Amazon Bedrock
Fluents + Amazon Bedrock seamlessly enhances campaign orchestration and compliance, with integrations native to your existing infrastructure. Drive intelligent, automated voice interactions that deliver superior results.
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
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.
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FAQs
Questions about using Amazon Bedrock with Fluents.
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.
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.
Bedrock model configuration is an enterprise feature. Contact the Fluents team to discuss deployment architecture and whether this configuration fits your plan and requirements.