Support infrastructure
built to scale.
Your support team shouldn't be managing a case queue with manual triage and disconnected channels. We build Service Cloud implementations that route intelligently, automate the repetitive, and give agents the context they need to resolve faster.
Build Your Service CloudThe Approach
Automation-led service operations.
Most Service Cloud implementations configure the basics and call it done. What we deliver is a support operation where cases reach the right agent automatically, escalations fire before SLAs breach, and your team spends time solving problems, not managing queues.
We pair that with Slack integrations that bring your engineering and product teams into complex cases without leaving their tools, and self-service portals that deflect the issues customers can resolve themselves.
Capabilities
The pillars of a modern support operation.
Omnichannel Case Routing
Intelligent routing that assigns cases to the right agent based on skill, capacity, and channel. Email, chat, phone, and social handled in a single unified workspace.
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.
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.
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 that lets customers resolve issues before they become tickets. Einstein Article Recommendations surface the right content at the right moment, reducing inbound volume without reducing quality of resolution.
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 — with Einstein surfacing the right articles inside the agent console and on your self-service portal.
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
Why Warman Tech
Built for how support teams actually work.
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 architect the routing logic, not just flip the switch.
Slack as a first-class channel
We build Slack integrations that treat it as a genuine collaboration layer: swarming, escalation threads, and case actions. Not just notifications.
Measurable deflection strategy
Knowledge base and self-service only work if the content is connected to your actual case data. We design it so the articles that exist match the issues customers actually have.
Tech We Use
Native Salesforce, no middleware crutches.
Build your Service Cloud with Warman Tech.
Tell us about your current support setup, your case volume, and the manual work your team is doing every day. We'll show you what's automatable and what a properly built Service Cloud operation looks like.
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