AI Engineering
Your engineers are already using AI. The question is whether your SDLC is. We embed with engineering teams, ship integrations into the stack, measure uplift, and leave the organization trained on the new workflow.
Practice Areas
Claude Code / CopilotRollouts that land in real workflows
AI in CI/CDFailure triage, fixes, pipeline agents
AI for QATest generation and regression triage
AI code reviewStandards, review quality, shorter cycles
ProductivityBaseline, scorecard, onboarding update
Engagements
Engineering DiagnosticSDLC audit and integration map
Engineering SprintOne AI-in-SDLC integration shipped
Engineering ProgrammeMultiple integrations across teams
Engineering OfficeMonthly productivity review and coaching