AI & Automation
Custom AI Solutions
AI built around your operation: classification models, multi-step reporting engines and custom agents, designed with scalability, security and measurable return in mind.
- Format
- Remote project
- Duration
- Scoped per project
- Deliverable
- AI service + docs
Who it's for
- 01Teams whose needs go beyond what native Zendesk AI covers.
- 02Companies that want AI insights across tickets, chats and calls.
- 03Product and operations teams wanting AI decisions inside their own systems.
Problems it solves
- 01Thousands of tickets a month and no reliable way to know what they are about.
- 02Manual reporting on trends, sentiment and root causes.
- 03AI pilots that never made it into a production workflow.
What you get
- Use case design with success metrics and guardrails
- Ticket classification or extraction models on OpenAI, Claude or other LLMs
- AI reporting engines that summarize trends and root causes
- Integration into Zendesk via apps, webhooks or middleware
- Monitoring, cost controls and evaluation sets
- Technical documentation and handover
How it works
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01
Kick-off
We pick the use case, review your most challenging requests and map the external tools and workflows involved.
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02
Prototype
A working prototype on your real data, evaluated against agreed quality criteria.
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03
Production build
Hardened, monitored and integrated into Zendesk and your systems.
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04
Evaluate and tune
Quality and cost are measured and the prompts or models are tuned over time.
“Cedric is supporting our company for almost 3 years now. He has developed various Zendesk web apps and integrations for us, which have made our everyday lives a lot easier. Beyond Zendesk, he is a first-class, solution-oriented contact for any kind of software development.”
FAQ
OpenAI, Anthropic Claude and others, chosen per use case by quality, cost and data protection requirements.
Where you need it to be. EU processing and no-training agreements are part of the provider selection.
With evaluation sets built from your own tickets, checked before launch and monitored afterwards.
Yes. The code, prompts and evaluation sets are documented and handed over.