Service Cloud
Service Cloud for high-volume support teams.
Routing that happens on its own, escalations that fire before SLAs breach, and agents who open every case with the context already in front of them.
We start with automation.
Most Service Cloud implementations configure the basics and call it done. We aim further: cases reach the right agent automatically, escalations fire before SLAs breach, and queue management stops eating your team’s day.
We pair that with Slack integrations that bring engineering and product into complex cases without leaving their tools, and self-service that deflects what customers can resolve themselves.
What a Service Cloud engagement covers.
Omnichannel Case Routing
We configure Omni-Channel to assign each case to the right agent based on skill, capacity, and channel. Email, chat, phone, and social all land in one agent workspace.
Built with Omni-Channel, Service Cloud, Apex
Outcomes
- Reduced average handle time
- Skill-based routing out of the box
- Unified agent desktop across channels
Case Automation & Workflows
Auto-assignment rules, escalation paths, SLA enforcement, and AI-assisted triage that keep cases moving without manual intervention. Built with Flows and Apex where complexity demands it.
Built with Flow, Apex, Einstein
Outcomes
- Fewer cases stuck in queues
- Consistent SLA adherence
- Reduced tier-1 manual effort
Slack & Collaboration Integration
Swarming workflows that pull the right experts into a Slack channel the moment a complex case lands. Case updates, escalations, and approvals surface directly in Slack with no context switching.
Built with Slack, Service Cloud, Swarming
Outcomes
- Faster resolution on complex cases
- Engineering and support aligned in real time
- Native Salesforce-Slack data sync
Self-Service & Deflection
Experience Cloud self-service portals backed by a structured knowledge base, so customers can resolve common issues before they become tickets. Einstein Article Recommendations surface the right content at the right moment, which cuts inbound volume without hurting resolution quality.
Built with Knowledge, Experience Cloud, Einstein
Outcomes
- Measurable inbound ticket reduction
- 24/7 resolution for common issues
- Knowledge content tied to case data
Knowledge Base Architecture
A well-built knowledge base serves two audiences: customers who need to self-serve, and agents who need answers fast. We design article taxonomy, authoring workflows, and governance processes that keep content accurate and searchable for both. Einstein then surfaces the right articles inside the agent console and on your self-service portal.
Built with Salesforce Knowledge, Einstein, Experience Cloud
Outcomes
- Structured article taxonomy for internal and external use
- Agent-facing knowledge surfaced in the case console
- Content gap analysis driven by case deflection data
How we approach support builds.
Automation before headcount
We look for the manual steps in your support operation and eliminate them first. Routing, triage, and escalation shouldn't require human judgment on every case.
Omnichannel done properly
Out-of-the-box omnichannel needs careful capacity model design to work at scale. We spend real time on the routing logic and capacity models before anything goes live.
Slack as a first-class channel
We build Slack integrations that go well beyond notifications: swarming, escalation threads, and case actions your agents can take without leaving the conversation.
Measurable deflection strategy
Knowledge base and self-service only work if the content is connected to real case data. We design it so the articles that exist match the issues customers report most often.
Tools we use
- Omni-Channel Routing
- Apex & Flow Automation
- Einstein Article Recommendations
- Slack for Service Cloud
- Service Cloud Voice
- Salesforce Knowledge
- Experience Cloud (Self-Service)
- CRM Analytics for Service
Tell us what your support team does by hand.
Share your current setup, your case volume, and the manual work your team repeats every day. We’ll show you what can be automated.