Service Cloud

The Problem with Most Service Operations

Your support team is stretched. Agents jump between five systems to find context that should be in one place. Cases get routed to the wrong queue, sit unassigned, or bounce between teams before a customer gets a response. You can't scale by hiring forever — and your customers won't wait.

Great customer service isn't just fast. It's smart. Digital Mass builds Service Cloud environments that route the right case to the right agent with the right context, every time — and deploy AI agents that handle the volume your human team doesn't have to.

What We Build

From case routing to autonomous AI agents, we build the full service operations stack on Salesforce — architected for your actual service tiers, not out-of-the-box defaults.

Case Management Architecture

We design custom case lifecycles, SLA enforcement rules, escalation logic, and priority queues built around your actual service tiers — not out-of-the-box defaults. Every case gets the right treatment based on type, account tier, entitlement, and urgency.

Omni-Channel Routing

Unified queue management across phone, email, chat, SMS, social, and messaging apps. Skill-based routing that matches case complexity to agent capability — not just whoever's available. Capacity management that prevents queue flooding and burnout.

Knowledge Management

Article authoring workflows, versioning, feedback loops, and Einstein Article Recommendations surface the right answer at the moment an agent needs it. Deflect common cases to self-service before they become tickets.

Agentforce for Service

Deploy autonomous AI agents that handle Tier 1 inquiries end-to-end across every channel — and escalate intelligently with full context when human judgment is needed. Agents that work 24/7, never have a bad day, and get better over time as your knowledge base grows.

Field Service Lightning (FSL)

For organizations with technicians in the field: scheduling optimization, mobile workforce management, parts and inventory tracking, and work order-to-invoice automation. Your field team has what they need; your dispatchers have visibility.

Self-Service Portals

Experience Cloud customer portals with case submission, knowledge base access, order status, and community-driven support. When customers can help themselves, your agents can focus on the cases that actually require expertise.

Common Pain Points We Solve

• "Our agents spend half their time looking for information across multiple systems."
• "We have six support channels but no unified view of what customers have already told us."
• "We can't scale support without hiring — and we can't keep hiring."
• "Our field technicians are scheduling themselves in spreadsheets."
• "We launched a customer portal but no one uses it."

Outcomes

• First-contact resolution rates increase when agents have complete customer context at the moment of contact
• CSAT improves with consistent, fast responses across every channel
• Tier 1 case volume handled by Agentforce without human involvement
• Field technician utilization improves with optimized scheduling and mobile access to service history
• Customer effort scores drop with well-designed, actually-useful self-service

Typical Timeline

Core Service Cloud deployments run 8–16 weeks. Add Field Service Lightning for 12–20 weeks, or layer Agentforce Service Agent for an additional 6–10 weeks on top.

Weeks 1–2: Sprint Zero

Case volume and channel audit, SLA documentation, current routing assessment, knowledge base inventory, and delivery roadmap. We map every queue and escalation path before touching configuration.

Weeks 3–8: Core Service Cloud

Case management architecture, SLA rules, queue setup, omni-channel routing, agent workspace configuration, and email-to-case / web-to-case channels. Knowledge base foundation if in scope.

Weeks 9–14: AI, Knowledge & Self-Service

Agentforce Service Agent configuration, Einstein Article Recommendations, Knowledge authoring workflows, and Experience Cloud self-service portal — if included in scope.

Weeks 15–20: FSL & Launch

Field Service Lightning scheduling rules, mobile app configuration, work order automation (if in scope), UAT, training, and production go-live with hypercare support.

Technology

Salesforce Service Cloud · Omni-Channel · Einstein Bots · Agentforce Service Agent · Field Service Lightning · Experience Cloud · Knowledge · Live Agent · Einstein Article Recommendations · Einstein Case Classification · Tableau