Multimodal Customer Support Routing

Dynamically route complex, multimodal inquiries to agents with the proven skills and context to resolve them on the first interaction, eliminating frustrating transfers.

Eliminate agent discovery time by instantly pairing customers with the right expert or AI resource, based on a unified analysis of their voice tone, text sentiment, and visual cues.

Agents receive well-qualified, context-rich interactions that match their expertise, reducing cognitive load and burnout while increasing their effectiveness and job satisfaction.

Deliver faster, more accurate support by understanding the full context of a customer's issue. This directly improves CSAT, NPS, and reduces customer effort scores.

Seamlessly blend AI bots and human agents within the same routing logic. Automate simple queries and escalate complex ones, allowing your team to scale support volume without linear headcount growth.

Gain deep insights into inquiry patterns, agent performance, and process bottlenecks. Use this data to continuously refine routing rules, training programs, and AI model performance. Learn more about building intelligent data pipelines in our guide to Multimodal AI Data Pipelines and Integration.

Route complex inquiries like fraud disputes or loan applications by analyzing customer stress in voice, urgency in text, and document details in video uploads. Ensures sensitive cases reach specialized agents immediately, reducing fraud exposure and improving compliance audit trails.

Triage patient support by cross-referencing spoken symptoms, typed medical history, and live video for visual cues. Directs cases to the correct clinical specialist or billing department, optimizing first-contact resolution and protecting PHI under HIPAA-aligned architectures.

Analyze multimodal inputs—error screenshots, user voice frustration, support ticket text—to instantly route users to Level 2 engineers or automated knowledge bases. Drastically reduces average handle time and improves CSAT scores by resolving issues on the first interaction.

Process returns, sizing questions, and product damage claims by evaluating customer sentiment from voice, order details from chat, and product condition from uploaded images. Routes to the appropriate fulfillment or specialist team, boosting retention and reducing operational costs.

Diagnose service outages and technical issues by correlating live video of equipment lights, customer descriptions, and network telemetry. Intelligently routes to field dispatch, tiered tech support, or automated troubleshooting, minimizing truck rolls and improving SLA adherence.

Accelerate claims intake by analyzing claimant statements (audio), written forms (text), and damage photos/video (visual). Our engine routes to the correct adjuster specialty—auto, property, health—reducing processing time and improving fraud detection accuracy from day one.