Zendesk Solutions & Systems Architect

Support systems built around how the business actually works.

Zendesk architecture, AI, automation, custom applications, integrations and connected systems, designed to solve real operational problems rather than add more process.

From new implementations and platform redesigns to custom apps, API-driven workflows and complex troubleshooting, the work spans the full support ecosystem.

100+ Zendesk projects and platform engagements
End-to-end Architecture, solution design and delivery
Beyond native AI, custom apps, APIs and connected systems
The problems behind the platform

Most Zendesk problems are not really Zendesk problems.

They usually start with a broken process, disconnected systems, unclear ownership, too much manual work or a platform that has grown without an architecture behind it.

01
“Our agents have to look in five places before they can answer one ticket.”
Bring the context into the workspace through custom applications, integrations, customer data and cleaner ticket architecture.
02
“Zendesk works, but nobody wants to touch the automations anymore.”
Audit the logic, understand the dependencies, simplify overlapping rules and rebuild around a predictable workflow model.
03
“Support and engineering are constantly chasing each other for updates.”
Connect the systems properly so issue creation, linking, ownership and status changes move between teams without manual follow-up.
04
“We have AI, but we don't trust it enough to let it handle more.”
Design the AI around controlled knowledge, clear dialogue paths, meaningful context and structured handoff when automation should stop.
05
“Zendesk doesn't quite do what this workflow needs.”
Extend the platform with ZAF, Custom Objects, APIs, webhooks, Action Flows or external processing rather than forcing an unsuitable workaround.
Platform architecture

Zendesk across the full support lifecycle.

The work covers the platform from first implementation through mature, multi-system environments with AI, custom development, complex routing and operational reporting.

01

Implementation & Omnichannel Architecture

New environments designed from the customer journey backwards, covering channels, teams, ownership, permissions, routing and the support experience.

Email Messaging Live Chat Voice Social Help Center Sunshine Conversations Multi-brand
02

Agent Experience & Platform Optimization

Existing environments redesigned to remove friction, expose the right information and make day-to-day support work easier to understand and maintain.

Agent Workspace Ticket Views Macros Ticket Forms Custom Fields Organizations Roles Permissions
03

Routing, Automation & Workflow Architecture

Business logic built around ownership, urgency, service commitments and operational capacity, without creating a maze of competing rules.

Omnichannel Routing Skills Capacity SLAs Triggers Automations Escalations Queues
04

AI Agents, Advanced AI & Copilot

Customer-facing AI and agent-side intelligence designed around what should be automated, what should remain controlled and when a human needs to take over.

AI Agents Advanced AI Copilot Dialogues Procedures Intent Knowledge Escalation
05

Custom Apps & Support Solutions

When native configuration stops being enough, custom applications bring operational context, actions and structured workflows directly into Zendesk.

ZAF App Builder Sidebar Apps Custom Objects Agent Tools Ticket Context Role Logic
06

APIs, Integrations & Action Flows

Zendesk connected to the systems around it, with validation, synchronization and recovery designed into the workflow rather than added later.

REST APIs Webhooks Action Flows Event Processing Two-way Sync Custom Actions Data Validation
07

Reporting, Analytics & Data Architecture

Reporting designed into the platform from the start, with cleaner operational data and dashboards that answer actual business questions.

Explore Dashboards Custom Metrics CSAT Talk Reporting Data Recovery Reconciliation WFM
08

Knowledge, Help Center & Self-Service

Knowledge structured for customers, agents and AI, with appropriate visibility, navigation and self-service journeys.

Zendesk Guide Knowledge User Segments Help Center Community AI Retrieval Customer Forms
09

Security, Governance & Platform Change

Changes planned around permissions, dependencies and downstream impact, with testing before production rollout.

Roles Permissions SSO Sandbox Audits Change Control Testing
10

Architecture, Troubleshooting & Solution Design

Complex platform issues traced across configuration, integrations and external systems until the actual source of the problem is understood and resolved.

Architecture Audits Root Cause Analysis Redesign Migration Platform Strategy Technical Discovery

When configuration is not enough, the solution should not stop there.

Some of the most valuable support improvements happen between systems. Custom apps, APIs, event-driven automation and carefully designed integrations can remove work that agents should never have been doing manually in the first place.

Selected solutions

Built around the problem, not the feature list.

