AI in Merchant Onboarding

How Does AI Streamline Merchant Onboarding

Every time a business joins a digital marketplace, a payment gateway, or a lending platform, it goes through one key step — merchant onboarding. It may sound procedural, but it’s the process that decides who gets access to India’s fast-growing digital economy and under what conditions.

In simple terms, merchant onboarding is how a platform confirms that a business is genuine, compliant, and financially trustworthy before it begins to trade. For a payments company, it means verifying that the merchant isn’t linked to fraudulent accounts. For an e-commerce platform, it ensures that sellers are real and goods are authentic. For a bank or NBFC, it’s the first layer of due diligence before opening a current account or disbursing loans.

Why Does Merchant Onboarding Feel Complicated In India?

Merchant onboarding is not a one-size-fits-all process. A single platform may need to onboard a listed company, a private firm, a partnership, and a local shop — all in the same week. Each brings its own identity proofs, registration numbers, and verification needs.

Some submit MCA incorporation details, others provide GSTIN, Udyam registration, or FSSAI licences. The information is spread across different databases, and each must be checked independently. Names may appear differently on PAN and GST records. Addresses may not match across documents. And most small businesses still upload scanned or photographed copies, often unclear or incomplete.

The complexity of documents and data makes legacy verification methods slow and error-prone. A team may spend hours matching details between portals and still miss subtle inconsistencies that could flag a potential risk.

Merchant Onboarding Bottlenecks In India

Merchant Onboarding in India often has high TATs owing to a plethora of Bottlenecks existing in the system.

  • Payment aggregators must validate merchants to prevent fraud, transaction laundering, or fake accounts.
  • Marketplaces and logistics platforms verify sellers, warehouses, and partner outlets to ensure legitimacy and prevent counterfeit sales.
  • Food delivery and hospitality platforms need to check FSSAI licences and hygiene credentials before onboarding outlets.
  • Fintech lenders verify business ownership and financial health before approving working capital loans.

Each of these processes is driven by regulation, but they all depend on how quickly and accurately a merchant can be verified. When onboarding is slow, businesses lose revenue. When it’s careless, they risk penalties or reputational damage.

How Can AI Eliminate Bottlenecks From Merchant Onboarding?

Businesses now deal with fragmented data sources, varied documentation, and tightening regulatory requirements. The result? Bottlenecks in verification, long turnaround times, and inconsistent risk assessments.

This is where Artificial Intelligence (AI) comes in, as a tool that brings speed, context, and consistency to onboarding. AI transforms a process once defined by manual intervention into an intelligent verification ecosystem, capable of reading, interpreting, and acting on data in real time.

Automating Verification with Document Intelligence

One of the biggest delays in onboarding happens when merchants upload incomplete or unclear documents. AI-powered document intelligence platforms simplify this by automatically classifying and extracting information from various formats — whether it’s a PAN card, GST certificate, Udyam registration, or cancelled cheque.

Using OCR (Optical Character Recognition) and Computer Vision, these systems identify document types, extract entity names, registration numbers, and dates, and validate them instantly via API connections to government registries.

Beyond automation, AI brings authenticity checks — detecting forged text, mismatched font layers, or tampered seals. For industries such as payments, lending, and food delivery, this means faster merchant activation with reduced manual dependency.

Connecting Fragmented Data through Entity Resolution

In India, a merchant’s identity is distributed across multiple databases — MCA, GSTN, PAN, Udyam, and banking systems. AI-driven entity resolution models solve this by matching and normalising information even when spellings, abbreviations, or formatting differ.

For example, “X.Y. Traders Pvt Ltd” and “X Y Traders Private Limited” can be recognised as the same entity.
This helps platforms create a unified merchant profile, eliminate duplicates, and link ownership data accurately — a critical step in KYB (Know Your Business) and AML (Anti-Money Laundering) compliance.

Enhancing Risk and Compliance with Predictive Intelligence

AI doesn’t just verify what a merchant submits — it learns from patterns over time.
By analysing historical onboarding and transaction data, AI models assign risk scores based on factors like business category, location, transaction behaviour, and previous disputes.

These predictive intelligence models help prioritise reviews:

  • Low-risk merchants can be auto-approved within minutes.
  • High-risk merchants trigger enhanced due diligence (EDD) or AML screening.

