renting premises from a related party |
| Availing or rendering services | Receiving consulting or technology services |
| Appointment of agents | Appointing a related party as an agent |
| Office or place of profit | Certain appointments involving remuneration |
| Underwriting | Underwriting specified securities or derivatives |
The Companies Act requires Board consent for these specified contracts and arrangements, subject to prescribed conditions. In specified cases, prior approval of the company by resolution is also required. The Act also provides an exception for transactions entered into in the ordinary course of business other than transactions that are not on an arm’s length basis.
This means that simply identifying a related party is not enough.
The company must also understand:
That is why AI Statutory Compliance is particularly relevant to related party risk.

The traditional process often looks like this:
Accounting team: Records the invoice.
Procurement team: Maintains vendor information.
Legal team: Stores the contract.
Company Secretary: Tracks Board approvals.
Finance team: Calculates transaction values.
Management: Reviews reports periodically.
Every team may be doing its job correctly.
The problem is the connection between the jobs.
A related party transaction can become difficult to manage when the data needed to assess it sits in different places.
A company may know that:
But it may not immediately know that all five facts relate to the same compliance event.
This is the problem that a modern AI Statutory Compliance platform is designed to address.
Spreadsheets are often the first solution companies use.
They are simple, familiar and inexpensive.
But they depend heavily on manual updates.
A finance professional has to enter the transaction. Someone has to update the related party list. Another person may need to calculate the cumulative value. Someone else may need to verify the approval status.
That creates several points where information can become stale.
| Manual Risk | What Can Go Wrong |
| Outdated related party list | A new relationship may not be captured |
| Manual transaction entry | A transaction may be missed |
| Separate approval tracker | Approval status may not match the financial record |
| Manual cumulative calculations | Total exposure may be delayed |
| Scattered documents | Evidence takes longer to retrieve |
| Periodic review | Issues may be discovered after the transaction |
A spreadsheet is not inherently ineffective.
The problem is using a static tracker to manage a dynamic compliance environment.
AI Statutory Compliance changes that model from periodic tracking to continuous monitoring.
Consider a company that enters into a consulting arrangement with an entity connected to one of its directors.
The first invoice is ₹6 lakh.
The second invoice is ₹7 lakh.
The third invoice is ₹9 lakh.
A fourth transaction is approved and scheduled.
Individually, each transaction may look manageable.
Together, they create a much clearer picture.
Rule 15 contains prescribed conditions and thresholds for specified related party transactions, and relevant transaction values can need to be considered individually or together with previous transactions during the financial year.
That is why a good Related Party Transactions tracker should not simply answer:
“What was the last transaction?”
It should answer:
“What is the company’s total exposure, what approvals apply, and what requires attention now?”
This is where AI Statutory Compliance has a practical advantage.

Vimtara describes its AI Statutory Compliance platform as a system that maps a company’s compliance universe, continuously monitors obligations and risk signals, and keeps documents, tasks and audit logs connected. It covers areas including GST, TDS, ROC, MCA, PF, ESI and Professional Tax.
The same operating model provides a strong framework for related party risk.
Related party compliance begins with relationship intelligence.
Potential relationships may need to be identified from:
AI can help surface potential matches and connections for review.
For example, a new vendor may appear to be a standard supplier in the accounting system.
The system may identify that the vendor has a connection to a director or another relevant party.
Instead of discovering that connection during an audit, the compliance team can review it earlier.
This is the first major benefit of AI Statutory Compliance:
Risk becomes visible earlier.
After a potential related party is identified, transaction monitoring becomes critical.
A modern Related Party Transactions tracker can connect the relationship to actual financial activity.
A transaction record could show:
| Field | Example |
| Related party | ABC Advisory Pvt. Ltd. |
| Relationship | Connected to director |
| Transaction | Consulting services |
| Current invoice | ₹8 lakh |
| FY cumulative value | ₹42 lakh |
| Contract | Available |
| Approval status | Review required |
| Action owner | Compliance team |
The value is not just in storing the information.
The value is in connecting it.
The finance team can see the transaction.
