Your company needs AI agents. We deploy them.
Remotely Zero brings AI agents into your organization — with the engineers and infrastructure to make them actually work. Across engineering, product, growth, and customer success.
Everyone's experimenting. Nobody's deploying.
Your engineering team bought Cursor licenses. Marketing is testing Claude. Customer success drafts responses with ChatGPT. Everyone is running their own experiments, in their own silo, with no shared context.
The tools work. The adoption doesn't.
Nobody owns the rollout. Nobody's deciding which workflows to automate first, what agents can do on their own, or how to keep quality high. Your CTO has a roadmap. Your senior engineers are building product. AI deployment is everyone's side project and nobody's job.
Two things. Not one.
Most AI vendors sell you a platform and wish you luck. We bring two things:
Agent infrastructure
Your whole organization runs on it. Shared context, persistent memory, composable workflows, governance and oversight — built for teams, not individuals.
Forward Deployed Engineers
They embed with your team to make it work. They assess your workflows, deploy agents, configure everything with your company's context, and own the results.
The platform without the engineer is shelfware. The engineer without the platform doesn't scale. Together, they transform how your company works.
What makes this different from buying another AI tool.
A dedicated engineer who knows your business.
Your Forward Deployed Engineer audits your workflows, identifies the highest-leverage opportunities, and deploys agents configured with your company's context. They own the rollout. Not your senior engineers. Not your CTO.
Agents that know your company — and get smarter every week.
Your codebase, docs, conventions, domain knowledge, and team preferences are loaded into a shared context layer. When anyone on your team corrects an agent, the platform remembers. For everyone. Permanently. Your AI gets better the more you use it.
Workflows that run on repeat, across every function.
Bug comes in. Agent writes the fix. Engineer reviews. Merged. PM writes a brief. Agent expands into spec. Engineer reviews. Agent codes it. Customer asks a question. Agent drafts the response. CS rep reviews and sends. Define the steps once. Run them across your organization.
Not just engineering. Your whole company.
Every function has well-defined, repeatable work. Agents handle it. Your team handles the judgment calls.
Engineering
Agents fix bugs, write tests, refactor code, handle migrations, and draft PRs. Your engineers review, approve, and set architecture standards.
Product
Agents expand briefs into specs, triage the backlog, analyze metrics, and draft release notes. Your PMs make decisions, prioritize, and approve scope.
Growth
Agents draft content, generate variants, optimize SEO, and analyze campaign performance. Your marketing team edits, approves, and sets brand direction.
Customer Success
Agents prep QBRs, draft responses, analyze churn signals, and summarize tickets. Your CS team reviews, personalizes, and manages relationships.
Start with one function. Expand from there. The same platform, the same context layer, the same FDE.
Someone has to own it.
Every company that's tried to "adopt AI" internally hits the same wall. The tools are there. The strategy isn't. Nobody's job is to figure out where agents fit and make them work.
Your Forward Deployed Engineer is that person. A senior engineer with production AI experience who:
This is not consulting. Your FDE writes code, ships workflows, and is accountable for results.
The gap is already widening.
72% of developers use AI daily. 42% of committed code is AI-generated.
Your team is already working with agents — just without coordination, shared context, or governance.
The bottleneck has moved.
It's no longer "can AI do the work?" It's "can your organization deploy AI effectively across teams?"
The advantage compounds.
Companies building shared context and workflows now get smarter every week. Every correction, every preference, every workflow makes the next one faster. Starting six months from now means starting from zero while competitors are on version 10.
This goes beyond engineering.
The same AI that writes code can draft specs, prep QBRs, analyze campaigns, and triage support tickets. Companies deploying agents across functions — not just engineering — see 10x the impact.
From the team behind Remotely Works.
We've spent years connecting growth-stage companies with senior LATAM engineers. We've placed hundreds of developers and watched how the best teams build.
Now we're applying that expertise to the AI transition. Our Forward Deployed Engineers come from the same senior talent network — engineers with production AI experience, startup mindset, and the ability to embed with your team and deliver.
We know your teams. We know how you work. We know what breaks when you scale. Remotely Zero is what comes next.
We're building this with our customers, not for them.
We'd love 30 minutes to walk you through the concept and hear how your team is approaching AI deployment today.
Common questions
What's a Forward Deployed Engineer?
A senior engineer who embeds directly with your team to deploy AI agents across your organization. They assess your workflows, configure agents with your company's context, build governance and oversight, and own the results. Think of it as a technical co-pilot for AI adoption — not a consultant, an engineer.
Do we need to change our existing tools?
No. Remotely Zero works with the AI tools your team already uses — Cursor, Claude, ChatGPT, Copilot, Devin. We add the shared context layer, persistent memory, and governance that makes them work as a team instead of as individual experiments.
What functions can this cover beyond engineering?
Engineering is the starting point for most companies, but the same platform and approach extends to product management, growth/marketing, and customer success. Any function with well-defined, repeatable workflows is a fit.
How is this different from hiring an AI consultant?
Consultants deliver reports. FDEs deliver working systems. Your FDE writes code, ships workflows, and iterates based on what's working. They're embedded with your team, not presenting to your team.
How long does deployment take?
Your FDE starts by auditing your workflows and identifying the top opportunities — typically 2-3 weeks. First agent workflows are live within the first month. Expansion to additional functions follows based on results.
Is our data secure?
Agent access is scoped per function, per workflow, with least-privilege controls. Every agent action is logged and auditable. Customer data is fully isolated — no cross-customer data leakage. We build for SOC 2 compliance from day one.