This approach — known as risk-based onboarding — is aligned with regulatory expectations under the RBI’s KYC Master Directions and FIU-IND’s AML framework.

Detecting Network Fraud with Graph Analytics

Merchant fraud rarely occurs in isolation. AI-powered graph analytics uncover hidden links between merchants, such as shared directors, identical bank accounts, or common IP addresses.

This is especially relevant for payment aggregators and lending platforms, where fraudsters often operate multiple shell entities to reroute funds. By mapping relational data across systems, AI enables compliance teams to detect suspicious networks before transactions occur.

Streamlining eKYC and Liveness Checks

For sectors like digital lending, banking, and insurance, verifying the person behind the business is as important as verifying the business itself. AI simplifies this through facial recognition and liveness detection, ensuring the applicant is real, present, and matches their ID document.

These capabilities support video-based KYC (V-CIP) and remote verification. It allows businesses to conduct end-to-end digital onboarding while maintaining RBI-grade compliance.

Improving Inclusivity with Vernacular and Conversational Agentic AI

Small merchants often struggle with digital forms and English-language interfaces.
AI bridges this gap through multilingual conversational onboarding — guiding users in regional languages like Hindi, Tamil, and Bengali via voice or chat.

It explains document requirements, sends automated reminders, and clarifies verification statuses, dramatically reducing drop-offs and improving adoption among MSMEs and rural merchants.

Talk to sales - AuthBridge

Industry-Wide Use Cases Of AI In Merchant Onboarding

Artificial Intelligence is changing the language of trust in Indian commerce. Whether it’s a fintech approving a merchant for UPI transactions, a food aggregator listing restaurants, or a manufacturing giant validating distributors, AI is bringing scale, consistency, and context to what used to be manual, error-prone verification. Below is how AI is powering merchant onboarding across key industries — and why these use cases are now becoming business essentials rather than experiments.

1. Banking, Payments, and Fintech

For regulated entities, merchant onboarding is no longer a support process — it’s a compliance boundary. Under the RBI’s Payment Aggregator and Payment Gateway Guidelines, each merchant must go through full KYB (Know Your Business) checks, AML screening, and ongoing risk monitoring. AI systems automate this by:
  • Pulling entity data directly from MCA21, GSTN, and PAN APIs to confirm legal existence and beneficial ownership. 
  • Running real-time AML and sanction-list screening against OFAC, UNSC, and domestic watchlists. 
  • Using graph analytics to detect transactional collusion or merchant stacking (multiple accounts linked to one beneficiary). 
  • Generating risk-tiering models that help compliance teams decide which merchants require Enhanced Due Diligence (EDD). 

2. Insurance and Wealth Distribution

IRDAI-regulated insurers and AMFI-licensed mutual-fund distributors must verify agents and PoSPs before activation. AI assists by automating document validation, certification checks, and background screening through API-linked databases. Facial-liveness detection and OCR ensure that only authorised personnel are onboarded, preventing identity substitution and fraud — issues that persist in semi-urban distribution channels.

3. E-Commerce and Marketplace Platforms

In marketplaces, merchant onboarding directly affects brand reputation and customer experience. AI supports seller authentication, address validation, and counterfeit prevention at scale by:
  • Cross-verifying GST, PAN, and bank details through secure API orchestration. 
  • Using image-recognition models to flag duplicate product listings or rebranded counterfeit goods. 
  • Validating geotagged warehouse addresses and performing live store-front verification using AI-based image analysis. 
Large e-commerce players now use AI-driven onboarding to achieve near-real-time seller activation while cutting manual review costs by more than half.

4. FoodTech and HoReCa

Restaurants, cloud kitchens, and other HoReCa (Hotel, Restaurant, Catering) entities must comply with FSSAI licensing and hygiene standards. AI streamlines compliance by:
  • Reading and validating FSSAI certificates with expiry and jurisdiction checks. 
  • Performing video-based KYC for outlet owners and delivery partners using liveness analytics. 
  • Integrating geo-fencing and visual-proof APIs to verify actual kitchen locations. 

5. Logistics, Transportation, and Hyperlocal Delivery

Fleet operators, drivers, and warehouse partners make up the merchant base for logistics networks. AI automates:
  • RC, DL, and permit validation through transport-department APIs. 
  • Facial recognition to prevent duplicate driver profiles. 
  • Geo-spatial verification of pickup and delivery points to confirm operational zones. 
  • Real-time exception alerts when vehicle IDs or driver credentials are reused across accounts. 
This has become crucial for third-party logistics, where safety, insurance, and service-level compliance depend on verified participants.

