An AI PRD generator for Indian product teams must handle constraints that global tools ignore: multilingual user bases requiring localization specs, RBI and SEBI regulatory requirements for fintech features, India Stack integration patterns (UPI, Aadhaar, DigiLocker), GST compliance in e-commerce PRDs, and cost structures that reflect Indian SaaS market realities. This guide covers how Bengaluru-based and pan-India product teams are adapting AI PRD workflows to these specific requirements.
The India-specific context that PRD templates miss
Indian product teams face a set of constraints that standard PRD templates — almost all of which are written with US or European products in mind — do not address. These constraints are not edge cases; they are the daily reality of building for 1.4 billion users across 28 states with 22 official languages, significant regulatory complexity, and infrastructure characteristics that differ from Western assumptions.
Multilingual user bases
A B2C product in India that serves only English-speaking users is excluding the majority of potential users. Hindi, Tamil, Telugu, Kannada, Marathi, Bengali, and 15 other languages are used daily by hundreds of millions of people. A PRD for a feature that will be used by multilingual audiences must include a localization section that specifies: which languages are supported in v1, how strings are managed (translation infrastructure), how right-to-left rendering is handled if applicable (Urdu, Arabic), and how language preference is detected and stored per user.
India Stack integrations
India's digital public infrastructure — collectively called India Stack — has no equivalent in Western markets. A PRD for a product that handles identity, payments, or document verification in India may need to specify integrations with:
- UPI (Unified Payments Interface): The payment rail for 10 billion+ monthly transactions. PRDs for payment features must specify VPA (Virtual Payment Address) format, UPI intent vs. collect flows, and handling of UPI PIN failures vs. network failures.
- Aadhaar: India's biometric identity system. Used for KYC verification. PRDs for KYC features must address AUA/KUA licensing requirements and the RBI's prescribed Aadhaar-based KYC workflow.
- DigiLocker: Government document storage. Used for verification of driving licenses, voter IDs, and academic certificates. PRDs for verification features must specify the DigiLocker API integration flow and fallback when documents are not in DigiLocker.
- Account Aggregator framework: For fintech products using financial data sharing. RBI-regulated framework for consent-based financial data access.
Regulatory requirements for Indian fintech
Indian fintech products operate under RBI guidelines that have no direct equivalent in most other markets. A PRD for a fintech feature must address:
- RBI KYC Master Direction: Video KYC requirements, re-KYC timelines, and customer risk categorization.
- NPCI guidelines: For UPI, IMPS, and NACH integrations — transaction limits, dispute resolution timelines, and mandatory fields.
- Data localization: RBI's Payment System Data Storage Directive requires that all payment data be stored exclusively in India. Cloud architecture decisions in the PRD must address this.
- SEBI regulations: For investment products — mandatory disclosures, suitability assessments, and transaction audit requirements.
GST compliance in e-commerce
India's GST regime has 5 slabs (0%, 5%, 12%, 18%, 28%) with HSN codes determining which slab applies to each product category. An e-commerce PRD for an Indian market must include: HSN code logic for the product catalog, GST invoice generation requirements (mandatory fields under GST rules), e-way bill requirements for inter-state shipments above ₹50,000, and GSTN reconciliation for input tax credit. None of these appear in a US-focused e-commerce PRD template.
How Bengaluru product teams are using AI PRD generators
The Bengaluru product community — anchored by iSPIRT, the Product Folks community, and a dense concentration of SaaS companies in the ORR corridor — has been early to adopt AI-assisted PRD workflows. The adoption pattern differs from US teams in three ways:
Higher value from time savings. Indian PM salaries are lower in absolute terms but the time cost of PRD writing is the same. A ₹20L/year PM spending 40% of their time on documentation has a higher relative cost burden than their US counterpart. The ROI of reducing PRD time from 4 hours to 30 minutes is proportionally more significant.
Greater need for completeness enforcement. Indian product teams building for large user bases — Jio, PhonePe, Swiggy, Zepto scale — face higher consequences for underdocumented edge cases because the edge cases occur at population scale. A payment failure edge case that affects 0.1% of transactions is 1 million transactions per day at PhonePe scale. Edge case documentation is not optional at this scale.
Localization as a first-class requirement. Teams building for multilingual India use AI PRD generators to automatically generate localization sections — supported language list, string management approach, RTL handling — that US-focused templates don't include.
A PRD template addition for Indian product teams
Add this section to every PRD for products with Indian users:
India Stack integrations (if applicable)
UPI: [VPA format, intent vs. collect flow, transaction limit compliance, failure handling]
Aadhaar: [KYC flow type — OTP / biometric / offline XML, AUA/KUA licensing status]
DigiLocker: [Document types accessed, fallback when document not in DigiLocker]
Regulatory requirements
RBI: [Applicable guidelines — KYC, payment storage, PPI regulations]
NPCI: [UPI/IMPS/NACH compliance requirements]
SEBI: [Applicable if investment product — disclosure, suitability, audit requirements]
Data localization: [Payment data India-only storage requirement — cloud region specification]
Localization
Languages supported in v1: [List]
Translation infrastructure: [i18n library, translation workflow, string freeze date]
RTL support: [Required / Not required]
Language detection: [User preference stored in User.preferredLanguage / browser language / device language]
Using Scriptonia for India-specific PRDs
Scriptonia handles India-specific PRDs by including regulatory context in the input. When generating a PRD for a fintech feature, include "This feature must comply with RBI KYC Master Direction" in your input. When generating a PRD for an e-commerce feature, include "This product requires GST compliance including HSN codes and e-invoice generation." The generator will include the relevant regulatory edge cases in the Edge Cases and Risks sections.
The localization section requires a one-line addition to the input: "This product serves users in Hindi, Tamil, and Telugu in addition to English." The generated PRD will include a Localization section with language specification, string management guidance, and RTL handling notes.
For teams in Bengaluru and other Indian tech hubs, Scriptonia is accessible at the standard international pricing — no India-specific pricing tier required. The tool generates PRDs that are compliant with Indian regulatory requirements when the regulatory context is included in the input.