From Hallucinations to Trusted Autonomy: Enterprise Agent Tuning at Scale 

About the client

A leading regional utility provider faced mounting pressure to deliver exceptional customer service while managing rising operational costs. Their internal teams were stretched thin, and leadership sought a partner who could not only scale support operations but also elevate the customer experience—without compromising quality or agility.

The Challenge

As the client scaled agentic AI capabilities, several issues limited enterprise reliability: 

• Trajectory gap in training data: Foundation models lacked exposure to successful agentic decision paths required for multi-step planning, execution, and observation. 
• Tool hallucinations in enterprise workflows: Agents demonstrated conceptual understanding but struggled to reliably interact with tools in zero-shot environments. 
• Repetition loops and failed recovery: When errors occurred, agents frequently repeated failed actions instead of adapting. 

Safety versus agency trade-offs: The client needed agents that were both helpful and predictable, with clear human-in-the-loop boundaries. 

The Solution

Insight Global designed and implemented a language model and agent tuning solution in partnership with the client’s own internal AI-assistant research team. They developed robust data gathering and data generation processes to train and tune new models and agents.  

These focus on: 

1. Model Optimization 
Generated and tuned models on high-density expert decision paths, teaching the logic of planning, action, and observation. 

2. Specialized Instruction Tuning 
Enhanced agents’ ability to interface with external tools without breaking, enforcing strict schema adherence to reduce hallucinations. 

3. Agentic Behavior 
Tuned agents to recognize when Plan A fails and autonomously generate Plan B, improving recovery and self-correction. 

4. Agent Guardrails 
Aligned agent behavior with defined boundaries of autonomy, ensuring agents knew when to execute and when to request human intervention. 

Results & Impact 

• Task Completion Rate increased from 45% to 82%, driven by improved complex, multi-step loop success. 
• Tool Accuracy Rate improved from 60% to 96%, achieving schema-perfect behavior and dramatically reducing parameter hallucinations. 
• Self-Correction Rate increased from 15% to 75%, reducing repetition loops and improving error detection and repair. 
• Safety Violation Rate shifted from high and unpredictable to negligible, with agents adhering to strict guardrails. 

The Insight Global Difference 

This engagement focused on implemented outcomes, not experimentation. Insight Global delivered behavioral improvements that matter most for enterprise agentic systems: reliable task completion, accurate tool usage, adaptive recovery, and predictable safety controls. 

Areas of Expertise

• Language model and agent tuning 
• Trajectory optimization using expert decision paths 
• Specialized instruction tuning and schema enforcement 
• Agent recovery and self-correction behaviors 
• Guardrail alignment and human-in-the-loop controls 
• Enterprise agent deployment across retail and healthcare 

Ready to Elevate Your AI Systems? 

Insight Global helps organizations move from experimental agents to enterprise-ready AI systems through disciplined tuning, hands-on implementation, and measurable performance gains.