Coordinate AI Agents Around Real Business Work

Design governed multi-agent systems that work across processes, data, and enterprise applications while keeping people in control.

Enterprise-Grade Agent Orchestration

Multi-agent systems divide complex work across specialized agents, coordinate handoffs, and bring defined controls into the workflow.

Controlled Decision ExecutionAgents can analyze information, evaluate options, and execute approved actions within defined rules, permissions, and escalation points.
Intelligent CollaborationSpecialized agents can handle different steps of the same process while sharing the context required to complete the work.
Legacy System IntegrationConnect agents with existing applications, enterprise data sources, IBM i, databases, APIs, and modern cloud platforms.
Governance and ControlDefine access, approvals, audit trails, and guardrails so agent activity stays within business and compliance requirements.
Feedback-Driven ImprovementUse monitoring, user feedback, and outcome reviews to refine agent behavior and workflows over time.
Scalable InfrastructureStart with a focused use case, monitor performance, and expand deployment as the operating model and controls mature.

Real-World Applications

Multi-agent AI can coordinate work across functions where processes span multiple systems, decisions, and handoffs.

Claims and Underwriting

Coordinate intake, policy checks, document review, investigation data, and approval steps while keeping required human review in the process.

Data Governance and Discovery

Coordinate discovery, classification, ownership, policy checks, and access decisions across enterprise data.

Supply Chain Optimization

Bring procurement, inventory, logistics, and operational signals together to help teams respond faster to exceptions and demand changes.

Customer Service

Use agents to handle routine requests, gather relevant context, and route complex cases to the right specialist.

Financial Operations

Support reconciliation, expense review, anomaly identification, forecasting, and report preparation across finance workflows.

Legacy Modernization

Use agents to help older and newer systems exchange information and coordinate workflows where direct integration is difficult.

How We Deliver Your Solution

A structured path from business problem to governed production deployment.

Discovery
Map the process, business outcome, systems, data, decision points, and where agent coordination can add value.

Design
Define agent roles, workflow logic, integrations, permissions, guardrails, approvals, and success measures.

Develop
Build and test agents, connect required systems, and validate the end-to-end workflow against business and control requirements.

Deploy
Move the solution into production with monitoring, human oversight, documentation, and a plan for controlled expansion.

Why Audax Labs

Enterprise AI requires more than agent development. It requires integration, data context, governance, and a practical path to production.

AI and AutomationExperience designing intelligent systems, automation, and agent-based workflows around real business processes.
Practical DeliveryReusable components and delivery methods help teams move from a focused pilot to production with less reinvention.
Global PartnershipsWork with an ecosystem that includes Hitachi Vantara, Rocket Software, and other technology providers.
Data and GovernanceDataBeagle helps discover, classify, and govern enterprise data so agents can work with better-understood information and defined access controls.
Legacy IntegrationExperience connecting modern AI with IBM i, mainframes, relational databases, APIs, and enterprise applications.
Governance by DesignSecurity, approvals, data residency, auditability, and regulatory requirements are considered as part of the solution design.

Representative Enterprise Scenarios

Examples of where multi-agent architectures can coordinate complex work. These are use-case scenarios, not customer performance claims.

Global FinTech
Automated AML Compliance & Transaction Audit Swarm
Deployed 40+ specialized agents collaborating on real-time transaction flags, cross-referencing global sanctions lists, and generating regulatory filings automatically.
82% Reduction
in manual audit turnaround time
Supply Chain Giant
Autonomous Port Delay & Route Mitigation Swarm
Agent network monitors global weather, port congestion APIs, and customs updates to dynamically issue ERP rerouting orders without human bottleneck.
$14.2M Saved
in annual demurrage and expedite fees
Health Network
HIPAA-Compliant Prior Authorization Agent Mesh
Autonomous agents retrieve clinical records, compare treatment plans against insurance rules, and process pre-approvals instantly with zero PII leak.
15x Faster
prior authorization resolution speed

Industries We Serve with Multi-Agent AI Solutions

Automotive: AMIA, The Intelligent Vehicle Assistant

Solution
AMIA, Automotive Multi-Intelligent Agent

Capabilities include:

  • AI-assisted diagnostics and troubleshooting using computer vision
  • Customer support across web, mobile, and voice channels
  • Predictive maintenance insights and vehicle alerts
  • Risk and safety insights based on available vehicle data

Use Case
Designed for automotive manufacturers, dealerships, and mobility providers that want to connect vehicle information with customer support and service workflows.

Utilities: Talaria, AI-Powered Power Restoration

Solution
Talaria, AI Predicting Power Restoration

Capabilities include:

  • Outage detection and event monitoring
  • Restoration-time forecasting
  • Resource planning and allocation support
  • Predictive customer notifications
  • Integration with utility management platforms

Use Case
Utilities and response teams can use Talaria to improve outage visibility, support restoration planning, and communicate more proactively with customers.

BFSI: AI-Driven Financial Intelligence

Solution
AI-Driven Financial Intelligence

Agentic AI capabilities include:

  • Fraud and risk investigation support
  • Customer service and engagement workflows
  • Financial analysis and decision support
  • Claims and underwriting workflow automation

Use Case
Banks and insurers can use agentic workflows to coordinate complex processes across risk, compliance, service, claims, and underwriting while keeping defined human approvals in the loop.