Service
AI agents that reason, decide, and orchestrate—with humans in the loop.
Beyond automation: intelligent agents that handle complex workflows, adapt to exceptions, and escalate when judgment is required.
The Challenge
Understanding the problem
Traditional automation follows rules. When the rules don’t cover a situation, the bot fails and a human intervenes. For complex, variable workflows, this means constant exceptions and limited ROI.
Agentic AI changes the equation. Agents can reason about context, make decisions within defined boundaries, and orchestrate multi-step processes that would overwhelm rules-based automation.
Our Approach
How we deliver results
- Task orchestration: Agents coordinate multi-system workflows, handling branching logic and exceptions
- Contextual reasoning: LLM-powered agents interpret unstructured inputs (emails, documents, queries) and take appropriate action
- Human-in-the-loop governance: Agents operate within defined authority limits; humans approve high-stakes decisions
- Continuous learning: Agent performance improves with feedback and expanded training data
What You Get
Expected outcomes
- Automation of complex, judgment-intensive workflows
- Reduced exception handling burden on staff
- Faster resolution of multi-step processes
- Transparency and auditability for every agent decision
Proof Points
Demonstrated results
Agentic Open Source Intelligence Tool delivering timely, actionable intel
Operations Coordination Agent — reduced management coordination time by 80%
Technologies
Platforms we leverage
UiPath
Azure AI
Google Cloud AI
Anthropic Claude
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