BuildWright is an AI-powered support investigation platform that automatically diagnoses software bugs from ticketing data before engineers get involved. It analyzes issues to identify root causeshare and suggests fixes directly within existing ticketing systems, eliminating time spent on manual investigation. The platform operates at adjustable trust levels—Shadow, Copilot, or Autopilot—so teams control how much autonomy the AI has.
- Artificial Intelligence
- AI Agents
- Developer Tools
- Enterprise Software
- Software Only
Funding
Funding not disclosed
Founders
Product
Problem
Support engineers spend roughly 70% of their time on ticket investigation rather than fixing issues, and an average of 42% of engineering time goes to maintenance and debugging. Root-cause analysis can take one to four hours per ticket, creating a significant bottleneck for engineering, support, and customer success teams that slows down resolution and drains productivity.
Solution
BuildWright automates the investigation phase of support tickets by analyzing issue data and generating root-cause diagnoses before an engineer ever picks up the ticket. The diagnosis is delivered directly inside the ticketing systems engineers already use, requiring no new dashboards or processes. BuildWright operates at adjustable trust levels—Shadow, Copilot, and Autopilot—that let organizations decide how much autonomy the AI has, with human approval required before anything posts in most cases. In a real test against an ERPNext bug, BuildWright correctly identified the exact file and method that the merged fix changed, demonstrating the accuracy of its diagnostic capability.
Target Audience
BuildWright serves engineering leaders, support teams, and customer success organizations at enterprises that handle high volumes of software tickets and need to reduce the time spent on root-cause investigation.
Features
- Automated root-cause diagnosis that names specific files and methods implicated in a bug
- Direct integration with existing ticketing systems, eliminating the need for new tools or dashboards
- Three trust levels (Shadow, Copilot, Autopilot) with per-run visibility and enforced approval gates
- Shadow mode that investigates and drafts diagnoses without posting anything, allowing teams to observe AI reasoning
- Autopilot mode that earns autonomy per solution type based on proven performance, flagging cases that still require human review