Verint Real-Time Work

Verint Real-Time Work is a real-time guidance and automation module within the Verint workforce engagement management (WEM) suite. The solution provides desktop-level automation that detects agent idle time, monitors adherence, delivers contextual guidance during interactions, and automatically routes tasks to agents during unproductive intervals. Verint Real-Time Work competes directly with standalone real-time automation platforms such as Intradiem in the emerging market for embedded contact center automation.^[1]

Real-Time Work represents Verint's entry into the real-time automation space — a category that has gained significant attention as contact centers seek to convert unproductive agent time (wait-for-call intervals, post-call idle periods, between-chat gaps) into productive activities such as training, coaching, back-office tasks, and wellness breaks. The solution leverages Verint's existing desktop analytics and WEM integration to deliver automation capabilities that would otherwise require a separate vendor deployment.

What It Does

Verint Real-Time Work operates at the intersection of workforce management, desktop analytics, and task automation. Its core function is detecting windows of agent availability in real time and automatically filling those windows with productive activities — a capability that directly addresses the chronic underutilization of agent time in contact centers.

Real-Time Desktop Guidance

The system monitors agent desktop activity and provides contextual guidance during live interactions:

Compliance prompts — Automated reminders when agents approach regulatory disclosure requirements, hold time thresholds, or scripting obligations.
Process guidance — Step-by-step workflow guidance for complex interaction types, reducing handling errors and training dependencies.
Knowledge surfacing — Contextual knowledge article recommendations based on detected interaction topics and customer attributes.
Next-best-action suggestions — AI-driven recommendations for upsell opportunities, issue resolution paths, or escalation triggers based on interaction context.

Desktop guidance operates through a lightweight agent desktop overlay or browser extension that monitors application state and interaction context without disrupting the agent workflow.^[2]

Automated Task Routing

When agents are between interactions — waiting for the next call, between chat sessions, or in post-interaction wrap-up — Real-Time Work automatically routes productive tasks:

Training delivery — Microlearning modules, compliance training, and skill development content pushed to agents during idle intervals.
Coaching sessions — Pre-recorded coaching content or self-paced coaching exercises delivered during off-queue time.
Quality evaluations — Peer evaluation or calibration exercises that leverage idle time for quality improvement.
Back-office tasks — Email responses, case updates, documentation, and other asynchronous work routed to agents during contact-handling gaps.
Administrative tasks — Schedule confirmations, timesheet approvals, and other administrative activities that would otherwise require dedicated time.

The routing engine considers multiple factors when selecting tasks:

Available time window — Predicted duration of the idle interval determines which tasks can fit.
Agent qualifications — Task assignment respects skill requirements, certification status, and authorization levels.
Priority weighting — Business-defined priorities determine which tasks take precedence when multiple options exist.
Completion tracking — Partially completed tasks resume when agents return to idle state.

Idle Time Utilization

The economic case for Real-Time Work centers on idle time conversion. In a typical inbound contact center:

Agents spend 10–30% of their paid time in idle or unproductive states (waiting for calls, between chats, extended wrap-up).
At an average fully loaded agent cost of $35–50 per hour, this represents $7,000–$15,000 per agent annually in unproductive labor cost.
Converting even a fraction of this time to productive activities — training, coaching, back-office work — generates measurable operational and financial returns.

Real-Time Work tracks idle time utilization metrics including:

Productive time conversion rate — Percentage of detected idle time converted to task execution.
Task completion rates — Volume and type of tasks completed during automated intervals.
Training hours generated — Training and coaching hours delivered through idle-time automation without requiring dedicated off-queue time.
Back-office throughput — Volume of back-office work processed by frontline agents during idle intervals.^[3]

Integration with Verint WEM Suite

Real-Time Work's primary architectural advantage is its native integration with the broader Verint WEM platform:

Workforce Management Integration

Schedule awareness — Real-Time Work reads agent schedules from Verint Workforce Management to understand planned activities, break times, and off-queue windows.
Adherence coordination — Automated tasks are delivered only during periods that don't conflict with scheduled customer-facing activities, preventing adherence violations.
Intraday optimization — When intraday conditions change (lower volume than forecast), Real-Time Work can automatically expand the task delivery window.

Quality Management Integration

QA-triggered coaching — When quality evaluations identify skill gaps, Real-Time Work can automatically deliver targeted coaching content during idle time.
Calibration exercises — Quality calibration tasks are routed to QA evaluators and agents during available intervals.
Compliance training — Regulatory training requirements triggered by QA findings are delivered automatically.

Desktop Analytics Integration

Application monitoring — Real-Time Work leverages Verint's desktop analytics to understand which applications agents are using, enabling intelligent task routing that avoids disrupting active work.
Process compliance — Desktop analytics detect process deviations and trigger real-time corrective guidance.
Performance correlation — Desktop activity data is correlated with interaction outcomes to identify process improvements.

Speech and Text Analytics Integration

Interaction context — Real-time analysis of interaction content informs guidance recommendations during live calls and chats.
Trend detection — Emerging interaction topics or customer sentiment shifts trigger updated guidance content.
Post-interaction analysis — Automated summarization and categorization reduce after-call work, freeing time for Real-Time Work tasks.

Comparison to Standalone Automation

The real-time automation market includes both embedded solutions like Verint Real-Time Work and standalone platforms like Intradiem. Understanding the trade-offs is important for organizations evaluating their options.