Overview
Yaqeen GenAI QA Monitor is a cloud-native, AI-driven call center quality assurance solution powered by Amazon Bedrock, now enhanced to support Agentic AI workflows. It automates 100% of call reviews, transforming traditional manual QA into an intelligent, scalable system. With advanced capabilities including compliance scoring, sentiment analysis, multi-step conversation evaluation, and intelligent coaching, the platform significantly improves operational efficiency and decision-making across both human and AI-driven interactions. Built to support regulatory standards such as FDCPA, PCI, and HIPAA, Yaqeen GenAI QA Monitor ensures full compliance while adapting easily to the unique needs of your business. It now also supports the evaluation of autonomous agents, providing oversight for agent-based systems powered by frameworks like LangChain, Bedrock Agents, and other orchestration tools. This makes it ideal for organizations implementing LLM-powered assistants, customer-facing agents, or internal automation copilots. By eliminating manual call evaluations, the platform enables your team to focus on strategic, high-value activities. It provides deep insights into agent performance, empathy, tone, compliance, and now agentic behavior and decision flow, allowing for highly targeted coaching and optimization. Seamless integration with CRM, CTI, and ticketing platforms ensures simple deployment, while secure transcript storage via Amazon S3 maintains privacy and data protection standards. Scalable to support millions of interactions per month, Yaqeen GenAI QA Monitor is purpose-built for high-volume environments across industries such as finance, healthcare, collections, and customer service. It reduces operational costs, delivers 100% coverage, lowers compliance risk, and now brings actionable insights into AI-driven workflows making it a future-proof solution that improves both agent performance and autonomous system reliability at scale.
Highlights
- Fully automated call center quality assurance powered by Amazon Bedrock.
- Scalable solution with 100% call coverage and customizable compliance scoring
- Advanced sentiment analysis and intelligent coaching to improve agent performance.
Details
Unlock automation with AI agent solutions

Features and programs
Financing for AWS Marketplace purchases
Quick Launch
Pricing
Dimension | Cost/unit |
---|---|
Basic Call Compliance Analysis | $0.01 |
Advanced Analytics (w/ Sentiment) | $0.02 |
AI-generated Call Summary | $0.015 |
Advanced Analytics (w/ Sentiment) - call per minute | $0.04 |
Basic Call Compliance Analysis - call per minute | $0.02 |
AI-generated Call Summary - call per minute | $0.03 |
Vendor refund policy
We offer pro-rata refunds for verified technical issues on our end causing unusable API responses. Requests must be made within 15 days of billing. No refunds for misuse, customer misconfiguration, or usage beyond contracted terms. Contact: support@yaqeentech.com or 1-800-988-8757. Valid claims are processed within 5 business days as a credit to your AWS account.
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Delivery details
- Amazon Bedrock AgentCore - Preview
API-Based Agents & Tools
API-Based Agents and Tools integrate through standard web protocols. Your applications can make API calls to access agent capabilities and receive responses.
Additional details
Usage instructions
API
Compliance & QA Analytics API — Complete Integration Guide This REST API provides intelligent, Bedrock-powered post-call analytics. It allows clients—including Bedrock Agents, OpenAI functions, and traditional applications—to transcribe calls, evaluate compliance, ask follow-up questions, and generate detailed reports. Although REST APIs are stateless by design, this API supports multi-turn context via a persistent SESSION_ID. API Endpoint POST https://8g6kw1zm02.execute-api.us-east-1.amazonaws.com/prod/invoke Authentication All requests must include a valid API key: x-api-key: YOUR_API_KEY
Request Schema Headers Content-Type: application/json x-api-key: YOUR_API_KEY Body (JSON) { "INPUT_TEXT": "Transcribe the call s3://your-audio-bucket/ReliantFinance-abc123.wav", "SESSION_ID": "Session_123" } Parameters Field Type Required Description INPUT_TEXT string Yes Natural language instruction (e.g., "Transcribe call s3://...") SESSION_ID string Yes Unique identifier to maintain session context (e.g., per call or per user)
Response { "sessionId": "Session_123", "agentResponse": "The transcription for the call with ID 'abc123' has been initiated. You will be notified once it is complete." } Subsequent requests using the same SESSION_ID will preserve conversational memory, enabling multi-turn interaction: Example Follow-Up: { "INPUT_TEXT": "Is the transcription done?", "SESSION_ID": "Session_123" }
{ "sessionId": "Session_123", "agentResponse": "The transcription for call ID 'abc123' is complete." }
Context Management via SESSION_ID Although HTTP is stateless, the Bedrock Agent or OpenAI system maintains state through the SESSION_ID passed in each request. This allows the agent to: • Remember which call was previously transcribed • Respond to follow-up questions intelligently • Generate reports based on prior instructions The SESSION_ID can be a UUID, call ID, or any custom string, and should be reused throughout a single session. Integration with Bedrock Agent / OpenAI Function Calling
- Define a REST Tool (for Bedrock) If using Bedrock Agent with Action Groups, define this API as a REST tool and allow your agent to invoke it with the contract below.
- OpenAI Function Calling Integration OpenAI's function calling can be used to invoke this API as part of a multi-turn assistant by registering this function.
Function Contract (OpenAI / Bedrock Format) { "name": "invoke_call_analysis_api", "description": "Invoke the call analysis API to transcribe, analyze, and generate compliance reports for a call based on natural language instructions.", "parameters": { "type": "object", "properties": { "INPUT_TEXT": { "type": "string", "description": "Natural language instruction to perform, e.g. 'Transcribe the call s3://bucket/call.wav' or 'Compliance report for call ID abc123'." }, "SESSION_ID": { "type": "string", "description": "Session ID used to maintain conversation context across requests." } }, "required": ["INPUT_TEXT", "SESSION_ID"] } }
Use this contract with: • OpenAI GPT function calling • Amazon Bedrock Agents with REST API integrations
Rate Limiting (Default) Limit Type Value Rate 5 requests/second Burst 2 concurrent bursts Daily Quota 10,000 requests If exceeded, the API responds with: { "message": "Too Many Requests" } HTTP Status: 429
Common Error Codes Status Meaning Resolution 400 Missing or invalid INPUT_TEXT Ensure both required parameters are sent 403 Missing or invalid API key Add or correct x-api-key 429 Rate limit exceeded Retry with backoff or upgrade plan 500 Server error Internal error or timeout during request
Summary • Use POST /invoke to analyze calls via natural instructions. • Maintain session continuity using SESSION_ID. • Integrate with OpenAI or Bedrock Agents via the provided function contract. • Supports transcription, compliance scoring, and detailed reporting in natural language
Support
Vendor support
For assistance with Yaqeen GenAI QA Monitor™, our dedicated support team is available 24/7. Email: contact@yaqeentech.com Phone: 1-800-988-8757 Support URL: <www.yaqeentech.com/support > We offer comprehensive support, including troubleshooting, onboarding assistance, and general product queries. Enterprise customers receive SLA-backed support and a dedicated onboarding specialist for seamless implementation.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.