
AWS Bedrock — the architecture at a glance.
The moving parts of a production deployment, from channels and orchestration to systems of record.
AWS-standardized enterprises need AI that stays inside their perimeter.
Bedrock is the fastest path when your data, identity and workloads already live in AWS. Provisioned throughput, PrivateLink and IAM keep AI inside the same controls as the rest of your platform.
- Model choice, one APISwap between Claude, Llama, Mistral, Titan and Nova without rewriting integrations.
- Grounded on AWS dataBedrock Knowledge Bases over S3, OpenSearch, Aurora and Redshift with IAM-scoped access.
- Guardrails + governanceContent filters, PII redaction, denied topics and evaluations baked into every model call.
Full-lifecycle AWS Bedrock delivery.
Right-size Claude, Llama, Nova and Titan per use case for cost and quality.
Vector RAG on OpenSearch Serverless with IAM-scoped retrieval.
Multi-step agents with action groups over Lambda, Step Functions and enterprise APIs.
PII redaction, denied topics, contextual grounding and jailbreak protection.
Reserved capacity for predictable latency and cost on high-volume workloads.
Prompt regression, model swaps and cost optimization under one SLA.
Need certified AWS Bedrock talent?
Deploy specialists who have delivered AWS Bedrock implementations across enterprise environments — from design and build through steady-state operations.
- Certified engineers
- Solution architects
- Conversation designers
- Delivery leads
A six-step model, from assessment to managed operations.
Every engagement follows the same rhythm — so business, IT and delivery stay aligned from opportunity to outcome.
Use cases, AWS data estate and IAM model.
Model, Knowledge Base and Agent architecture.
One grounded agent with Guardrails.
Agents, RAG, PrivateLink and provisioned throughput.
LOBs, regions, accounts, models.
Managed prompts, cost and evaluations.
Use cases already in production with enterprise clients.
Bedrock agents grounded on knowledge, integrated into Amazon Connect and Salesforce.
Claude / Nova on Bedrock over S3 for contract, claim and clinical document workflows.
Bedrock Agents that query Redshift and Aurora with IAM-scoped tools.
Guardrails + Knowledge Bases for FS, healthcare and public-sector assistants.
Industries where this ships fastest
- Financial Services
- Healthcare Providers
- Retail & E-commerce
- Insurance
AWS Bedrock programs we delivered.
Production implementations with the outcomes each client reported after go-live.
- Health PayersCutting claim-triage cycle time by 62% at a top-5 US health insurer-62% — Cycle timeRead the case study →
- InsuranceCutting LLM spend 41% at a Fortune 100 insurer-41% — Total LLM spendRead the case study →
- BPO18% lift in right-party contact for a global BPO — agentic outbound collections+18% — Right-party contactRead the case study →
Grounded on your data. Governed on day one.
Every platform we implement is only as good as the retrieval, connectors and controls behind it. These are the horizontal solutions we ship with every engagement.
Model the economics of building on AWS Bedrock.
Free, ungated models covering build-versus-buy, agentic workflow value and automation payback — with a board-ready PDF export.
- AI Build vs Buy ROI CalculatorTotal cost of a platform licence versus in-house build, over a three-year horizon.
- AI Run-Cost & FinOps CalculatorCost per resolution from token volume, model mix, caching and human escalation.
- Agentic AI ROI CalculatorMulti-step autonomous workflows — task completion, escalation rate and supervision cost.
- AI Business Automation ROI CalculatorBack-office and workflow automation value across volume, handling time and error rework.
- Contact Center AI ROI CalculatorContainment, AHT and deflection value modelled against your current agent cost base.
Scoping a AWS Bedrock programme? Send us the brief.
Four fields. Tell us the outcome and timeline and a delivery lead for this area replies with indicative scope, team shape and commercial options.
platformAWS Bedrock — routed to this team
Where this fits in our practice
Questions buyers ask us first.
- Bedrock vs OpenAI direct vs Azure OpenAI?
- Bedrock wins when data and identity are on AWS, and when you want model choice without vendor lock-in. Azure and OpenAI direct win in Microsoft or OpenAI-first shops.
- Do you support provisioned throughput?
- Yes — we size PT against P95 concurrency, keep on-demand for burst, and monitor cost per resolved interaction.
- How do Bedrock Guardrails compare to custom safety layers?
- Guardrails cover the common controls (PII, denied topics, grounding) natively. For high-risk workloads we layer in custom evaluations, red-teaming and NIST AI RMF-aligned reviews.
How we work
Platform work is delivered the same four ways: architecture advisory, build and integration, managed run, or embedded platform pods.
pronix.ai is the AI & CX systems integrator practice of Pronix Inc.
One accountable delivery model: US-based architecture and program leadership with global engineering pods running 24×7 build, cutover and hypercare.
- Founded
- 2010 · Pronix Inc
- Headquarters
- 666 Plainsboro Rd, Suite 1361, Plainsboro, NJ 08536
- Delivery centers
- United States · India (Hyderabad) · EMEA
- Engagement model
- Fixed-scope implementation, managed run, staff augmentation and T&M Agile Teams.
Certifications
- AWS Certified (Solutions Architect, Developer)
- Amazon Connect specialty
- Genesys Cloud CX certified
- NICE CXone certified
- Salesforce certified (Service Cloud, Agentforce)
- Microsoft Azure AI certified
Partner tiers
- AWS — Advanced Tier Services Partner
- Genesys — Implementation partner
- Kore.ai — Reseller and Strategic Implementation Partner
- NICE CXone — Implementation partner
- Five9 — Channel partner
- Microsoft — Gold partner
- Salesforce — Consulting partner
Security questionnaires, controls documentation and named client references are available under NDA. More about Pronix Inc →
Book a working session with our aws bedrock team.
30 minutes. Your architecture, your data, your KPIs. You leave with a concrete pilot outline and a business case worth defending.
