Build faster with Codex
Real impact comes when Codex is embedded into your production SDLC — accelerating features, tests, and migrations into a pace your roadmap has never seen before.
Individual adoption is only the first step. Scaling organizational throughput is the real challenge
The companies pulling ahead aren’t just experimenting. They’re rethinking how they work. They’re realigning strategy, tools, and talent around a new way of operating— faster, smarter, and powered by AI at the core. We built Eliza to help them do it.
Scattered usage, no leverage
- Inconsistent setup across teams
- No governance or security posture
- No evidence leadership can defend
- Gains stay individual, not systemic
End-to-end governed agentic SDLC
- Embedded into your tools
- Compliant with your security posture
- Backed by metrics that matter
- Fully autonomous development from trigger to PR
A step-change in engineering outcomes
Every engagement is measured on outcomes that matter to the business — with data you can stand behind.
Do more,
Same team
Scale without scaling headcount
Your team's capacity expands. No recruiting cycles, no onboarding ramp, no added burn.
2–5×
Faster delivery
Ship faster, capture revenue sooner
Launch sooner. Capture value earlier.What took quarters takes weeks.
Better code,
Better experience
Cut defects and tickets, lift NPS
Fewer defects in production. Lower support ticket volume. Measurable improvement in customer experience.
What you can expect.
Four outcomes every engagement is built to deliver.
Your roadmap, faster
Shorter PR cycles, more features per sprint, and legacy migrations completed in weeks on the work that matters most to your roadmap.
Secure by default
SSO, policy controls, access tiers, and audit trails. Fits your security model—so adoption scales without risk.
Embedded, not bolted on
Codex runs inside the IDE, Git, CI, Jira, and Slack—where engineers already work. Not in a side tab.
Velocity, visible
Dashboards track adoption, cycle time, PR throughput, test coverage, and defect rates—so impact is visible and repeatable.
A proven playbook to activate Codex across your engineering org
Twelve weeks to turn AI coding from scattered experimentation into measurable gains in velocity, quality, and developer happiness — without risking your codebase.
Foundation & Assessment
- Baseline every engineer and code base to find the real velocity bottlenecks.
- Stand up an enterprise-safe AI coding environment with guardrails in place.
Tooling, Coaching & Integrations
- AI embedded into IDE, PRs, and Jira — where engineers actually work.
- Requirements-driven patterns: AI drives implementation, refactors, and TDD.
Build, Measure & Scale
- Velocity quantified: cycle time, PR throughput, coverage, defects, dev satisfaction.
- Capstone hackathon — build real features on your backlog; execs pick the products, engineers ship them.