6. Manufacturing, FMCG, and B2B Distribution

Manufacturers and FMCG brands manage vast supplier and dealer networks spread across states. AI-driven onboarding ensures that every distributor or wholesaler meets both compliance and creditworthiness standards. Capabilities include:
  • Multi-parameter verification (GST, PAN, Udyam, and bank account validation) via API integration. 
  • Financial risk analytics using historical invoice data and GST return analysis. 
  • Automated contract validation with digital signatures and timestamped e-mandates. 
  • Predictive supplier-reliability scoring, which flags high-risk or dormant partners before order allocation. 

7. Healthcare, Pharma, and Diagnostics

In healthcare, vendor verification is tied directly to patient safety. AI verifies drug-licence authenticity, CDSCO registration, and supplier credentials through digital document recognition and registry APIs. It also runs continuous compliance checks on distributors and third-party logistics providers involved in cold-chain operations, preventing counterfeit medicine circulation and unauthorised procurement.

8. Telecom, Utilities, and Energy

Telecom operators and renewable-energy developers manage thousands of field partners, retailers, and landowners. AI helps by:
  • Performing land-record verification using OCR and satellite-map overlays for solar or wind-farm projects. 
  • Conducting channel-partner KYB for prepaid and SIM-selling outlets. 
  • Analysing transactional anomalies among distributors through behavioural AI models. 
These checks prevent fraudulent lease claims and ensure that only verified contractors gain project access — reducing legal disputes during commissioning.

9. Retail, Franchise, and Quick Commerce

AI simplifies partner authentication across franchise networks by validating business credentials, contracts, and banking details before activation. It also uses behavioural analytics to monitor abnormal refund volumes or discount abuse among stores — supporting brand-integrity programmes and ensuring compliance with internal SLAs.

10. Education, Training, and EdTech

EdTech firms and private training institutions frequently onboard tutors, content creators, and partner centres. AI confirms academic credentials, identity proofs, and bank accounts, while facial verification ensures that live sessions are conducted by verified instructors, addressing the industry’s ongoing challenge with impersonation and ghost-tutoring.

11. Real Estate and Infrastructure

Real Estate and Infrastructure contractors rely on multiple subcontractors and material vendors. AI accelerates due diligence by:
  • Extracting and validating company incorporation and GST details for every vendor. 
  • Running land-ownership and encumbrance checks to verify titles. 
  • Using drone-image AI validation to confirm on-ground project progress before payments. 
Such AI-enabled transparency reduces project-level fraud and strengthens investor confidence in infrastructure ventures.

12. Government and Public Procurement

Public-sector departments and PSUs onboard vendors through platforms such as GeM. AI makes this ecosystem cleaner by:
  • Detecting duplicate or proxy vendor registrations. 
  • Validating MSME certificates and tax-filing history. 
  • Generate digital audit trails for each supplier evaluation. 
This ensures greater accountability and supports the government’s push for paperless, corruption-free procurement.

The Broader Payoff Across Sectors

Across these diverse verticals, the use of AI in merchant onboarding delivers three fundamental outcomes:
OutcomeWhat It Means for Businesses
Operational EfficiencyFaster onboarding cycles, lower manual effort, and integrated data pipelines via API orchestration.
Regulatory AssuranceAutomated KYC/KYB, AML, and audit-trail generation that withstands regulatory scrutiny.
Trust and InclusionA unified, multilingual onboarding experience that brings micro-merchants and semi-formal entities into compliant digital ecosystems.

Why Choose AuthBridge’s AI-Powered Merchant Onboarding Solution?

Across industries, the need for fast, compliant, and trustworthy merchant onboarding has never been this high. Yet, most businesses still struggle with manual document collection, disjointed workflows, and compliance risks. This is where AuthBridge steps in — not just as a verification provider, but as a partner helping Indian enterprises build trusted merchant ecosystems at scale. With over 18 years of experience in identity verification and background screening, AuthBridge has been instrumental in digitising onboarding journeys for leading banks, fintechs, and consumer platforms. Its AI-powered onboarding infrastructure is built specifically for the Indian market — combining automation, compliance, and inclusion into one cohesive system.

