We design agent topologies — single-agent, multi-agent, hierarchical — tailored to your workflow complexity, reliability requirements, and latency constraints.
Agents that can call your APIs, query databases, interact with third-party services, and take real actions — with proper error handling and retry logic.
Multi-agent workflows where specialized agents collaborate, hand off tasks, and resolve conflicts — without infinite loops or runaway costs.
Configurable approval gates, escalation paths, and override mechanisms so humans stay in control of high-stakes decisions.
Production deployments using Amazon Bedrock's managed agent infrastructure with built-in guardrails and knowledge bases.
Stateful, graph-based agent orchestration for complex multi-step reasoning and branching decision flows.
Lightweight agentic patterns for rapid prototyping and production deployment of tool-using AI agents.
Full tracing of agent reasoning chains, tool calls, and decision points — so you can debug, audit, and optimize agent behavior.
Input/output validation, content filtering, cost limits, and execution boundaries to prevent agents from going off-script.
Scenario-based testing frameworks that validate agent behavior across edge cases before they reach production.