Agentforce Observability

Agentforce Observability provides a unified mission control for all your Salesforce AI agents. Monitor, analyze, and optimize performance in real-time with enterprise-grade insights

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Agentforce Observability

Master Your AI Agents with Complete Visibility

Gain unprecedented visibility into every AI agent interaction. Track performance metrics, identify bottlenecks, and optimize your digital workforce with data-driven insights. Our platform provides real-time monitoring, advanced analytics, and actionable intelligence to ensure your agents perform at their peak.

Real-Time Monitoring

Live dashboards with instant updates

Deep Analytics

Comprehensive performance insights

Enterprise Grade

Secure, scalable, reliable

Comprehensive Features

Everything you need to manage AI agents effectively
Agent Performance Overview

Monitor key metrics including response times, resolution rates, and customer satisfaction scores in real-time.

Agent Effectiveness Metrics

Track productivity, customer satisfaction, and adherence metrics with detailed performance analytics.

Session Tracing & Analysis

Drill into individual agent-customer interactions with conversation flow visualization and intent clustering.

Quality Overview

Comprehensive quality scoring including call quality, compliance, and CSAT metrics.

Data Explorer

Advanced data exploration for sessions, topics, and actions with powerful filtering and search capabilities.

Consumption & Cost Data

Track usage patterns and costs with unit-level performance data across all your agents.

All Your Observability Dashboards

Performance Overview

Agent Analytics

Comprehensive analytics dashboard showing agent performance overview, effectiveness metrics, quality scores, and data explorer for deep session analysis.

Session Tracing & Intent Analysis

Session Tracing & Intent Analysis

Visualize conversation flows, cluster conversations by intent, analyze topics, and review quality scores for each agent-customer interaction.
Performance Overview & Cost Tracking

Performance Overview & Cost Tracking

Track KPIs, response times, resolution rates, satisfaction scores, and cost breakdown with performance heatmaps and trend analysis.

Assess Your AI Agent Readiness

Take our quick assessment to understand your current AI agent maturity level and discover how Royal Cyber’s Agentforce Observability can help you optimize performance.
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Adoption Roadmap

Phase 01

Assessment

Week 1-2

Evaluate current agent setup and identify optimization opportunities.

Phase 02

Implementation

Week 3-4

Deploy Agentforce Observability and integrate with systems.

Phase 03

Optimization

Week 5-8

Fine-tune agents based on real-time insights and data.

Phase 04

Scale & Expand

Ongoing

Expand to additional agents with proven results.

Success Stories

Retail – Global Fashion Brand
Background

A worldwide fashion retailer with a strong online presence serving millions of shoppers annually. Their Salesforce Agentforce AI was deployed to automate customer support for order tracking, returns, cancellations, and FAQs.

Business Challenges
  • Unable to measure if AI interactions were accurate or completed successfully.
  • High escalation rate to live agents during peak shopping.
  • Little visibility into dropped or failed Agentforce sessions.
  • AI responses occasionally caused customer dissatisfaction, leading to revenue loss
Solution We Provided
  • Deployed Agentforce Observability Dashboard for session analytics.
  • Configured Deflection Metrics to differentiate resolved vs transferred sessions.
  • Integrated session tracking & intent analysis to map topic accuracy.
  • Implemented Quality Overview and Hallucination Monitoring to flag incorrect responses.
Key Highlights
  • 35% increase in AI deflection rate (fewer escalations).
  • Real-time insights reduced manual QA efforts by 40%.
  • Session analysis enabled fast identification of high-failure intents.
  • Improved customer satisfaction due to more accurate AI responses.
Global Fashion Brand
Financial Services – Regional Bank
Background

A mid-sized bank deploying Agentforce AI for internal customer support, assisting with balance inquiries, loan queries, and transaction alerts.

