Intelligent AI operators that complete end-to-end business workflows. They reason, adapt, and execute — so your team focuses on what only humans can do.
Built by a 20-year Amazon veteran · Enterprise-grade from day one · AI-native architecture
2 minutes to understand how AI employees transform your operations.
Most companies are stuck at level one. OpFleet operates at level three.
You type a question, AI gives an answer. You copy-paste. You do the actual work. Every task starts from scratch.
ChatGPT, Claude, Gemini
AI helps you in real time — autocomplete, suggestions, drafts. Better, but you're still driving. It stops when you stop.
GitHub Copilot, Notion AI, email assistants
You define the goal. The operator plans the steps, executes end-to-end, uses the right tools, and keeps you informed along the way.
That's OpFleet.
Operators
Deploy a standard operator for a well-defined role — or define a compound operator that handles an entire business outcome end-to-end.
Writes, reviews, and ships production code. Handles bug fixes, refactors, and feature builds across your stack.
Reviews contracts, flags risk clauses, tracks compliance requirements, and prepares redline summaries.
Monitors competitors, synthesizes market reports, tracks industry trends, and delivers actionable briefs.
Monitors KPIs, generates reports, surfaces anomalies, coordinates cross-team workflows, and flags blockers.
Creates long-form articles, social posts, email sequences, and documentation. Manages publishing calendars.
Tracks health scores, manages onboarding, identifies churn risk, and triggers proactive interventions.
Reconciles accounts, generates P&L summaries, tracks expenses, and prepares board-ready financial reports.
Screens resumes, schedules interviews, manages candidate pipelines, and drafts outreach to passive talent.
Builds and maintains data pipelines, monitors data quality, automates ETL workflows, and generates dashboards.
Tracks deliverables, sends status updates, manages timelines, escalates risks, and keeps teams aligned.
Runs automated test suites, identifies regressions, writes test cases, and reports bugs with full reproduction steps.
One operator that handles your entire go-to-market motion — from research to revenue.
Full deal lifecycle management — from proposal to signed contract.
Full launch playbook execution — from release notes to post-launch analytics.
Define the outcome. We'll combine the functions, tools, and workflows into one operator that no single employee could replicate.
Tell us what you need →How It Works
Tell us the job function, the tools involved, and the outcomes you expect. We scope the workflow and guardrails together.
Your AI operator ships in days — with persistent memory, tool integrations, and progressive autonomy built in from the start.
Review outputs, adjust scope, give feedback. Your operator learns and improves every week. Scale up when you're ready.
Autonomy
Every operator starts with limited permissions and graduates to more autonomy as it proves reliability — the same way you'd onboard a new hire.
You control the pace. Most teams start at Level 2 and reach Level 4 within a month.
Why Managed
Isolated execution, encrypted credentials, zero data leakage between operators. Enterprise-grade from day one.
Model selection, prompt tuning, memory architecture, tool integration, failovers. You get a working operator, not a project.
Every action, every decision, every tool call — logged and reviewable. Built for teams that answer to compliance and boards.
We handle model upgrades, capability expansions, and regression testing. Your operators get better without you lifting a finger.
Capabilities
Your operator doesn't stay the same. It grows. Here's what the first 90 days look like.
Your operator connects to your tools, reads your docs, and starts building a mental model of how your team works. No actions yet — just deep listening.
Starts handling real work with human approval. Thinks through problems, handles edge cases, and asks smart questions when something is ambiguous.
Stops waiting for instructions. Surfaces insights you didn't ask for, flags risks before they escalate, and suggests improvements to your workflows.
Full workflows, start to finish, with minimal oversight. Trust has been earned. Your operator handles the entire process and keeps you informed.
Your operator now knows your business better than most employees. It remembers every interaction, every preference, every lesson learned. It compounds.
The Math
An OpFleet operator works every hour of every day — weekends, holidays, 3 AM. That changes the economics of getting work done.
What an operator costs you
That works out to
per working hour
Imagine what your team could accomplish with 730 more productive hours every month — without adding headcount.
hours per month
always on
to deploy
hidden fees
Pricing
Two plans. No per-seat, no per-message, no surprises.
🚀 First 100 hours free — build and test your first operator before you pay a cent.
Self-Service
You build it. Always-on. Full control.
Fully Managed
White-glove. Tailored to your needs.
All plans include persistent memory, tool integrations, and enterprise-grade security. Volume discounts available.
About
OpFleet was founded by our founder, a 20-year Amazon veteran and AI startup founder.
After spending a year building and running AI agents in production — not demos, not prototypes, actual business-critical operators — he realized the biggest gap in the market isn't better AI models.
It's that companies don't want to figure out prompt engineering, memory systems, tool configurations, and security hardening. They want to say “I need an AI legal reviewer and an AI operations manager” and have them show up ready to work.
That's OpFleet.
Tell us the role. We'll scope it, build it, and have it running in days.
Or email us at sales@opfleet.ai