about project
Zendesk-native assist layer with guarded prompt templates and retrieval-augmented answers.
- Laravel service mesh
- Zendesk Sunshine + OAuth
- Pgvector embeddings
- Anthropic-compatible adapter
- Temporal-style job runners
Zendesk-native assist layer with guarded prompt templates and retrieval-augmented answers.
Highlights: Laravel service mesh, Zendesk Sunshine + OAuth, Pgvector embeddings, Anthropic-compatible adapter, Temporal-style job runners
Challenge
Tier-1 burnout; inconsistent answers referencing stale Notion shards.
Approach
Built ingestion for approved articles, deterministic guardrails per brand, escalation paths, thumbs feedback loop, multilingual toggle.
Outcome
First-response quality improved materially; escalation rate stable with higher CSAT.
Metrics snapshot
Handle time (simple): −19%
CSAT uplift: +0.37
Stale answer incidents: −68%
Case
study
Approach
How we framed the challenge, shipped the solution, and measured outcomes.
Challenge
Our approach
Results
Key metrics
−19%
+0.37
−68%
Work in stages
Requirement Gathering & Discovery
1
Project
However, all complete IoT systems are the same in that they represent the integration of four distinct components: sensors/devices, connectivity, data processing, and a user interface.
IOT Projects software
The software then analyzes and transmits the data to users via an app or website.
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