A Unified Platform Built for Indian Enterprises

AuthBridge’s Merchant Onboarding Solution simplifies every stage of the onboarding journey — from registration to verification and activation — through one seamless workflow. The platform integrates automation, advanced data intelligence, and an extensive verification network to ensure speed, accuracy, and compliance. Key features include:

1. Multi-Channel Merchant Registration

Merchants can be onboarded through email, SMS, or WhatsApp invitations, with options for both bulk upload and individual registration. This helps large enterprises reach diverse merchant bases efficiently — from metro distributors to Tier-3 traders.

2. Configurable, Industry-Specific Workflows

Every business has its own regulatory and operational requirements. AuthBridge allows clients to customise onboarding flows based on their needs — whether it’s collecting GSTIN, PAN, Udyam, FSSAI, or Shop & Establishment details — all through digital forms optimised for web and mobile.

3. Real-Time Verification and Risk Assessment

At the heart of the platform lies AuthBridge’s proprietary verification engine, powered by India’s largest commercial database of over 1 billion public records. It validates identities and business documents instantly through government APIs and authentic data sources, significantly reducing fraud and duplication risks.

4. AI-Powered Document Intelligence

AI and OCR-based document reading extract key details from proofs like registration certificates, cancelled cheques, and bank documents, flagging incomplete or tampered entries. This reduces manual review time and improves onboarding accuracy by several folds.

5. Compliance and Legal Assurance

Built-in AML, sanction-list, and adverse media screening ensure that every merchant meets the necessary regulatory and brand-safety standards. The platform maintains complete audit trails, helping businesses stay compliant with RBI and FIU-IND reporting norms.

6. Seamless Integration with Enterprise Systems

AuthBridge integrates effortlessly with existing enterprise tools such as SAP, Tally, Oracle, and Zoho, ensuring verified data flows directly into internal systems — eliminating silos and manual reconciliation.

7. Multilingual and Mobile-First Design

Recognising India’s linguistic diversity, the onboarding journeys are available in multiple regional languages, allowing merchants across the country to onboard easily — even with limited English proficiency.

8. Continuous Monitoring and Post-Onboarding Checks

Beyond initial verification, AuthBridge enables businesses to re-verify merchants periodically — checking for deregistered GST numbers, expired licences, or risk flags. This ongoing intelligence ensures that compliance isn’t a one-time exercise but a continuous assurance layer.

Impact Of AuthBridge’s Merchant Onboarding Solution

Enterprises that have adopted AuthBridge’s merchant onboarding platform report measurable improvements:
  • Up to 70% faster onboarding turnaround time 
  • 50% lower operational costs through automation and API integrations 
  • 25% higher merchant engagement via digital, mobile-first experiences 
These outcomes demonstrate how automation, when combined with deep domain expertise, can create meaningful value for both businesses and their merchant partners.

Conclusion

As India accelerates toward a $10-trillion digital economy, onboarding verified merchants quickly and compliantly will define how fast industries can scale. AuthBridge’s Merchant Onboarding Solution is built precisely for that challenge — combining trust, technology, and compliance into one intelligent platform. By helping enterprises build merchant networks rooted in authenticity, transparency, and speed, AuthBridge is shaping the backbone of India’s trusted digital commerce infrastructure — where every verified merchant becomes a catalyst for growth.
Driver Onboarding End to End

Why Getting Driver Onboarding Right Is Essential For Your Business

India’s ride-hailing, last-mile delivery, and quick commerce sectors are growing rapidly. The drivers and delivery partners are at the heart of this growth, the faces your customers interact with daily. But rapid expansion comes with a tough challenge: onboarding these partners quickly without compromising safety, compliance, or authenticity.

However, some pressing issues are even more concerning. According to government data, nearly 30% of driving licences in India are fake or fraudulent. This alarming figure highlights a widespread problem that directly impacts the safety and reliability of these platforms and sectors.

To operate legally and safely, platforms must verify key documents such as:

Indian DL Frauds

Failing to verify these documents thoroughly risks platforms to regulatory fines under the Motor Vehicles Act, potential lawsuits, and damage to brand reputation.

Beyond legal risks, poor onboarding opens the door to fraud, safety hazards, and operational inefficiencies. Fake or forged licences, cloned vehicle papers, and GPS spoofing schemes have become common, costing platforms millions annually in losses and customer trust.

