For Small Finance Banks (SFBs) in India, effective customer engagement across diverse, vernacular-speaking markets is a core strategic challenge. Traditional call centres present significant operational hurdles, including high fixed costs, agent attrition, inconsistent service quality, and difficulties in scaling during peak periods like loan collection cycles. Conversational Voice AI offers a compelling solution, but its procurement demands a rigorous evaluation framework that goes far beyond feature-for-feature comparisons.
This guide provides a procurement-centric framework for SFB decision-makers—including IT, operations, risk, and compliance teams—evaluating Awaaz AI. It outlines the key due diligence steps, from building a business case and defining pilot KPIs to deep-diving into regulatory compliance, security posture, and Total Cost of Ownership (TCO).
Step 1: Building the Business Case & Defining Pilot KPIs
Before engaging any vendor, a cross-functional team must establish a clear business case and measurable objectives. The procurement process should be driven by strategic goals, not just technological novelty. Involving stakeholders from IT, Operations, Risk, Compliance, and business units from the outset is critical for success.
Key questions to address internally:
- Primary Use Case: Which process offers the highest initial ROI? Common starting points for SFBs include automating EMI payment reminders, KYC status follow-ups, lead qualification for loan products, or inbound balance inquiries.
- Success Metrics (KPIs): Define quantifiable goals for a pilot program. Vague objectives lead to inconclusive pilots.
- Operational Efficiency: Target a reduction in cost-per-contact, a decrease in Average Handle Time (AHT) for specific query types, or an increase in calls handled per day without additional headcount.
- Business Outcomes: Aim for an uplift in successful payment collections, improved lead conversion rates, or a measurable increase in customer engagement on new product offers.
- Customer Experience (CX): Track metrics like call containment rate, reduction in customer wait times, and improvements in Customer Satisfaction (CSAT) or Net Promoter Score (NPS).
- Stakeholder Approvals: Outline the internal approval workflow. Who needs to sign off on the technical, financial, and compliance aspects of the project?
A well-defined business case with clear KPIs transforms the procurement discussion from a cost-centre decision to a strategic investment in growth and efficiency.
Step 2: Vendor Evaluation & RFP Checklist
A comprehensive Request for Proposal (RFP) is essential for comparing vendors and ensuring they meet the specific needs of a regulated financial institution. Your evaluation of Awaaz AI should be structured around these core pillars:
A. Technical and Platform Capabilities
- Voice & Language Model: What is the demonstrated accuracy for your specific vernacular languages and dialects (e.g., Hinglish, Kanglish)? How does the platform handle code-switching?
- Telephony Infrastructure: Does the vendor operate their own telephony stack? An in-house stack, like Awaaz AI’s, can significantly reduce latency, leading to more natural, human-like conversations and higher call completion rates.
- Integration: Assess the availability of pre-built APIs for your Core Banking System (CBS), Loan Management System (LMS), and CRM. How robust is the API documentation and developer support?
- Scalability: Can the vendor provide evidence of handling high-volume call campaigns (e.g., 1M+ calls/day)? Request performance benchmarks and case studies from clients with similar scale.
B. Security & Compliance Posture
- Certifications: ISO 27001 is a baseline. Request further security attestations like SOC 2 Type II reports and recent VAPT (Vulnerability Assessment and Penetration Testing) summaries.
- RBI Compliance: How does the solution align with the RBI’s Master Direction on Outsourcing of Financial Services? The vendor must provide clauses for data confidentiality, right to audit, and contingency plans.
- Data Residency & DPDP Act: Confirm that all customer data (call recordings, transcripts, PII) will be processed and stored exclusively within India. The vendor must be willing to sign a Data Processing Addendum (DPA) that aligns with the Digital Personal Data Protection (DPDP) Act.
- TRAI Regulations: How does the platform manage consent and DND (Do Not Disturb) list scrubbing in accordance with TRAI’s TCCCPR framework for outbound communication?
C. Operational & Support Framework
- Service Level Agreements (SLAs): The contract must include clear SLAs for platform uptime (e.g., 99.9%), API response times, and support ticket resolution times.
- Disaster Recovery (DR) & Business Continuity (BCP): Review the vendor’s DR/BCP plans. What are the stated Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO)?
- Support Model: What level of support is provided? Is there a dedicated account manager? What are the hours for technical support?
Step 3: Technical Due Diligence & Integration Pathway
For the CTO and IT teams, this phase involves verifying the vendor’s claims.
- API Deep-Dive: Your technical team should review the API documentation for clarity, functionality, and security protocols. How are authentication and data encryption handled?
- Data Handling: How will your bank’s data be used for AI model training? Ensure there are strict data anonymization protocols in place and that your proprietary data is not used to train models for other clients.
- Integration with Core Systems: A seamless connection to your CBS and LMS is non-negotiable. This allows the AI agent to provide real-time, personalized information (e.g., “Your EMI of ₹5,230 is due in 3 days”) and update records automatically after a call, dramatically reducing manual work. This real-time data flow is what elevates a voice bot from a simple IVR to an intelligent virtual agent.
Step 4: Analysing Total Cost of Ownership (TCO) and Commercials
Look beyond the advertised per-minute rate to understand the full financial impact.
- Pricing Model: Awaaz AI’s pay-per-use model is advantageous as it converts a fixed operational cost (call centre salaries) into a variable one that scales with usage.
