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AI agent escalation logic: Designing human handoff workflows that reduce support costs
AI agent escalation logic determines ROI by balancing automation with human handoffs using confidence thresholds and policy guardrails.
Ana-Maria Banta
THE BRIEFING ROOM
GetVocal Blog
Discover our latest blogs, industry insights, and expert perspectives on technology, development, and digital innovation. Stay informed with in-depth analysis and practical guides.
AI agent testing and quality assurance: Preventing production failures before they cost you €300k
AI agent testing prevents production failures that cost enterprises up to 300K in development costs and EU AI Act penalties up to 35M.
Roy Moussa
AI agent performance metrics that matter: Deflection rate, escalation containment, and cost-per-interaction
AI agent performance metrics that matter: Track deflection rate, escalation containment, and cost per interaction for measurable ROI.
Ana-Maria Banta
Handling edge cases and exceptions: How retail AI agents deal with difficult customers and complex scenarios
Retail AI agent edge cases require deterministic logic and hybrid handoff to handle difficult customers without compliance risk.
Ana-Maria Banta
Data quality and knowledge base preparation for AI agents: Making dirty data work in production
Data quality and knowledge base preparation for AI agents requires a five step audit methodology to make dirty data production ready.
Roy Moussa
Context Graphs Explained: How AI Agents Get Memory, Governance, and Control
Context graphs govern what AI agents can do, preserve decision history and create a permanent audit trail. What they are and why enterprise AI needs one.
Jarrod Davis
Build Better AI with the Human-AI Flywheel
Most AI vendors treat humans as a cost to cut. GetVocal's Human-AI Flywheel is built differently. Here's how your team's judgment becomes a compounding system advantage.
Jarrod Davis
Conversational AI governance: Building transparent decision maps for contact center agents
Conversational AI governance requires graph-based decision maps that encode business rules, enable human oversight, and satisfy EU AI Act.
Roy Moussa
Avoiding black-box AI in customer service: Requirements for transparent, auditable AI agents
Avoiding black box AI in customer service requires transparent, auditable AI agents that meet EU AI Act compliance standards.
Roy Moussa
EU AI Act compliance for customer service AI agents: Article 13, 14, and 22 requirements explained
EU AI Act compliance for customer service AI agents requires Article 13 transparency, Article 14 human oversight, and GDPR Article 22 controls.
Ana-Maria Banta
Best conversational AI for enterprise customer operations
Best conversational AI for enterprise customer operations requires governance, EU AI Act compliance, and hybrid orchestration at scale.
Ana-Maria Banta
AI agent behavioral drift: How your AI starts making wrong decisions over time
AI agent behavioral drift is the slow divergence between designed and actual behavior in production, caused by data and concept drift.
Roy Moussa
BPO knowledge transfer playbook: Capturing 10 years of tribal knowledge into AI agents
BPO knowledge transfer to AI requires transcript mining, shadow interviews, and edge case mapping to prevent knowledge loss.
Ana-Maria Banta