An inefficient onboarding process also delays driver activation, causing unmet demand and increased cancellations, directly hitting revenue and customer experience.

Given these challenges, a fast, rigorous, and technology-driven onboarding solution that verifies both driver credentials and vehicle documents in real time is essential. Such systems reduce fraud, ensure regulatory compliance, and enable platforms to scale confidently in India’s highly competitive market.

Why Verifying Drivers/Riders Is Essential?

A significant portion of drivers and delivery agents are third-party or gig workers, often operating through aggregators or multiple platforms. This decentralised model poses unique challenges for verification:

1. Complexity of Multi-Platform and Gig Worker Verification

Third-party drivers frequently work across multiple platforms or switch jobs rapidly, making it hard to maintain accurate, up-to-date verification records. Without a centralised verification system, platforms risk onboarding individuals with questionable employment histories or fraudulent documents repeatedly.

2. Higher Fraud Risk with Third-Party Workers

Because third-party workers may have less direct accountability, the incidence of forged documents, fake identities, or misuse of credentials is higher. Fraudulent drivers can exploit gaps in verification, causing financial loss and safety risks.

3. Regulatory Compliance Complexity

Platforms are responsible for ensuring compliance even when onboarding third-party drivers. This requires more stringent verification processes and frequent re-validation to meet evolving legal standards under the Motor Vehicles Act and gig worker protections.

4. Operational Efficiency and Customer Trust

Proper third-party onboarding reduces operational friction caused by driver churn and cancellations. It also enhances rider and customer confidence, knowing that all drivers, regardless of employment status, meet rigorous verification standards.

The Brand And Customer Loyalty Cost Of Poor Driver Verification

Weak driver onboarding and verification have direct, measurable consequences on a business’s viability, compliance, and growth.

1. Substantial Financial Leakage from Fraud

Nearly 30% of driving licences in India are fraudulent. This translates into millions lost through fake trips, inflated deliveries, and false claims, impacting profitability by an estimated 10-15% annually for many platforms. Fraudulent drivers increase chargebacks, penalties from payment processors, and operational overhead in dispute resolution.

2. Regulatory Risks That Can Halt Operations

Failure to verify drivers and vehicles in line with the Motor Vehicles Act and local transport regulations risks heavy fines, legal sanctions, and license suspensions. Regulatory crackdowns are increasing, with several Indian states conducting audits and blacklisting non-compliant platforms. This creates operational uncertainty, disrupts market presence, and increases compliance costs.

3. Erosion of Customer Trust and Brand Equity

Safety incidents linked to unverified drivers or unfit vehicles lead to negative media coverage and social media backlash, a reputation risk that’s hard to recover from. In highly competitive markets like ride-hailing platforms and logistics, customers/businesses quickly switch to competitors promising safer, verified services. Retaining and growing customer bases requires demonstrable, transparent verification standards.

4. Operational Inefficiencies and Capacity Constraints

Slow, manual, or error-prone onboarding delays driver activation, leading to service gaps and unmet demand during peak periods. This results in higher cancellation rates, longer wait times, and diminished customer satisfaction. Platforms incur extra costs managing onboarding backlogs and rework on verification errors.

Alongside verifying identity and vehicle documents, discrepancies in education and employment backgrounds among drivers and delivery partners add another layer of risk. Data from our annual trend report shows education-related discrepancies at 3.7%, with forged certificates increasingly common, while employment verification reveals about 1.7% discrepancies due to falsified records or workers juggling multiple platforms.

What Makes An Effective Driver Onboarding Solution?

The difference between a good and a great driver onboarding solution boils down to three things: accuracy, speed, and trust. Today, companies need onboarding systems that don’t just verify documents, but do it quickly and flawlessly, so they can grow without risking compliance or reputation.

A top onboarding solution combines deep local knowledge with cutting-edge technology to ensure every driver and vehicle is thoroughly vetted, onboarding times are minimal, and fraud is caught before it impacts business.

1. Comprehensive Verification of All Critical Documents

Verifying the authenticity and validity of essential documents like the Driving Licence, Vehicle RC, Insurance, PUC, and Fitness Certificate can’t be ignored. The system must cross-check these against government and proprietary databases to detect forged, expired, or manipulated documents immediately.

2. Rapid Turnaround Times (TAT) Without Sacrificing Quality

Effective solutions deliver verifications within hours, enabling platforms to activate drivers quickly and meet customer needs without delay, all while maintaining high verification standards.

