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    iQanto: Agentic AI for Data-Driven Decision Making on AWS

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    Sold by: iQanto 
    Agentic AI on AWS that combines Amazon Bedrock, multi-agent orchestration, and enterprise data to deliver grounded reasoning, analysis, and action with responsible AI guardrails.

    Overview

    Move beyond dashboards to decision intelligence. We design and implement agentic AI systems on AWS that reason over your enterprise data, call business tools, and take action on behalf of users — turning analytics into outcomes. The solution combines Amazon Bedrock foundation models, Bedrock Agents, and orchestration frameworks (such as LangGraph or Strands) with secure access to your data warehouses, data lakes, APIs, and SaaS systems.

    Our engineers define high-value decision workflows with your stakeholders, then deliver production-grade agents with retrieval, tool use, memory, and human-in-the-loop checkpoints. Every deployment includes Amazon Bedrock Guardrails, evaluation harnesses, prompt and model version control, cost and latency observability, and role-based access controls. We integrate with Amazon Redshift, Amazon Athena, Amazon S3, AWS Glue, and your BI layer so agents ground their reasoning in authoritative data, not hallucination.

    This offering relates to the following AWS services: Amazon Bedrock (including Bedrock Agents, Knowledge Bases, and Guardrails), Amazon SageMaker, Amazon Q, AWS Lambda, Amazon API Gateway, Amazon Redshift, Amazon Athena, AWS Glue, AWS Lake Formation, Amazon S3, Amazon OpenSearch Service, AWS Step Functions, Amazon DynamoDB, Amazon CloudWatch, and AWS IAM.

    Highlights

    • Agentic AI orchestrated with Amazon Bedrock Agents and modern frameworks, grounded in your enterprise data so agents reason, plan, and act on authoritative information rather than probabilistic guesses.
    • Secure, governed integration with data lakes, warehouses, and business systems — Amazon Redshift, Athena, Lake Formation, Glue, and SaaS APIs — with role-based access, audit logging, and data residency controls.
    • Responsible AI by default: Amazon Bedrock Guardrails, evaluation harnesses, prompt and model version control, cost and latency observability, and human-in-the-loop checkpoints for high-stakes decisions.

    Details

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    Deployed on AWS
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    Support

    Vendor support

    Our AI Professional Services team delivers and supports each engagement end-to-end — from discovery and architecture, through implementation and go-live, to knowledge transfer and post go-live support scoped to customer requirements.

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