No in-house AI team
You have the ambition and the budget, but no data scientists, no AI lead, and no time to hire one — so the work never starts.
Any project · Process optimization · Enablement
Any complexity, on top of the systems you already run — we build it with AI and make your existing teams faster. Most AI pilots never ship. Ours do, with no rip-and-replace and no waiting on a team you don't have.
Isolated workspaces · Your API keys · No Rodos data retention. Inference routes through your chosen providers (OpenAI, Anthropic, Google)—the same path your team would use internally, not through us.
From scoped pilots to multi-team rollouts. How we deliver ↓
Most companies have AI ambition.
Few have an AI operating layer.
The blocker is rarely models or budget. It is the gap between your existing systems and the agentic, automated workflows you want running on top of them.
You have the ambition and the budget, but no data scientists, no AI lead, and no time to hire one — so the work never starts.
Demos and notebooks impress leadership, then stall: they never connect to the systems where real workflows actually live.
Work crawls through copy-paste between tools nobody wired together — your CRM, ticketing, warehouse, and codebase only talk through people.
We close that gap — design, build, integrate, and operate the AI systems that move work end-to-end through your stack.
A repeatable engagement model designed for high velocity and low blast radius — so AI moves into your operations safely, and stays there.
We connect to the systems involved in the target workflow, study the actual handoffs, and produce an architecture for what AI should and should not do.
We build the first end-to-end workflow with humans-in-the-loop, evals, and observability — and ship it into production behind safe rollouts.
Once the first workflow proves out, we expand: more agents, more integrations, more teams — with shared infrastructure and continuous evaluation.
Engagements run as fixed-scope sprints or ongoing programs — with clear milestones, owners, and exit criteria at every phase.
When you are ready to move from diagnosis to delivery, explore our fixed-scope offerings and the ecosystem that backs every engagement.
We build AI systems the way we would want them running on top of our own business — with controls, audit, and reversibility taken seriously.
Every workflow ships with explicit approval, override, and escalation paths. Agents act inside guardrails, not around them.
We respect your IAM, secrets, and data boundaries. Where you provide API keys, model calls go to your approved providers—not through Rodos infrastructure. We do not retain your engagement data beyond what the scope requires.
Tracing, metrics, and an evaluation suite for every workflow — so regressions surface before users feel them.
Actions are logged, batched where possible, and reversible. Rollback is a feature of the system, not a fire drill.
No rip-and-replace. We integrate with your existing tools, queues, and data — and hand off code, configs, and runbooks you own.
Documentation, evals, and dashboards travel with the system. Your team can run, extend, and audit what we build.
We’ll map what can be automated, what should stay human, and what can ship to production first — across your existing tools, data, and security boundaries. Prefer email? hello@rodos.ai.
The AI Operating Layer