AI Agent Systems
Autonomous Workflows & Multi-Agent Coordination
Overview
Unlike simple conversational bots, AI Agent Systems are autonomous code executions that run goal-directed workflows. We design multi-agent systems using framework standards like LangGraph. These agents collaborate, call API tools, verify their own work, and escalate to human operators only when encountering exceptional cases.
Primary Challenges Solved
Manual operational workflows involving copying and pasting data across software portals.
Repetitive, high-volume customer service requests draining support staff resources.
Delayed response times on booking, lead qualification, and document compliance checks.
The Altimet AI Solution
We develop stateful, resilient multi-agent graphs. One agent specializes in document parsing, another in database lookups, and a supervisor agent orchestrates tasks, reviews outputs, and coordinates external API integrations with complete auditability.
Technical Pipeline Flow
Agent Graph
Maps state definitions and transitions between specialized agent nodes.
Tool Call SDK
Provides safe interfaces for agents to interact with internal ERP, CRM, and APIs.
Human-in-the-Loop
Halts agent loop to prompt human review for high-value or ambiguous decisions.
Persistence Layer
Maintains agent state history to support pause, resume, and audit trails.
Quantifiable Metrics
+75%
Operational Efficiency
-95%
Response Time Latency
<8%
Human Hand-off Rate
Delivery Timeline
Security & Latency FAQs
Common operational concerns for enterprise deployments.
Ready to Implement Production-Grade AI?
Schedule a technical discovery session with our engineering team to review model schemas, latency specs, and VPC safety deployment strategies.