CRO AI AGENT
This project transformed raw GA4 data into an action-oriented assistant for growth teams. We delivered the platform from concept framing through production operations.
Designing the intelligence layer around business questions
We did not begin with model selection. We began with recurring CRO questions from growth teams and mapped how each should be answered with trustworthy context. That informed the assistant UX, data contracts, and response quality rules.
Engineering data pipelines, agent logic, and product surfaces
We built ingestion and normalization for GA4 streams, implemented prompt orchestration and retrieval workflows, and connected the output to usable product surfaces. The result was a system that explains what changed, why it matters, and what to test next.
Deployment hardening and active product management
After production release, we handled observability, prompt/version governance, and reliability tuning under live traffic. Ongoing management includes model behavior reviews, cost-performance balancing, and roadmap-led enhancements.
What delivery looks like with us
01. Design-first implementation
We model your real operational flow before writing automations.
02. Safe rollout strategy
New automations are released in stages so teams can adapt without disruption.
03. Production-ready deployment
We set up alerting, logs, and safeguards for reliable day-to-day usage.
04. Managed evolution
We continuously tune and expand automations as business rules change.