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6–10 wk — First agent in production
Slide 1 of 3
6–10 wk
First agent in production
Multi-model
Claude, Llama, Nova
IAM-scoped
Retrieval and actions
Guardrails
Content safety enforced
Certified partner platforms
  • AWS Bedrock platform logo
The enterprise challenge

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 API
    Swap between Claude, Llama, Mistral, Titan and Nova without rewriting integrations.
  • Grounded on AWS data
    Bedrock Knowledge Bases over S3, OpenSearch, Aurora and Redshift with IAM-scoped access.
  • Guardrails + governance
    Content filters, PII redaction, denied topics and evaluations baked into every model call.
Capabilities

Full-lifecycle AWS Bedrock delivery.

01
Model strategy

Right-size Claude, Llama, Nova and Titan per use case for cost and quality.

02
Knowledge Bases (RAG)

Vector RAG on OpenSearch Serverless with IAM-scoped retrieval.

03
Bedrock Agents

Multi-step agents with action groups over Lambda, Step Functions and enterprise APIs.

04
Guardrails

PII redaction, denied topics, contextual grounding and jailbreak protection.

05
Provisioned throughput

Reserved capacity for predictable latency and cost on high-volume workloads.

06
Managed operations

Prompt regression, model swaps and cost optimization under one SLA.

AWS Bedrock-certified talent

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
How we deliver

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.

01
Assess

Use cases, AWS data estate and IAM model.

02
Design

Model, Knowledge Base and Agent architecture.

03
Pilot

One grounded agent with Guardrails.

04
Implement

Agents, RAG, PrivateLink and provisioned throughput.

05
Scale

LOBs, regions, accounts, models.

06
Operate

Managed prompts, cost and evaluations.

Where it lands

Use cases already in production with enterprise clients.

Contact-center copilots

Bedrock agents grounded on knowledge, integrated into Amazon Connect and Salesforce.

Document intelligence

Claude / Nova on Bedrock over S3 for contract, claim and clinical document workflows.

Data-warehouse Q&A

Bedrock Agents that query Redshift and Aurora with IAM-scoped tools.

Regulated RAG

Guardrails + Knowledge Bases for FS, healthcare and public-sector assistants.

Industry patterns

Industries where this ships fastest

  • Financial Services
  • Healthcare Providers
  • Retail & E-commerce
  • Insurance
See industry solutions →
Runs on

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.

Not sure where to start? Score your organization in 10 minutes.Take the AI Readiness Assessment →
Submit a project brief

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

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Frequently asked

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.

Who we are

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

Next step

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.