Voicing AI today announced a breakthrough in enterprise artificial intelligence, achieving 97% accuracy in real-world function calling—well above the industry average of 80–82%. The advancement addresses a persistent enterprise challenge: while many AI systems converse fluently, they often fail at executing business-critical tasks like retrieving CRM data, updating inventories, resolving tickets, managing workflows, or taking consumer-facing actions without human oversight.
What is Function Calling Accuracy:
Function calling is the ability of AI models to interpret user requests and execute correct API calls/actions. Generic LLMs like ChatGPT, Claude, Mistral, and Qwen excel at generating text, but often struggle with precision in production, leading to hallucinations and costly operational errors. Voicing AI models however, are built for production, consistently delivering 97%+ accuracy across 180+ sequential operations.
“Enterprises don’t need AI that entertains—they need AI that executes with precision,” said Abhi Kumar, Founder and CEO of Voicing AI. “We’re not just closing the gap; we’re defining a new benchmark for applied AI.”
Dual-Objective Training: Solving AI’s Execution Crisis
Unlike competitors that retrofit function calling onto conversational models, Voicing AI built action-first intelligence from the ground up. “Most models guess when to call a function. Ours knows,” Kumar explained. “We trained on millions of decision points—when to keep talking versus when to execute.”
The training data is the differentiator:
- 67% proprietary conversations from real enterprise workflows (flight bookings, CRM updates, ticket resolutions)
- 33% curated tool-use datasets (Glaive, ToolACE, AllysonAI)
- 0% general web crawl data
This ensures the model learns to act, not just chat.
Voicing AI’s dual-objective training is reinforced by three innovations:
- Execution Memory: Tracks actions and reasoning, creating compliance-ready audit trails and enabling mid-process adaptability
- Context-Aware Processing: Maintains continuity across multi-step operations, eliminating redundant confirmations
- Built-in Retrieval Awareness: Decides what data to fetch, when to summarize, and when exact information is required
Three Specialized Models for Enterprises
- Edge Performer(1B): On-device for sensitive sectors like healthcare and retail
- Balanced Executor(8B): Sub-second automation for customer service and integrations
- Enterprise Powerhouse(70B): Handles complex domains such as legal research and fraud detection
Deployment flexibility spans on-premise, edge, private cloud, and hybrid environments, making the platform suitable for regulated industries like healthcare (HIPAA-compliant) and finance.
Proven Enterprise Impact
The platform is already delivering measurable impact:
- A North American telecom provider improved first-call resolution from 43% to 84%
- A Fortune 500 airline boosted CSAT by 43% through flight disruption automation
- A global retailer achieved a 10x speed increase in inventory and purchasing workflows
“Customers are seeing 60% lower service costs, 85% fewer execution errors, and over 8X ROI from initial deployments,” Kumar added.
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