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Salesforce Clouds

Service Cloud

AQBEE implements Service Cloud solutions that unify voice, chat, email, social, and self-service into a single agent workspace. With Einstein AI for case classification, next-best-action recommendations, and Agentforce autonomous resolution, we help enterprises reduce case handling time, boost CSAT scores, and scale support operations efficiently.

Capabilities

What We Deliver

Omnichannel Routing & Agent Workspace

Configure skills-based routing across chat, email, phone, social, and messaging channels with a unified agent console that surfaces complete customer context.

Einstein Case Classification & Routing

Automatically categorise, prioritise, and route incoming cases using NLP models trained on your historical case data, reducing manual triage effort by up to 70%.

Knowledge Management & Self-Service

Build an AI-powered knowledge base with Einstein Search, auto-suggested articles, and Experience Cloud self-service portals that deflect routine enquiries.

Field Service Management

Optimise dispatching, scheduling, and mobile workforce management with Field Service Lightning, including AI-driven appointment booking and predictive maintenance alerts.

Service Analytics & SLA Tracking

Monitor real-time KPIs — CSAT, FCR, AHT, SLA compliance — with pre-built Tableau CRM dashboards and Einstein Discovery anomaly detection.

Swarming & Incident Management

Enable cross-functional swarming for complex issues with Slack integration, incident tracking, and automated escalation workflows.

Real-World Applications

How We Apply It

1

AI-Driven Claims Triage for Insurance

An insurance carrier uses Einstein Case Classification to auto-categorise incoming claims by type, severity, and coverage line, routing complex claims to specialist adjusters and auto-approving low-risk claims.

Key Highlight

Einstein NLP classification model trained on 500K+ historical claims, integrated with Agentforce for autonomous low-complexity claim resolution.

2

Proactive IoT Service for Manufacturing

A heavy-equipment manufacturer monitors sensor telemetry via Data Cloud and triggers predictive maintenance cases in Service Cloud before failures occur, reducing unplanned downtime by 45%.

Key Highlight

Data Cloud streaming ingestion of IoT signals combined with Einstein Discovery predictive models to anticipate component failures.

3

Unified Support for Global SaaS Platform

A technology company consolidates 12 regional support queues into a single omnichannel Service Cloud instance with multilingual Einstein Bots, achieving 40% case deflection and 15-point CSAT improvement.

Key Highlight

Einstein Bots with multilingual NLU, backed by Agentforce autonomous agents for tier-1 resolution and seamless handoff to human agents.

Case Studies

Service Cloud Success Stories

See how we've delivered measurable results with Service Cloud.

Intelligent Claims Automation for Property & Casualty Insurance
62% reduction
Claims Cycle Time
Insurance

Intelligent Claims Automation for Property & Casualty Insurance

Guardian Shield Insurance

Guardian Shield processed 180,000 property and casualty claims annually with an average cycle time of 23 days. The claims workflow was heavily manual — adjusters spent significant time on data entry, document review, and status updates. Customer satisfaction scores were declining as policyholders expected real-time transparency, and the company was losing market share to insurtechs offering faster, digital-first claims experiences.

Service CloudFlow OrchestratorEinstein AIAgentforce
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Cloud Contact Centre with Amazon Connect & Service Cloud Voice
9.2 → 5.8 min
Average Handle Time
Insurance

Cloud Contact Centre with Amazon Connect & Service Cloud Voice

TrueNorth Insurance Group

TrueNorth, a multi-line insurance carrier handling 45,000 inbound calls per month, was running a 10-year-old on-premise PBX system that required dedicated hardware, costly maintenance contracts, and a team of three full-time telecom engineers. The system had no integration with Salesforce — agents manually looked up callers, re-entered data, and toggled between five screens per call. Average handle time was 9.2 minutes, first-call resolution was 61%, and the company was paying $380K annually for PBX maintenance alone. Remote work was impossible, limiting hiring to agents near the single office location.

Amazon ConnectService Cloud VoiceSalesforce Service CloudAmazon Transcribe
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Telehealth and Remote Patient Monitoring Platform for Regional Health System
38% → 11%
Missed Appointment Rate
Healthcare

Telehealth and Remote Patient Monitoring Platform for Regional Health System

BridgeCare Health Network

BridgeCare served 18 rural counties where patients often drove 90+ minutes for routine follow-ups. The health system had no virtual care capabilities, and chronic disease patients — particularly those with diabetes and heart failure — were missing follow-up appointments at a 38% rate. Remote patient monitoring data from home devices sat in vendor portals that clinicians never checked, and readmission rates for chronic conditions were 22% above the state average.

Health CloudTwilio VideoMuleSoftEinstein AI
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