Deploy AI operators that complete end-to-end business workflows, with memory, tool access, human oversight, and enterprise guardrails built in. Your team gets the leverage of autonomous execution without losing control.
Built for enterprise deployment · Human oversight by default · Auditability, memory, and control from day one
2 minutes to understand how AI employees transform your operations.
Most companies are still buying answers. OpFleet helps them deploy operators that can safely execute real work in production.
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 coordinates tools, memory, and workflows to own an entire business outcome.
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 →Why OpFleet
OpFleet gives you a deployable AI workforce system, with the control plane, memory, approvals, and runtime structure serious teams need.
Good for answers. Weak at ownership.
Helpful in the moment. Still dependent on humans.
Flexible, but expensive and fragile to own.
Deployable operators with enterprise control built in.
Secure Deployment
OpFleet is designed for teams that want autonomous execution, but still need approval paths, auditability, runtime control, and safe handling of sensitive workflows.
Operators do more than assist. They complete real workflows across tools, context, and approvals so work actually moves forward.
Every interaction, every preference, every lesson learned. Your operators build context that compounds instead of resetting every session.
Start with oversight. Expand authority as trust is earned. Operators graduate into more autonomy the same way a strong employee does.
Operators think through problems, adapt to exceptions, and work across ambiguity. This is operational intelligence, not brittle automation.
Audit logs, approval gates, role-based access, deployment targets, and runtime control give teams confidence to deploy AI in production.
If a smart employee can do it with a computer, OpFleet can package, deploy, and manage it as an operator.
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, approval gates, and reduced exposure to sensitive workflows. Enterprise-ready from day one.
Model routing, memory architecture, tool integration, deployment targets, failovers, and runtime orchestration. You get an operator, not a science project.
Every action, every decision, every tool call, and every approval state is logged and reviewable. Built for teams that need visibility and control.
We handle model upgrades, capability expansions, regression testing, and deployment evolution. Your operators get better without destabilizing production.
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, but with the oversight, memory, and workflow control needed for real business operations. 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 own prompt engineering, memory architecture, tool integrations, deployment targets, approval logic, and runtime hardening themselves. They want to say “I need an AI legal reviewer and an AI operations manager” and have them show up ready to work, ready to govern, and ready to improve over time.
That's OpFleet.
Tell us the workflow, team, or outcome you want to own. We'll help you scope it, deploy it, and put the right controls around it.
Or email us at sales@opfleet.ai