Agentic AI
Autonomous, tool-using AI agents on AWS — reasoning, planning, and executing real business workflows with human oversight
Autonomous, tool-using AI agents on AWS — reasoning, planning, and executing real business workflows with human oversight
Agentic AI goes beyond chat and content generation. We build AI systems that take action — agents that reason over a goal, plan a sequence of steps, call the right tools and APIs, and complete multi-step work autonomously, with humans in the loop for the decisions that matter.
Our offering is built on Amazon Bedrock Agents with a ReAct reasoning pattern, Lambda-backed tools, Bedrock Guardrails, and end-to-end trace logging — production agents that are secure, auditable, and cost-efficient. Backed by our AWS Generative AI Competency.
Design orchestrator-and-specialist agent architectures on Amazon Bedrock Agents. A central agent plans the workflow and coordinates specialized sub-agents that investigate, analyze, and act in parallel across multiple systems.
Give agents safe, least-privilege access to your world — Lambda-backed tools that query databases, call APIs, read documents, and trigger actions in CRM, ERP, ITSM, EHR, and cloud operations systems.
ReAct-pattern agents that plan, act, observe, and re-plan dynamically based on intermediate results — handling long, branching workflows that static rules and single-shot prompts cannot.
Approval gates and interrupt nodes route low-confidence or high-impact decisions to a person before any consequential action is taken. Agents recommend; humans approve what matters.
Amazon Bedrock Guardrails for PII redaction, content filtering, and grounding, plus bias monitoring and full reasoning transparency — so every agent decision is explainable and defensible.
Every tool call, decision, and human override is logged end-to-end via Bedrock Agent traces and CloudTrail — giving you a complete, compliance-ready audit trail of what the agent did and why.
A demo agent is easy. We specialize in the hard part — agents that are reliable, secure, cost-effective, and trusted in production.
We benchmark models (Claude 3.5 Sonnet, Claude Opus, and others) on Amazon Bedrock against your workload — reasoning depth, tool-use reliability, latency, cost, and AWS-native data residency — and pick the right model per use case.
Fully serverless designs using Bedrock Agents, Lambda, Step Functions, DynamoDB, EventBridge, and S3 — multi-AZ, auto-scaling for burst loads, with no infrastructure to patch or capacity-plan.
Private VPC deployment, least-privilege IAM per tool, KMS encryption, VPC endpoints, and MFA-protected access. Agents default to read-only; write actions require explicit approval.
Prompt caching, context windowing, selective agent activation, and token budgets to control inference spend — plus CloudWatch dashboards, alarms, runbooks, and DR for dependable operations.
Real customer outcomes from our Agentic AI engagements
An autonomous Amazon Bedrock Agent that screens, scores, and ranks candidates against job descriptions — orchestrating Textract, scoring rubrics, and recruiter notifications end-to-end.
An autonomous healthcare operations agent coordinating appointments, medications, diagnostics, and insurance across EHR, lab, and telemedicine systems — with clinician oversight and PHI protection.