Solution Architecture Spec

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.

Operational Bottlenecks Addressed

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.

System 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.

Targeted Operational Metrics

+75%

Operational Efficiency

-95%

Response Time Latency

<8%

Human Hand-off Rate

Deployment Phasing

Phase 1: Flow Mapping Weeks 1-2
Phase 2: Tooling Build Weeks 3-5
Phase 3: Graph Tuning Weeks 6-8
Phase 4: Pilot Test Weeks 9-11

Architecture & Integration FAQs

Operational details and technical requirements.

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