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.
Real impact means scaling AI throughput across the whole organization
The companies pulling ahead aren't just experimenting. They're rethinking how they work — 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
End-to-end governed agentic SDLC
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What you can expect
Four outcomes every engagement is built to deliver.
Shorter PR cycles, more features per sprint, and legacy migrations completed in weeks on the work that matters most to your roadmap.
SSO, policy controls, access tiers, and audit trails. Fits your security model, so adoption scales without risk.
Codex runs inside the IDE, Git, CI, Jira, and Slack — where engineers already work. Not in a side tab.
Dashboards track adoption, cycle time, PR throughput, test coverage, and defect rates — so impact is visible and repeatable.
A proven playbook to activate Codex in your organization
Twelve weeks to turn AI coding from scattered experimentation into measurable gains with governance.
- Baseline every engineer and codebase to find the real velocity bottlenecks.
- Stand up an enterprise-safe AI coding environment with guardrails in place.
- AI embedded into IDE, PRs, and Jira — where engineers actually work.
- Requirements-driven patterns: AI drives implementation, refactors, and TDD.
- 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.
Ready to make Codex a core part of how your team ships?
Let's talk about turning Codex into a managed engineering capability — secure, measurable, and scaled across your organization.
