about project
Zendesk/OpenAPI copilot proposing macros, intents, and safe human-in-loop sending.
- python
- langchain
- openai-compatible
- celery
Tier-one agents scrolled macro libraries while SLA clocks burned.
We trained intent classifiers grounded in approved snippets with refusal paths for sensitive topics.
Suggested replies cite knowledge article IDs supervisors can veto in one click.
Quality dashboards spotlight drift weekly.
Features
- Grounded answer templates with citations
- Human approve/deny instrumentation
- PII scrubbing pipelines
- Drift dashboards by queue
- Slack escalation for risky topics
Case
study
Approach
How we framed the challenge, shipped the solution, and measured outcomes.
Challenge
Stakeholders lacked a single dependable source of KPI truth.
Our approach
Shipped dashboards with guardrails and explicit ownership.
Results
New hire onboarding time shortened.
Key metrics
−19%
up: 88%
0
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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