The AI operating system for the whole company

Grow your business on agents run by your team.

We deploy the system in your environment, build the agents function by function, and train your entire team to run on them.

In Claude Code, a finance lead runs /bi-variance. The BI agent scopes every brand and channel, computes each variance in the warehouse and checks every figure against the source, then shows month to date against budget: Brand A is 20% under budget on Amazon, which puts Amazon under budget too, and a note to its lead is ready for review.
A real client run. Names and numbers changed.

Powering 300+
users at

FintechWealth ManagementAdTechCryptoDisaster RestorationConsumer GoodsConstruction SuppliesBeautyeCommerceCreative AgencyFintechWealth ManagementAdTechCryptoDisaster RestorationConsumer GoodsConstruction SuppliesBeautyeCommerceCreative Agency
10
Industries
25+
Functions running on it
150+
Agents built for clients
300+
People with their own agent
01 · The problem

Individuals using AI, and a team running on AI, are two different things.

Everyone has AI now, and almost nobody has changed how their company runs.

AspectTodayWith harperOS
ExpertiseLiving in a few key people’s headsCaptured once, for everyone
Getting the work doneBy hand, or through each person’s own AI chatAgents running the proven way
QualityNot always predictable; ad hocDone right, every time
LearningIsolated to the individualEvery correction makes the whole system better
When someone leavesWhat they know goes with themThe company keeps it
After hoursThe office is closedAgents run scheduled tasks for morning approval
02 · What changes

The company gets faster. Every person levels up.

Agents take the execution; your people take the work that grows the company.

People direct

You direct the work, and spend your day on new ideas and higher-value tasks.

Agents execute

Your agents do the work, and you approve their output in batches.

Knowledge compounds

Every correction goes into one knowledge base, always current for your team and your agents.

An Amazon lead corrects her Amazon agent: count only products in the catalog, and check every seller account before calling a listing lost. The agent saves the correction, updates the Buy Box skill so the catalog comes first, and runs the check again: no listing lost across 140 live catalog listings, where the first pass had flagged 9 that were discontinued stock still listed in an account's feed.
A real client run. Names and numbers changed.
03 · The proof

What our clients say about harperOS.

“Our business is totally different now.”

We wanted to remove the routine work and free up people’s brains to think about how to improve the business. harperOS built the agents around how ADRI actually works and rolled them out to the whole team. Things that used to take days, if we could do them at all, now take five or ten minutes.

Greg BoatwrightCEO, Advanced DRIAdvanced DRI

“I’m building things myself now.”

My AR-collections agent runs the aging report, finds everyone past due, pulls each invoice and sends the email. That work used to take days, so it never got done.

Kevin GrotkeCEO, InstoneInstone

“I now have an almost-too-good-to-be-true cockpit for my business.”

It updates me every day on the numbers and on my team’s outreach. And the knowledge about my business lives in files I own and control.

Mike LambPresident & CCO, RTB HouseRTB House

“This moved at light speed.”

I’ve run big IT projects in a past life. They take six to twelve months of red tape. In a few months we had a genuinely outstanding system, with agents built around how we actually quote, sell, and reorder, and my team is running them. Work that used to eat hours takes minutes now. Coming from where I’ve been, that’s remarkable.

Steve StockiGeneral Manager, Virginia AbrasivesVirginia Abrasives

“Projects that used to take us days now take hours.”

Working with Harper has rewired how our marketing team thinks and operates in the age of AI, and our decisions are backed by data from across different channels, campaigns, and events.

Anna WigginsVP Marketing, AltruistAltruist

“Six weeks of work, done in three hours.”

I was about to hire someone for it, and now I don’t need to. I’m building my own automations now, and I’m learning so much.

Viral ShahCFO, Advanced DRIAdvanced DRI
04 · What we build

Every role on your team gets an expert agent.

They run on one operating system that keeps every agent reliable.

System

Every agent runs on one system, connected to your tools and data.

Function agents

Each agent is modeled on a role on your team, and does that job during the day and overnight.

Personal agents

Every person gets their own agent, which sends the work to the right function agent.

A private company repository opens on the harness and the plugins, then the marketing plugin, its skills, and the marketing agent's email campaign skill, written as five plain-English steps: pull the last campaign, compare it to the brand's own past sends, name the one thing that moved, draft the brief and subject lines, and flag any claim that needs a compliance check. It drafts and never sends.
A real client’s skill. Names changed.
05 · What makes us different

We build your agents with you, in your own environment.

Your expertise, data and AI work in one place, and every agent is yours.

One environment

Your people’s expertise, your data and systems, and the AI model work together in one place.

Agents you own

Your agents and your knowledge stay yours, grow in value as you use them, and move with you if you change AI models.

06 · How we work

Nobody improvises their way onto AI. We do it with you, in three phases.

Fully managed: your agents run by month two, and every person by month four.

07 · Why you can trust it

You can rely on what your agents produce.

Every agent works at parity with the person it reports to.

Rules

Every agent works to the same rules for how it behaves, what it writes and what it may touch.

Enforcement

Checks run on every action, so each rule applies every time and is never left to memory.

Checking agents

Independent agents check the facts, the numbers and the voice before you see the work.

A purchasing agent drafts the March purchase order for Brand B and sends it to a checking agent. The first pass passes nine of twelve checks. Check 3 fails because the order notes say the forecast ends in May where the forecast file says April; check 7 fails on last week's stock count; check 9 fails because the agent set a first order for a new product, which is the director's call, so it now goes to the director to decide. All three are corrected, the second pass clears twelve of twelve, and the tab waits for the director's review.
A real client run. Names and numbers changed.

Your agents. Your OS. Deployed in 60 days.