Solutions

Enterprise AI Solutions That Scale

Purpose-built agentic systems for your industry, powered by Azure AI Foundry

Intelligent Document Processing

The Problem

Manual document review consumes 40% of knowledge worker time

Our Approach

  • Multi-agent system with specialized processors
  • Document classification agent (invoices, contracts, forms)
  • Data extraction agent with GPT-4o vision
  • Validation agent with business rule engine
  • Workflow routing agent with human-in-the-loop

Architecture

  • Foundry Agent Service for orchestration
  • Azure Form Recognizer for structured data
  • Foundry IQ for historical context
  • Logic Apps for downstream systems
  • SharePoint & OneLake integration

Outcomes

85%

Reduction in processing time

99.2%

Accuracy on structured documents

$2.4M

Annual cost savings (typical)

6 weeks

Implementation timeline

Enterprise Knowledge Assistant

The Problem

Critical knowledge scattered across systems, inaccessible to employees

Our Approach

  • Agentic RAG system with Foundry IQ
  • Multi-source knowledge agent (SharePoint, Teams, OneLake, ADLS)
  • Query understanding agent with intent classification
  • Response synthesis agent with citations
  • Continuous learning from user feedback

Architecture

  • Azure AI Search with semantic ranking
  • Foundry IQ for unified knowledge access
  • Purview governance for data security
  • Entra ID for user-level permissions
  • Microsoft 365 Copilot integration

Outcomes

70%

Reduction in information search time

24/7

Availability with instant responses

94%

User satisfaction score

8 weeks

Deployed to 10,000+ users

Multi-Agent Customer Service

The Problem

Complex customer inquiries require multiple department handoffs

Our Approach

  • Agent orchestrator with routing logic
  • Intent classification agent
  • FAQ specialist agent
  • Order management agent
  • Technical support agent
  • Escalation coordination agent

Architecture

  • Semantic Kernel for multi-agent orchestration
  • Foundry Tools for CRM/ERP integration
  • Built-in memory for conversation context
  • Azure Functions for custom business logic
  • Teams/web chat deployment

Outcomes

70%

Autonomous resolution rate

2 min

Average response time

40%

Reduction in support costs

95%

Customer satisfaction

Predictive Maintenance System

The Problem

Unplanned equipment downtime costs $260,000/hour

Our Approach

  • IoT data ingestion agents
  • Anomaly detection agent with time-series analysis
  • Predictive modeling agent (RUL estimation)
  • Maintenance scheduling agent
  • Parts procurement agent

Architecture

  • Azure IoT Hub for sensor data
  • Azure ML for predictive models
  • Foundry Agent Service for orchestration
  • Digital Twin integration
  • SAP/Maximo tool connectors

Outcomes

45%

Reduction in unplanned downtime

30%

Lower maintenance costs

60 days

Advance failure warnings

$3.8M

Annual savings (typical)

Technology Deep-Dive

Explore the technologies that power our solutions

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