- One-Time Costs: Are there any setup fees, integration charges, or professional services fees for designing the initial conversation flows?
- Recurring Costs: Clarify if there are any platform subscription fees, minimum monthly commitments, or costs associated with dedicated support tiers.
- Calculating ROI: Model the TCO against the projected savings and business benefits identified in Step 1. For instance, if the AI handles 100,000 EMI reminder calls per month, calculate the cost versus doing it manually and factor in the expected increase in successful collections. Automation can reduce operational costs by up to 30%.
Step 5: Governance, Change Management, and Rollout
Procurement is not complete at contract signing. A successful deployment requires a plan for adoption and ongoing management.
- Change Management: Prepare your internal teams for the new workflow. How will escalations from the AI agent to a human agent be managed? Train staff on how to use the new analytics dashboards to gain insights from conversations.
- Governance: Establish a clear process for updating AI conversation scripts to reflect changes in products, services, or regulations.
- Phased Rollout: Begin with a controlled pilot for the use case defined in Step 1. Use the pre-defined KPIs to measure success before planning a wider, full-scale launch. The analytics and transcription dashboards provided by Awaaz AI are crucial for this “launch and learn” phase, turning millions of call minutes into structured data for continuous improvement.
Why Awaaz AI is Architected for Indian SFBs
Understanding the procurement process also means recognizing a vendor’s specific strengths relative to the market.
Designed for Vernacular India
In a diverse country like India, multilingual capability is essential. Awaaz AI’s support for 8+ languages and its specialised ability to handle code-switching are critical for connecting with the SFB customer base. Campaigns using vernacular voice have demonstrated engagement rates around 82%.
Bank-Grade Security and Compliance
For any bank, compliance and security are paramount. Awaaz AI’s commitment to ISO 27001 certification, end-to-end encryption, data residency in India, and alignment with RBI & DPDP guidelines are designed to meet the rigorous standards of the financial sector. See our Privacy Policy for details.
Scalability and Reliability
The ability to handle massive call volumes during peak cycles without performance degradation is vital. A platform like Awaaz AI, built on a proprietary telephony stack, provides the reliability needed for mission-critical banking operations, ensuring consistent service 24/7. This consistency is key to building customer trust, with studies showing 53% of retail banking organizations reported an NPS improvement of more than three points after implementing voice assistants.
Demonstrable Financial Impact
The ultimate goal of procurement is a positive financial outcome. The cost savings from automation are significant. Juniper Research projected that the operational cost savings from using chatbots in banking will reach $7.3 billion globally by 2023. Awaaz AI’s pay-per-minute model provides a direct and measurable path to achieving this ROI.
By following this structured procurement framework, your small finance bank can confidently evaluate and deploy a Voice AI solution that not only meets stringent technical and regulatory requirements but also delivers a tangible return on investment.
Frequently Asked Questions for SFB Procurement Teams
1. How does Awaaz AI align with RBI’s Master Direction on Outsourcing of Financial Services?
Awaaz AI’s framework is designed for RBI compliance. This includes ensuring data residency in India, providing banks the right to audit security and control processes, maintaining data confidentiality, and establishing clear BCP/DR plans. These terms are incorporated into the service agreement.
2. What is Awaaz AI’s posture on the DPDP Act, 2023?
Awaaz AI is fully committed to DPDP compliance. All customer data is processed and stored within India. We provide a comprehensive Data Processing Addendum (DPA) that outlines our roles and responsibilities as a Data Processor, ensuring your bank remains in full control as the Data Fiduciary.
3. What security attestations can Awaaz AI provide beyond ISO 27001?
In addition to being ISO 27001 certified, we can provide prospective clients under NDA with relevant documentation such as SOC 2 Type II compliance reports and summaries of regular third-party VAPT and application security assessments.
4. What components make up the Total Cost of Ownership (TCO) beyond the per-minute rate?
The TCO includes the per-minute usage charges, a potential one-time setup fee for complex integrations, and any fees for premium support tiers. The goal is a transparent model with no hidden costs, allowing for predictable financial planning.
5. How does Awaaz AI’s in-house telephony stack benefit an SFB?
By controlling the entire voice stack, we minimize dependencies on third-party providers. This results in lower latency for more natural conversations, better call routing and connectivity for higher pickup rates, and end-to-end control over security and reliability.
6. Can we conduct a limited-scope, paid pilot before a full rollout?
Yes. We strongly recommend starting with a pilot program focused on a specific, high-impact use case. This allows you to test the platform and measure performance against the KPIs defined in your business case before committing to a larger-scale deployment.
7. How does Awaaz AI differ from generic, international voice AI platforms?
Awaaz AI is differentiated by its finance-first design for Indian markets. This includes superior handling of Indian vernacular languages and code-switching, pre-built understanding of banking terminology, and a compliance framework tailored to Indian regulations (RBI, DPDP, TRAI).
8. Can Awaaz AI integrate with our existing Core Banking System (CBS)?
Yes. Awaaz AI provides robust APIs designed to integrate seamlessly with various Core Banking Systems, Loan Management Systems, and CRMs. This allows for real-time data exchange, which is essential for personalizing conversations and automating back-end processes. You can request a demo to discuss your specific integration needs.