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    Managed Voice AI Agents for Clinic Revenue Cycle on AWS by Dedicatted

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    Sold by: Dedicatted 
    For clinic groups and healthcare software companies whose voice AI agents call payers and patients for eligibility checks, prior authorization renewals and claim follow-up, the revenue cycle work behind healthcare finance and accounting. Dedicatted operates the agents month to month on Amazon Bedrock AgentCore and Amazon Connect: call-outcome monitoring, payer script and phone-tree updates, escalation tuning, an evaluation gate for every change, and monthly quality, latency and cost per call reporting.

    Overview

    Who this is for

    Clinic groups, revenue cycle management companies and healthcare software companies in the United States and Canada running voice agents that call payers and patients, and teams about to put such agents into production. The buyer is the COO, Director of Revenue Cycle or CTO.

    The problem

    Payer phone trees, rules and scripts change every week, models and prompts change underneath the agents, and failed calls fall back to staff without anyone noticing. After go-live nobody owns call quality, escalation accuracy, latency or cost per call, so the agents slowly do less of the work they were built for.

    What we deliver

    Operations onboarding. We inventory call flows and payers, then baseline completion, escalation, response latency and cost per call, and set alarms on the signals that show agents failing.

    Monthly operation. Our engineers review call outcomes, update payer scripts and phone-tree handling, tune escalation to staff, and run every prompt, model or tool change through an evaluation gate before release, with Amazon Bedrock Guardrails and PII redaction kept in place.

    New payers and scripts. New payers, call types or clinic locations are onboarded with their own test calls and acceptance criteria.

    Reporting. A monthly report covers completion and escalation, call quality findings, latency and cost per call, with a quarterly model and prompt review.

    Health information stays in your HIPAA-eligible AWS environment, and any Dedicatted access to it is defined in the private offer. To build new agents, see Front-Desk and Prior Authorization Agents for Clinics by Dedicatted; for the AI platform layer only, see Managed AI Platform Operations on AWS by Dedicatted.

    AWS services integrated

    Amazon Bedrock AgentCore (Runtime, Memory, Identity, Gateway, Observability), Amazon Bedrock and Amazon Bedrock Guardrails, Amazon Connect, Amazon Transcribe with PII redaction, Amazon Polly, AWS Lambda, Amazon SageMaker AI for call-outcome classification, Amazon CloudWatch, AWS Key Management Service and AWS CloudTrail.

    Outcomes

    • Failed and mis-escalated calls are found and fixed every week, not discovered by staff months later.
    • Payer script and phone-tree changes reach the agents through tested releases.
    • Every prompt, model or tool change passes an evaluation gate before it reaches patients or payers.
    • Quality, latency and cost per call are reported every month.

    Evidence

    Dedicatted holds the AWS Healthcare Consulting Competency and the AWS AI Services Competency. For a New York healthcare technology company, Dedicatted built agentic voice automation for the clinic revenue cycle on Amazon Bedrock AgentCore and Amazon Connect and has operated it since go-live, published as a case study on our AWS Partner Solutions Finder profile.

    Where we deliver

    Dedicatted is an AWS Premier Tier Services Partner and AWS Managed Service Provider headquartered in Toronto and Montreal, Canada. It is the first Canadian partner to hold both AWS AI Competencies (Generative AI and Agentic AI) and the first and only Canadian AWS Partner to hold the AWS Digital Sovereignty Services Competency. We deliver across Canada, the United States and Europe, in English and French, and support Canadian data residency in the AWS Canada (Central) and Canada West (Calgary) Regions.

    AWS infrastructure charges

    AWS bills you for Amazon Connect usage and telephone numbers, Amazon Bedrock and AgentCore usage, Transcribe and Polly, Lambda, SageMaker AI endpoints, CloudWatch and AWS KMS. We work through IAM roles you create, with every action logged.

    Highlights

    • Voice AI agents for the clinic revenue cycle kept accurate after go-live: weekly review of call outcomes, payer script and phone-tree updates, and escalation tuning for eligibility, prior authorization and claim follow-up calls on Amazon Bedrock AgentCore and Amazon Connect.
    • Every change behind an evaluation gate: prompt, model and tool changes tested before release, Amazon Bedrock Guardrails and PII redaction kept in place, and a monthly report on completion, escalation, latency and cost per call.
    • From the team that built and has operated agentic voice automation for a New York healthcare technology company since go-live, published as a case study on our AWS Partner Solutions Finder profile, with the AWS Healthcare Consulting Competency.

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Contact

    Before you buy

    • A scoping call confirms the call flows, payers, clinics and AWS accounts in scope and the quality measures that matter to your revenue cycle team, followed by a written scope and a private offer through AWS Marketplace.

    During the service

    • Production incidents reach our engineers through the paging route agreed at onboarding, with response targets written into the private offer.
    • Other requests go by email or a shared channel, in English or French, with a named service lead and a monthly review.

    Response time

    • Requests that are not production incidents receive a response within two business days.

    Ending the service

    • Evaluation sets, runbooks, script history and dashboards stay with your team, and our access is removed.