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How to write an RFP for self service voice bot

Requirements, questions, and evaluation criteria specific to self service voice bot procurement

7 min read

Self-service voice bot procurement demands a rigorous RFP process due to the intricate interplay of AI, telecommunications infrastructure, and customer experience. A well-crafted RFP ensures alignment with business goals and mitigates the risks associated with complex integrations and evolving AI capabilities. This guide provides a framework for creating effective RFPs that address the unique challenges of this rapidly advancing category.

What makes self service voice bot RFPs different

RFPs for self-service voice bots are distinct due to the blend of technical and customer-centric considerations. Unlike simpler software purchases, voice bot projects involve natural language processing, speech recognition, and integration with existing telephony systems. The RFP must address the nuances of AI model performance, data security, and the impact on customer satisfaction.

Furthermore, the rapid evolution of AI necessitates a focus on scalability, adaptability, and long-term vendor support.nnAnother layer of complexity stems from the need to balance automation with human interaction. The RFP should define clear escalation paths for complex issues and ensure seamless handoffs to human agents.

Compliance with industry-specific regulations, such as HIPAA or PCI-DSS, adds another layer of scrutiny to the procurement process.nnFinally, the choice of AI models and the approach to data management require careful consideration. The RFP should probe the vendor's approach to data privacy, model training, and the use of retrieval-augmented generation (RAG) to ensure accuracy and compliance.

  • Define clear use cases and desired outcomes for the voice bot deployment.
  • Assess the vendor's expertise in your specific industry and relevant compliance requirements.
  • Evaluate the platform's integration capabilities with your existing CRM, telephony, and knowledge management systems.
  • Establish metrics for measuring the success of the voice bot implementation, focusing on resolution rates and customer satisfaction.

RFP vs RFI vs RFQ

Here's when to use each document type when procuring self service voice bot software.

RFI

Request for Information

Use early in your search to understand what vendors offer and narrow your list. Gather general capabilities, company background, and high-level pricing ranges.

RFP

Request for Proposal

Use when you know your requirements and want detailed vendor solutions and pricing. This is your main evaluation document for shortlisted vendors.

RFQ

Request for Quote

Use when requirements are fixed and you just need final pricing. Often used after RFP when you're ready to negotiate with finalists.

When procuring self-service voice bots, an RFI is useful for initial exploration of available technologies and vendor capabilities. An RFP is essential for a comprehensive evaluation of specific solutions and their alignment with business requirements, while an RFQ is generally unsuitable due to the complexity and customization involved.

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Technical requirements checklist

Use this checklist when defining your RFP scope.

Functional Requirements

  • Automated call routing and queuing
  • Natural language understanding (NLU) and intent recognition
  • Text-to-speech (TTS) capabilities with customizable voices
  • Integration with knowledge base for accurate responses
  • Real-time analytics and reporting dashboards

Technical Requirements

  • Automatic speech recognition (ASR) with low latency
  • Diarization to distinguish between multiple speakers
  • Support for domain-specific lexicons
  • Secure data storage and transmission
  • API for integration with third-party systems

Integration Requirements

  • CRM integration (Salesforce, HubSpot, etc.)
  • Telephony/PBX integration (Genesys, NICE, Five9, etc.)
  • WFM/WFO tool integration
  • Knowledge management system integration
  • Authentication and authorization protocols

Security and Compliance

  • Data encryption at rest and in transit
  • PII/PHI redaction capabilities
  • Compliance with GDPR, HIPAA, and PCI-DSS
  • Vulnerability scanning and penetration testing
  • Access control and audit logging

Reporting and Analytics

  • Call volume and duration
  • First-call resolution (FCR) rate
  • Containment rate
  • Customer satisfaction (CSAT) scores
  • Sentiment analysis

Questions to include in your RFP

Functional Capabilities

  • Describe your platform's ability to understand and respond to complex, multi-turn conversations.
    Ensures the bot can handle nuanced customer interactions.
  • How does your platform handle ambiguity or unexpected inputs from customers?
    Tests the bot's ability to gracefully manage situations outside its programmed logic.
  • Detail your platform's support for different languages and accents.
    Crucial for serving a diverse customer base.
  • Explain how your platform ensures a seamless handoff to human agents when necessary.
    A smooth transition is essential for maintaining customer satisfaction.

Technical Architecture

  • Describe your platform's architecture, including the AI models used for ASR, NLU, and TTS.
    Understanding the underlying technology helps assess performance and scalability.
  • What are your platform's latency requirements for ASR and TTS?
    Low latency is critical for a natural and responsive user experience.
  • How does your platform handle acoustic variability and background noise?
    Ensures accurate speech recognition in real-world environments.
  • Explain your platform's approach to data security and privacy.
    Safeguarding customer data is paramount.

