What is Codos?
Codos is an enterprise AI transformation platform built around a simple premise: most companies don't lack AI ambition, they lack a way to turn scattered internal knowledge into something agents can actually use. Codos addresses this by building a "company brain" — an operating system and context layer assembled from interviews, org charts, metrics, meeting notes, and the tools your teams already work in.
The process starts with AI diagnostic interviews and data analysis to surface the highest-leverage opportunities, then moves into deployment. Forward-deployed engineers (FDEs) step in to automate your largest cost centers, so you're not left alone with a platform and a to-do list.
Who it's for
- Midsize and enterprise organizations (300–3000 people) — big enough to feel operational friction, small enough to become AI-native quickly.
- CEOs, C-level executives, and AI teams — leaders who know AI matters and want measurable leverage rather than experiments.
- People-heavy industries — services, engineering, support, and sales teams where much of the work is exactly what AI can absorb.
Key features
AI diagnostic interviews
Codos runs agentic interviews with employees alongside data analysis to identify the lowest-hanging opportunities fast. Diagnostics are measured in days, not quarters.
The company brain
Fragmented knowledge — interviews, org charts, metrics and OKRs, meeting notes, and connected tools — is consolidated into a context layer that agents can act on. It's designed as the operating system and shared context for your AI workforce.
Forward-deployed engineers
Codos deploys FDEs to run the transformation alongside your team, automating the largest cost centers rather than handing over a tool and walking away. Deployment support is dedicated, not a resource drain on your internal staff.
Phased rollout
The engagement moves through days of diagnostics, weeks of pilot, and months of transformation — scaling what works and compounding the gains.
What stands out
Build it yourself. Or don't.
That line captures the core trade-off Codos is selling. A DIY build is framed as a 6–9 month path with ad-hoc architecture and weak data privacy, while Codos promises weeks to value, battle-tested architecture, on-prem deployment, and a 10x+ ROI commitment. The team behind it blends McKinsey-style consulting with hands-on AI engineering experience, which is reflected in how the offer is structured: diagnosis first, then execution.
Worth checking out if…
You're running a 300–3000 person organization in fintech, ecommerce, technology, real estate, retail, or services, and you want AI transformation measured in weeks rather than quarters. It's especially relevant if you need on-prem deployment and a partner willing to commit to ROI — and if you'd rather have forward-deployed engineers doing the work than assemble a transformation stack from scratch.
