Fluents.ai | Fluents + Amazon Bedrock: Run Voice AI Inside Your AWS Infrastructure

Keep AI calling inside your AWS infrastructure — with IAM, VPC, and enterprise cloud agreements intact.

Fluents on Amazon Bedrock: Frontier LLMs Inside Your AWS Stack

Amazon Bedrock is AWS's managed LLM service — providing access to frontier models including Anthropic Claude, Meta Llama, and Amazon Titan through AWS infrastructure. For organizations whose technology stack is built on AWS, Bedrock lets Fluents run its conversation engine within their existing cloud environment, under their IAM policies, and against their existing AWS enterprise agreements.

This matters for regulated industries where AI processing must stay within a governed cloud boundary — and for finance and procurement teams who want AI costs consolidated under a single cloud vendor relationship.

Run Fluents' conversation engine through Bedrock — keeping LLM inference inside your AWS VPC with IAM access controls and audit logging

Access Claude, Llama, and other frontier models through a single AWS agreement rather than managing multiple AI vendor relationships

Consolidate AI calling costs against existing AWS enterprise commitments and reserved capacity

![](/images/68c1aa122513192e19ae248c-n Why AWS Infrastructure Matters for Enterprise AI

Enterprise organizations that have built their stack on AWS have invested years in their IAM policies, VPC architecture, CloudTrail audit logging, and compliance certifications tied to AWS infrastructure. Taking AI processing outside AWS — to separate API endpoints — fragments that security and compliance posture. Bedrock keeps Fluents' conversation engine inside the boundary your security team already governs.

Financial Services: AI Under Existing Governance

A financial services firm running Fluents for client communication automation — appointment confirmation, document collection follow-up, account review scheduling — needs AI processing under the same governance framework as the rest of its technology stack. Bedrock puts the conversation engine inside AWS with CloudTrail logging every model call, IAM controlling which systems can access it, and the firm's existing AWS compliance certifications covering the infrastructure.

Healthcare: HIPAA Within a Single Cloud Boundary

Healthcare organizations with HIPAA-compliant AWS environments can configure Fluents to route conversation engine calls through Bedrock within their HIPAA-eligible AWS environment. Patient data never leaves the governed boundary — and the BAA relationship with AWS covers the AI processing layer alongside all other PHI-touching systems.

Procurement: One AI Bill, One Vendor

Consolidating Fluents' AI model costs under an existing AWS enterprise agreement simplifies procurement, reduces vendor management overhead, and lets organizations apply existing AWS reserved capacity commitments against AI calling costs.

Calls That Just Work

No per-minute taxes. No brittle workflows. Just enterprise-grade reliability with API-level flexibility.

![Fluents.ai AI platform dashboard interface screenshot](/images/68c1a5e95a5a8f4282be60bc-nRelated Resources

Other Integrations

Dive deeper with setup guides, API references, and partner tutorials to unlock the full potential of Fluents integrations.

Keragon

Customer Support

Fluents + Keragon 

Automate Patient Communication with Fluents Voice AI The Fluents connector for Keragon bridges the gap between your healthcare data and action. By integrating Fluents' powerful Voice AI directly into your Keragon workflows, you can automatically trigger outbound phone calls to patients or staff based on real-time events.

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MailerLite

Third-party

Fluents + MailerLite empowers real-time voice integration into your email campaigns, enhancing orchestration and maintaining compliance across channels.

BotPenguin

Third-party

Fluents + BotPenguin empower real campaigns with seamless integration, compliance assurance, and enhanced communication orchestration.

“Fluents made it incredibly fast to get our AI agent live. It replaced an answering service that cost 5x more - and performed better. Trusted partner, excellent quality, zero hassle.”

![Business professional photo](/images/68c1a5e95a5a8f4282be60bc-nAlvin Ramin

Premier AI Advisors, Partner

![Premier AI Advisors logo](/images/68c1a5e95a5a8f4282be60bc-n FAQs

Questions about using Amazon Bedrock with Fluents.

Which models on Bedrock does Fluents support?

Fluents can be configured to use Claude on Bedrock (Anthropic's models via AWS), as well as Llama models via Bedrock. The specific model configuration depends on your use case and latency requirements. Contact the team to discuss which Bedrock model is right for your deployment.

Does using Bedrock affect Fluents' other stack components?

No. Bedrock replaces the conversation engine layer only. ElevenLabs handles voice synthesis, Deepgram handles transcription, and Fluents Insights generates structured call output — all unchanged. Your agent configurations and workflows remain identical.

Is Bedrock configuration available for all Fluents plans?

Bedrock model configuration is an enterprise feature. Contact the Fluents team to discuss deployment architecture and whether this configuration fits your plan and requirements.