3. AI-Driven Fraud Detection Tailored to Indian Market Realities

Fraud tactics evolve constantly. Solutions must deploy AI algorithms trained on local data to identify fake identities, duplicate profiles, GPS spoofing, and subtle document manipulations that human checks might miss.

4. Real-Time Integration with Authoritative Data Sources

Connecting directly with government databases and trusted third-party sources allows instant validation of documents and data, reducing manual errors and ensuring full regulatory compliance.

5. Expert Human Oversight for Complex Cases

Automation can’t catch everything. Skilled verification professionals handle discrepancies, flagged cases, and edge situations, guaranteeing decisions are accurate, compliant, and fair.

6. Full Compliance and Audit Readiness

The onboarding process should generate detailed audit trails and compliance reports tailored for Indian regulations, simplifying internal reviews and facilitating smooth government audits.

7. Scalable and Flexible Infrastructure Supporting Diverse Regional Needs

India’s varied documentation standards and languages require a system that scales seamlessly across regions and volumes without compromising quality or turnaround time.

AuthBridge’s Indigenous, Scalable & End-to-End Driver Onboarding Solution

AuthBridge’s driver onboarding solution leverages its proprietary Vault database, one of the largest in India, combined with real-time government integrations and AI-powered analytics.

Driver Onboarding Info 2

This combination ensures unparalleled accuracy and compliance tailored for ride-hailing, logistics, and supply chain platforms.

1. Driving Licence Verification Via Government Database

Validates licences against the mParivahan/Sarathi database, detecting forged, expired, or fake licences. This ensures drivers are legally authorised to operate specific vehicle categories, complying with the Motor Vehicles Act.

2. Vehicle Registration Certificate (RC) Verification via Vahan Database

Cross-verifies vehicle details from the Vahan database and Vault, confirming ownership, registration status, vehicle class, and fitness. This prevents the onboarding of cloned or fake vehicles or ones with hefty unpaid challans or impounded.

3. Stolen Vehicle and Criminal Record Checks Through Vault and NCRB Data

Checks vehicles against National Crime Records Bureau (NCRB) listings and other proprietary databases for stolen or blacklisted vehicles. This mitigates the risk of unknowingly onboarding illegal or criminally flagged vehicles.

4. Compliance with Motor Vehicles Act and Related Regulations

Enforces mandatory document validations, including Insurance Certificates, Pollution Under Control (PUC), and Fitness Certificates, ensuring compliance with central and state laws.

5. AI-Driven Fraud Detection and Multi-Level Quality Checks

Uses proprietary AI algorithms tailored to Indian fraud patterns to detect synthetic identities, document tampering, duplicate accounts, and GPS spoofing. Multi-level quality checks reduce false positives and improve accuracy.

6. Dedicated 24×7 Operations Team and Surge Absorption at Zero Additional Cost

Provides round-the-clock operations with dedicated resources trained on client-specific SOPs, ensuring a P90 TAT under 3 hours (in specific cases) even during volume surges. Absorbs unexpected spikes or dips in onboarding volumes without extra cost, ensuring smooth scalability.

How AuthBridge Helped A Leading Ride-Hailing Platform

  • Delivered over 1 crore verifications for a leading ride-hailing platform with 90+ lakh cases closed within the agreed TAT.
  • Maintained 99.99% data coverage with multiple layers of quality control.
  • Achieved 14% case conversion from discrepant to clear, significantly reducing false positives and operational overhead.
Driver Onboarding Info 1

AuthBridge provides a scalable, integrated verification platform capable of handling the complexity of third-party onboarding. By leveraging AI, deep data integrations, and a strong operational team, AuthBridge ensures that third-party workers are vetted with the same rigour and speed as white-collar workers.

Conclusion

In a market where fraud, compliance, and operational speed define success, AuthBridge turns driver onboarding from a complex challenge into your platform’s strongest asset, delivering unmatched accuracy, lightning-fast verifications, and scalable support to keep your business safe, trusted, and ready to grow across India.

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The most noteworthy aspects of our collaboration has been the ability to seamlessly onboard partners from all corners of India, for which our TAT has been reduced from multiple weeks to a few hours now.

- Mr. Satyasiva Sundar Ruutray
Vice President, F&A Commercial,
Greenlam

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