Support Platforms
Implementation and optimization across channels, forms, routing, SLAs, permissions, queues and agent workflows.
Zendesk-focused architecture for customer support and IT service operations, backed by hands-on work across Freshdesk, Jira, Gorgias and Intercom. The work spans platform implementation, workflow design, SLAs, AI, automation, reporting, APIs, integrations and custom solutions, from discovery through rollout and ongoing optimization.
Platforms, workflows, data and integrations designed as one connected environment rather than isolated configuration.
Implementation and optimization across channels, forms, routing, SLAs, permissions, queues and agent workflows.
Existing environments untangled, redesigned and scaled across workflows, data, permissions, integrations and service operations.
Support connected with engineering, CRM, commerce and operational systems so context and status move reliably.
AI agents, Copilot, triggers, automations, Action Flows and workflow logic used to remove repetitive handling.
Support tools, operational utilities and connected app experiences created when standard functionality does not fully meet the need.
Reporting around service performance, SLA health, ticket demand, escalations, CSAT and operational trends.
From the customer journey to the agent workspace and the systems behind them, each layer is shaped to work as one operating model.
Clear entry points and consistent journeys across email, messaging, voice and forms.
Context, workflows and tools brought into the workspace so teams can handle issues with less friction.
Routing, SLAs, automation and escalation designed for predictable day-to-day delivery.
Connected systems and structured workflows that can evolve with teams, brands and service models.
Representative work is anonymized. The focus stays on the problem, the architecture and what changed for the operation.
Advanced AI and Copilot workflows across messaging and email, with controlled dialogues, knowledge guidance, product-specific logic and structured escalation to agents.
Automated Jira creation, linking and Zendesk updates with conditional routing across different request paths.
Customer forms and incoming requests validated, routed and mapped into Zendesk, with recovery paths when data is missing or processing fails.
Zendesk voice architecture across IVR, routing, callbacks, voicemail, agent availability and fallback paths.
Explore reporting across volume, SLAs, escalations, response activity, handling time, CSAT and service trends.
Operational health, customer context, scale and cleaner queues.
First reply SLA expires in 18 minutes. Ticket is still unassigned.
Enterprise billing request routed outside the expected specialist group.
Connected CRM update failed after retry attempts.
Surfaces SLA risk, routing exceptions, failed automations and integration problems in one operational view.
Brings account health, support history, renewal risk and connected CRM, commerce and engineering context into the agent workspace.
Safely executes approved workflows across large ticket sets with preview controls, processing visibility and run history.
Identifies related tickets, keeps the primary conversation clear and consolidates duplicate work into the correct thread.
Zendesk is the core specialization, with implementation and administration experience across Freshdesk, Jira, Gorgias and Intercom.
Used alongside the core support platforms for integrations, automation, commerce, CRM, collaboration, data and operational workflows.
Experience spans customer support, technical support, internal service and multi-system operations across varied operating models.
Customer service, order workflows and support operations.
Warranty, troubleshooting and replacement workflows.
Technical support, engineering escalation and internal service.
Support operations requiring tighter technical coordination.
Structured intake, service workflows and operational visibility.
Implementation, optimization and connected support systems.
Routing, SLAs, queues and reporting across distributed teams.
Service management patterns aligned with ITSM practices.
A structured path from understanding the environment to validating how it behaves in day-to-day use.
Pain points, users, constraints and dependencies
Workflows, data, ownership and service controls
Platforms, automation, APIs and context
Edge cases, dependencies and failure paths
Adjustments as the operation and requirements change