The compliance team can see the relationship.
The Company Secretary can see the approval status.
Management can see the risk.
That is what makes AI Statutory Compliance more than a digital checklist.
One of the most useful applications of AI Statutory Compliance is intelligent alerting.
A system should not simply produce hundreds of notifications.
It should help identify events that require human attention.
This is where automated board approval flags become important.
An automated board approval flag can surface information such as:
The goal is not to have AI approve the transaction.
The goal is to ensure the appropriate person sees the issue before it becomes a larger problem.
Vimtara follows a human reviewed model in which AI monitors compliance activity while people review and approve critical actions.
That balance is essential for serious corporate compliance.
A common mistake in transaction monitoring is looking only at the current transaction.
Related party risk often develops over time.
A company may have:
| Month | Transaction |
| April | ₹5 lakh |
| June | ₹7 lakh |
| August | ₹8 lakh |
| October | ₹10 lakh |
| December | ₹12 lakh |
| Cumulative value | ₹42 lakh |
A static invoice review cannot provide this context.
A Related Party Transactions tracker can.
With AI Statutory Compliance, cumulative information can become part of the monitoring workflow rather than a calculation performed only during a periodic review.
That helps finance teams understand the company’s position while there is still time to act.
Related party compliance does not stop when the transaction is flagged.
The company needs evidence.
That may include contracts, Board resolutions, shareholder approvals where applicable, transaction records, supporting documents, disclosures and other relevant information.
Section 188 also requires covered contracts or arrangements to be referred to in the Board’s report with justification.
This makes document availability part of effective corporate risk management.
Vimtara positions its broader platform as an environment that connects compliance records, documents and audit evidence rather than leaving information scattered across separate systems.
Traditional compliance software often answers:
What is due?
A stronger AI Statutory Compliance system should also answer:
What looks risky?
Why does it matter?
Who needs to act?
What evidence supports the decision?
This distinction matters for related party transactions.
A simple tracker can record that a transaction exists.
An intelligent compliance system can connect the transaction to the relationship, approval process and supporting evidence.
| Traditional Approach | Vimtara AI Statutory Compliance Approach |
| Periodic review | Continuous monitoring |
| Static spreadsheet | Connected compliance workflow |
| Manual risk discovery | AI assisted risk detection |
| Manual approval tracking | Automated board approval flags |
| Separate documents | Connected audit evidence |
| Reactive escalation | Earlier risk visibility |
| Multiple data sources | Unified compliance environment |
Vimtara’s platform describes this broader model as a Finance Command Center that brings compliance, financial information, contracts, documents and expert support into one environment.
Consider a growing company with 700 active vendors.
One vendor is owned by an entity connected to a director.
The finance team receives a ₹9 lakh invoice for professional services.
The invoice enters the accounting system.
The payment is processed.
The Company Secretary reviews related party transactions during a later compliance exercise.
The relationship is discovered.
The team then has to reconstruct:
The compliance team is now working backwards.
The transaction enters the financial workflow.
A potential related party relationship is identified.
The transaction appears in the Related Party Transactions tracker.
The cumulative exposure is updated.
An automated board approval flag is generated for review based on the company’s configured compliance rules.
The finance or compliance team reviews the transaction.
The relevant approval path is confirmed.
Supporting documents are attached to the record.
The audit trail is preserved.
The key difference is timing.
The first approach discovers information later. The second approach is designed to surface risk earlier.
Related party compliance should not be treated as a narrow legal task.
It affects finance, governance, audit readiness and corporate risk management.
AI Statutory Compliance can provide a clearer view of financial and compliance exposure.
A Related Party Transactions tracker can support stronger transaction monitoring and approval visibility.
Automated alerts can reduce repetitive checking and help teams focus on transactions requiring review.
Connected contracts and transaction information can provide better context for legal review.
Risk information can be presented earlier and in a more structured form.
The broader objective is simple:
Give decision makers the right information before the compliance issue becomes expensive.
Modern corporate risk management is increasingly about early warning.
A business should not wait for an audit finding to understand that a compliance control is weak.