Integration and APIs

  • Describe your platform's integration capabilities with our existing CRM, telephony, and knowledge management systems.
    Seamless integration is essential for data flow and workflow automation.
  • Provide details on your platform's APIs and SDKs.
    Allows for custom integrations and extensions.
  • How does your platform handle real-time data updates and synchronization?
    Ensures accurate and up-to-date information is available to the bot.
  • What authentication and authorization protocols does your platform support?
    Ensures secure access to sensitive data.

Compliance and Security

  • Describe your platform's compliance with relevant industry regulations (e.g., HIPAA, PCI-DSS, GDPR).
    Ensures adherence to legal and regulatory requirements.
  • What security measures are in place to protect customer data?
    Safeguards sensitive information from unauthorized access.
  • How does your platform handle PII/PHI redaction?
    Protects sensitive data and ensures compliance with privacy regulations.
  • Do you offer "zero storage" defaults for PII/PHI?
    Minimizes the risk of data breaches.

Training and Support

  • Describe your training program for our team to manage and optimize the voice bot.
    Ensures our team can effectively utilize the platform.
  • What ongoing support and maintenance services do you provide?
    Provides access to expertise and ensures continued platform performance.
  • How do you handle model drift and ensure continued accuracy over time?
    Maintains the bot's effectiveness as customer behavior evolves.
  • Who owns the trained model and the intellectual property generated using our company's proprietary data?
    Clarifies ownership rights and data usage.

Pricing and Licensing

  • Provide a detailed breakdown of your pricing model, including all applicable fees.
    Ensures transparency and avoids hidden costs.
  • What are the licensing options available (e.g., per-user, per-call, per-month)?
    Allows us to choose the most cost-effective option.
  • Are there any additional costs for integration, training, or support?
    Identifies potential hidden expenses.
  • What are your payment terms and cancellation policies?
    Clarifies contractual obligations.

Compliance and security requirements

Depending on your industry, you may need to require proof of these certifications and standards.

HIPAA

Required if handling protected health information (phi). If applicable, request a Business Associate Agreement (BAA) and documentation of HIPAA compliance measures.

PCI-DSS

Required if processing or storing payment card data. If applicable, request a copy of their PCI-DSS Attestation of Compliance (AOC) and details on their security controls.

GDPR

Required if processing personal data of eu citizens. If applicable, request information on their GDPR compliance measures, including data processing agreements and data subject rights.

SOC 2 Type II

Required for demonstrating security, availability, processing integrity, confidentiality, and privacy controls. If applicable, request a copy of their SOC 2 Type II report.

CCPA

Required if processing personal data of california residents. If applicable, request information on their CCPA compliance measures, including data processing agreements and consumer rights.

Evaluation criteria

Here is the suggested weighting for self service voice bot RFPs.

Functional Fit How well the solution meets the defined functional requirements.
25%
Technical Capabilities The platform's technical architecture, performance, and scalability.
20%
Integration Capabilities The ease and completeness of integration with existing systems.
15%
Security and Compliance The strength of security measures and compliance with relevant regulations.
15%
Total Cost of Ownership (TCO) The overall cost, including implementation, licensing, and ongoing maintenance.
15%
Vendor Experience and Support The vendor's track record and the quality of their support services.
10%

Some weights were adjusted based on your priorities.

  • Increase weight if complex integrations are required.

Red flags to watch

  • Lack of industry-specific experience

    Vendors without experience in your industry may not understand your specific requirements and challenges.

  • Vague or incomplete security documentation

    Indicates potential security vulnerabilities and compliance risks.

  • High implementation costs

    Suggests a complex and potentially problematic integration process.

  • Limited integration options

    May hinder data flow and workflow automation.

  • "Black box" AI models

    Lack of transparency into the AI models makes it difficult to assess performance and identify potential biases.

Key metrics to request

Ask vendors to provide benchmarks from similar customers.

First-call resolution (FCR) rate

Indicates the bot's ability to resolve customer issues without human intervention.

Containment rate

Measures the percentage of calls handled entirely by the bot.

Average handle time (AHT)

Indicates the efficiency of the bot in resolving customer issues.

Customer satisfaction (CSAT) scores

Measures customer satisfaction with the bot's performance.

Implementation timeline

Helps to assess the speed and efficiency of the vendor's implementation process.