AI Integration
A focused AI agency engagement that connects models, documentation, and workflow data so teams can automate routine work without replacing the tools they rely on.
Client
CodaBridge
Industry
AI Integration
Service
AI Workflow Integration
Timeline
6 weeks to live
Team Involved
4 engineers, 1 maintainer
CodaBridge’s support and developer-relations teams were reviewing workspace questions manually across tickets, forums, and documentation. Similar issues were repeatedly escalated because the first response lacked the right technical context.
The queue grew with every new integration, making it difficult for maintainers to protect time for product work.
AETHER connected incoming questions to workspace metadata, documentation, and known issue patterns before routing them to a maintainer. Straightforward requests receive a grounded answer immediately.
Complex cases arrive with the relevant logs, links, and history already summarized, reducing the back-and-forth needed to begin an investigation.
The team resolved most routine questions without escalation and reduced review time by nearly half. Maintainers now see fewer duplicate requests and better-prepared technical issues.
Documentation adoption improved because answers point people to the exact guide or example that matches their situation.
Evan Brooks
Head of Developer Experience
How long does a typical AI project take?
Most projects take 5–7 weeks from discovery to go-live. A focused pilot can start in 1–2 weeks, while larger multi-workflow rollouts are typically delivered in 2–3 week phases.
Do we need our own AI or tech team?
What happens if the AI gets something wrong?
How soon can we start working on our AI project?
(Newsletter)