Business Challenges
  • No governance around AI decisions impacting compliance.
  • Escalations to human agents were costly and inconsistent.
  • Risk of incorrect financial guidance without traceability.
  • Agents lacked visibility into patterns of AI failures.
Solution We Provided
  • Rolled out Governance & Compliance Tracking with audit logs.
  • Added session lineage mapping for traceability into agent decision paths.
  • Built Quality Scoring & Confidence Metrics for sensitive financial queries.
  • Designed intent classification dashboards for proactive refinement.
Key Highlights
  • 50% reduction in compliance exceptions via audit visibility.
  • Faster escalation triage due to prioritized intent alerts.
  • Trained AI models with high-risk intent data for greater accuracy.
  • Business units restored confidence in AI outputs.
Financial Services
Healthcare – National Clinic Network
Background
A network of clinics managing patient scheduling, insurance pre-approval, and provider FAQs on a Salesforce portal enhanced with Agentforce AI.
Business Challenges
  • Patient support interactions were difficult to track for quality outcomes.
  • Medical and insurance queries needed strict accuracy tracking.
  • Internal teams lacked visibility into critical session failures affecting patient flows.
  • No real time triage for abnormal behavior or negative sentiment.
Solution We Provided
  • Set up Healthcare-specific intent tracking (appointment, insurance, provider lookup).
  • Integrated sentiment analysis to flag critical or negative interactions.
  • Built Care-Impact dashboards to show effect of AI on patient flow.
  • Implemented alerting for anomaly sessions (e.g., repeated fallback responses).
Key Highlights
  • 30% faster resolution times for patient scheduling issues.
  • Sentiment alerts reduced negative experiences by 25%.
  • Provider lookup accuracy increased by tuning intents.
  • Critical session monitoring ensured safe and compliant interactions.
Healthcare – National Clinic Network
Education – National University System
Background
A large multi-campus university deploying Agentforce AI for student services, enrollment queries, course FAQs, and financial aid assistance.
Business Challenges
  • High volumes of student questions during peak registration.
  • No clear visibility into session drop-offs or failed answers.
  • Mixed quality of information due to untracked intent accuracy.
  • Need to measure student satisfaction from AI responses.
Solution We Provided
  • Built student-centric session analytics (enrollment, tuition, schedules).
  • Implemented quality & confidence dashboards for academic information.
  • Added sentiment & escalation alerts during peak registration phases.
  • Automated reporting tied to academic calendar events.
Key Highlights
  • Student satisfaction improved through targeted intent refinement.
  • Session completion rates increased by identifying topic gaps.
  • Peak period response quality remained consistent.
  • Academic teams accessed live dashboards for insight.

Why Choose Royal Cyber?

Enterprise Expertise

20+ years of experience delivering enterprise-grade solutions to Fortune 500 companies

Security First

Enterprise-grade security with SOC 2 compliance and data encryption

Customizable Solutions

Tailor the platform to your specific business needs and workflows

Mainframe
24/7 Support

Dedicated support team available round-the-clock to ensure your success

Scalable Infrastructure

Handle millions of agent interactions with our cloud-native architecture

Continuous Innovation

Regular updates and new features based on customer feedback and market trends

Frequently Asked Questions

Agentforce Observability is a comprehensive platform that provides real-time monitoring, analytics, and optimization tools for AI agents. It gives you complete visibility into agent performance, customer interactions, and operational metrics.
Session tracing allows you to drill into individual agent-customer interactions, viewing the complete conversation flow, intent clustering, sentiment analysis, and quality scores for each exchange.
You can track response times, resolution rates, customer satisfaction scores, agent productivity, compliance metrics, conversation quality, topic analysis, and cost per interaction.
Yes, our cloud-native architecture is designed to handle millions of agent interactions across multiple channels and geographies with consistent performance.
Most implementations are completed within 4-8 weeks, depending on complexity. We provide dedicated implementation support throughout the process.
We maintain SOC 2 Type II compliance, end-to-end encryption, role-based access control, and regular security audits to protect your data.

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