It should know:
This is the role AI Statutory Compliance can play.
It creates a continuous feedback loop:
Business activity → AI monitoring → Risk signal → Human review → Action → Evidence
That is a much stronger operating model than:
Business activity → Spreadsheet → Periodic review → Issue discovered
Section 188 has specific consequences for contracts or arrangements entered into without the required consent or approval. Where the required approval is not obtained and the transaction is not ratified within the prescribed three month period, the contract or arrangement can become voidable under the section. The provision also creates consequences for directors or employees who enter into or authorize transactions in violation of the section.
The lesson for businesses is straightforward:
A compliance control is more valuable before the risk occurs than after the audit finds it.
That is why AI Statutory Compliance should be viewed as a prevention and monitoring capability, not simply a filing tool.
A strong Related Party Transactions tracker should give the company a single operational view.
| Monitoring Area | What the System Should Show |
| Related party | Name and relationship |
| Transaction | Type and description |
| Value | Current and cumulative amount |
| Contract | Agreement and key terms |
| Approval | Board or shareholder approval status |
| Timeline | Transaction and approval dates |
| Evidence | Supporting records |
| Ownership | Person responsible for action |
| Risk | Current status and priority |
This makes the tracker useful to both operational and governance teams.
It also makes AI Statutory Compliance more actionable.
Potential related party risks can be surfaced closer to the transaction date.
Finance teams can see current and cumulative transaction values together.
Automated board approval flags can direct attention to transactions that need review.
Contracts, approvals and supporting documents can stay connected to the compliance event.
Teams spend less time comparing spreadsheets, emails and folders.
Management gets a more current view of compliance exposure.
The monitoring process can continue as the company adds vendors, entities and transactions.
Related party risk does not always arrive as an obvious red flag.
It may start with an ordinary vendor.
It may start with a routine invoice.
It may start with a contract that looks commercially reasonable.
The risk becomes visible when the company connects the data.
That is the real value of AI Statutory Compliance.
A strong compliance system can help companies:
Identify potential related parties.
Monitor transactions continuously.
Track cumulative exposure.
Generate automated board approval flags.
Connect contracts and supporting records.
Keep human decision makers in control.
For companies strengthening Section 188 Companies Act compliance, this creates a more proactive and scalable operating model.
Related party compliance is not simply a matter of maintaining a list of related parties.
It is a matter of connecting relationships, transactions, values, approvals and evidence.
That is why a modern Related Party Transactions tracker should do more than record historical transactions.
It should help answer what is happening now, what has changed, what requires review and who needs to act.
AI Statutory Compliance makes that approach possible by bringing continuous monitoring and intelligent risk detection into the compliance workflow.
Vimtara extends this model beyond individual compliance tasks. Its AI Statutory Compliance platform combines continuous obligation monitoring, risk detection, connected documentation, audit readiness and human reviewed actions within a broader Finance Command Center.
For finance leaders, Company Secretaries and growing businesses, the objective is clear:
Detect the risk early.
Review it with the right context.
Obtain the required approval.
Document the decision.
Keep the evidence ready.
That is the difference between simply tracking compliance and actively managing compliance risk.
And that is where AI Statutory Compliance can become a strategic part of modern corporate risk management.
Book a Demo with Vimtara Today!
AI Statutory Compliance uses artificial intelligence and automation to monitor statutory obligations, identify compliance risks, track required actions and organize evidence. Vimtara uses this model to continuously monitor areas such as GST, TDS, ROC, MCA, PF, ESI and Professional Tax.
Section 188 Companies Act compliance means following the requirements applicable to specified contracts and arrangements between a company and related parties, including applicable Board approval, prescribed shareholder approval, conditions and disclosures.
A Related Party Transactions tracker is a system that records and monitors related party transactions, their values, approvals, contracts, relationships and supporting evidence.
Related party risk can build over multiple transactions. Continuous monitoring helps the company view the current transaction together with the cumulative position and applicable approval requirements.
Automated board approval flags are alerts that identify transactions or events that may require review or approval. They help direct the relevant finance, legal or compliance professional to the transaction.