AI agents that reason, plan, and execute multi-step business workflows — with human oversight, configurable guardrails, and full auditability. We go deepest on Amazon Bedrock today, with the same engineering across Azure and Google Cloud.
A representative pattern across our agentic engagements — the number and role of specialist agents varies by use case. For large, multi-agent deployments we build on Amazon Bedrock AgentCore for session state, identity, and runtime isolation at scale; smaller workflows run on Bedrock Agents directly.
Agents reason, plan, and execute multi-step workflows — but every run is observed, every decision logged, and low-confidence or high-risk actions route to a human reviewer through a guardrail gate. For large multi-agent deployments we build on Amazon Bedrock AgentCore for session state, identity, and runtime isolation at scale.
AI-powered candidate screening & ranking agent — 94% faster shortlisting, 3.2x peak hiring capacity.
Read case study →AgentCare patient journey manager — 96% appointment attendance, 76% less admin effort.
Read case study →An in-flight enterprise engagement, customer name withheld — 50+ agents across a dozen-plus departments and several channels on Amazon Bedrock AgentCore.
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