Client and company details are intentionally removed. The focus here is the problem, the solution architecture and the operational change created by the work.

01

Support Intelligence Assistant

A ticket-side support experience designed to bring together the information an agent needs to understand a case, including relevant context, history and operational data, without searching across multiple systems.

Zendesk App Builder · AI · Agent Workspace · Ticket Context
Why it matters

Less context switching, faster case understanding and a stronger foundation for consistent agent-assisted resolution.

02

Intelligent Ticket Consolidation

A support automation that identifies related conversations, validates whether they belong together and safely consolidates the context into the correct ticket rather than blindly merging everything from the same customer.

Zendesk · Conversation Logic · Automation · Event Processing
Why it matters

Reduces duplicate work and fragmented conversations while preserving a clearer source of truth for both the agent and the customer.

03

Customer & Organization Context Workspace

An agent-side application that surfaces organization-level information directly inside the ticket, removing the need to repeatedly leave the conversation to inspect separate customer or account records.

Zendesk Apps · Organization Data · Agent Workspace
Why it matters

Important account context stays visible at the point of work, making prioritization and account-aware support easier.

04

Agent Notification & Action Center

A centralized workspace for surfacing operational signals, actions and important ticket conditions without relying on scattered notifications or agents remembering where to look.

Zendesk Apps · Notifications · Workflow Logic · Agent Experience
Why it matters

Gives agents a clearer view of what needs attention and reduces the risk of important support actions being missed.

05

Structured Operational Workflow App

A custom Zendesk sidebar application backed by Custom Objects, with conditional visibility, role-based access, unique records, structured operational data and linked supporting media.

ZAF · Custom Objects · Conditional UI · Role-Based Access
Why it matters

Replaces an unstructured manual process with a controlled workflow that lives directly alongside the support ticket.

06

Support ↔ Engineering Workflow Automation

Zendesk and Jira connected so support can create and link engineering work automatically, pass the right customer context and keep status changes synchronized across both systems.

Zendesk · Jira · Auto Creation · Auto Linking · Status Sync
Why it matters

Less manual handoff work, fewer status-chasing conversations and better visibility between support and engineering.

07

External Operations & Ticket Automation

External business data evaluated before tickets are created, allowing the workflow to identify genuine support cases, enrich them with context and route them correctly without manual checking.

APIs · Zendesk · Commerce Systems · Automation · Cloud Processing
Why it matters

Removes repetitive operational checks and prevents support teams from spending time on cases that should never have entered the queue.

08

AI Agent & Copilot Architecture

AI workflows designed across messaging and email with structured dialogue paths, knowledge controls, intent and reason classification, context handoff and defined human escalation points.

Advanced AI · AI Agents · Copilot · Dialogues · Knowledge
Why it matters

Expands automation without treating AI as a black box, keeping control around answer quality, risk and escalation.

09

Integration Recovery & Data Reconciliation

Incomplete integrations investigated end to end, with missing records identified, failed events recovered, duplicate creation controlled and external source data reconciled against Zendesk.

Zendesk API · Data Recovery · Reconciliation · Workflow Recovery
Why it matters

Restores missing operational records and confidence in the data while creating a safer process for future failures.

Connected ecosystem

Zendesk at the center, other systems where the workflow needs them.

Customer support rarely lives inside a single tool. The surrounding CRM, engineering, commerce, automation and project systems need to work as part of the same operational flow.

Support Platforms

Zendesk Freshdesk Gorgias Intercom

CRM & Engineering

Salesforce Jira Atlassian Custom CRMs

Commerce, Forms & Automation

Shopify Zapier Typeform Google Sheets Cloudflare

Collaboration & Operations

Slack Monday.com ClickUp Trello GitHub
How the work gets done

Understand the operation first. Design the system around it.

Features come later. The first job is understanding the people, workflow, data, dependencies and edge cases that the platform needs to support.

01

Discover

Understand the operation, customer journey and what is actually causing friction.

02

Architect

Map the workflow, data, routing, integrations and reporting model.

03

Build

Configure the platform and develop what the native product cannot provide.

04

Validate

Test normal paths, edge cases, permissions and downstream impact.

05

Improve

Watch how the system performs in real use and keep removing friction.

Platform philosophy

A good support system should make the complicated work feel simple.