The resets and reboots close themselves.
Full disks, stuck queues, account unblocks. The repeat tickets that eat your techs' day, resolved around the clock. No ticket, no tech, no 23-minute refocus.
The Autonomous MSP Layer
Run the autonomous MSP.
Not the heroic one.
Closed before your tier-1 logs in.
Orchard sits on top of your PSA and RMM, learns how your shop actually fixes things, and closes the repeat tickets itself. The resets. The reboots. The full disks. Gone before anyone opens a ticket.
Runs on the PSA and RMM you already have. No rip and replace.
001 The loop
One closed loop.
Running with every desk you operate.
Every MSP runs on the same fiction: a wiki of stale runbooks, a tier-1 queue measured in hours, a tier-3 measured in heroics, an RMM screaming a thousand alerts a day.
The research says what you already feel. It takes a tech 23 minutes to refocus after every interruption, and the queue is nothing but interruptions. Orchard reads your tools, watches your engineers, and learns the actual shape of how your shop fixes things. Then it runs it.
Your techs don't want a copilot. They want the queue to stop. That's what the loop does.
01
Watch
A lightweight agent goes on your endpoints. It sees the real work across your shop. No rip-and-replace, nothing new for your techs to learn.
02
Learn
It maps how your shop actually fixes things, including the reset runbook that never made it into a process doc.
03
Resolve
It closes the repeat tickets itself: resets, reboots, full disks, the work that eats your techs' day. No ticket, no tech.
002 The graph
Watch the work
assemble itself.
003 The boundary
"No way I'm giving an AI write access to passwords."
Correct. Neither would we.
Every Orchard agent ships with a hard policy boundary: what it may fix on its own, what it may only flag, and what it must hand to a human. You draw the lines. Every action is logged and replayable, so you can show exactly what it did, and why.
- ↳Augment, not surveil. Orchard automates the work. It isn't bossware. You set that line.
- ↳Trained on your historical tickets. Not the internet.
- ↳In-tenant inference. Your data never leaves your boundary.
- ↳Built for SOC 2, ISO 27001, HIPAA.
- ↳Hands off cleanly to a human for the part it shouldn't touch.
Trust is built at the boundary, not the demo.
004 What it closes
What it closes
without asking.
It stages, watches, and rolls back.
A patch goes to a canary first. Orchard watches it, and pulls it back before a fleet-wide break. Not after the phones start ringing.
A thousand alerts, down to the few that matter.
Your RMM screams all day. Orchard reads every alert, clears the noise, and pages a human only for the ones that actually need one.
Every action logged and replayable.
See exactly what got closed, when, and what it saved you. No black box, no hand-waving. Receipts, timestamped.
- 01full disk cleanupauto · 15s
- 02printer queue stuckauto · 8s
- 03M365 account unblockauto · 18s
- 04VPN reconnect loopauto · 4s
- 05backup & DR verificationauto · 2m
- 06quarantine reviewhuman · review
- 07contract / SOW reviewhuman · review
what Orchard closes in your shop, and the few calls that still need a human
005 The math
The margin isn't in your
pricing. It's in your queue.
11 percent. That's the average MSP margin, and nearly a third of the market loses money. Payroll runs about 80 percent of your cost. Gartner puts password resets at 20 to 40 percent of help desk calls, at roughly $70 of labor each.
You can't hire your way out of a queue that resets itself every morning. The margin isn't hiding in your pricing. It's hiding in the repeat tickets a machine should be closing.
The MSPs that bring AI consolidate the market. The ones that don't get rolled up.
0%+
Tier-1 volume we aim to resolve without a human.
Auto-resolve · target
<1m
Median time-to-resolution we're targeting.
Speed · target
0×+
Tickets per engineer we're designing for.
Throughput · modeling
$10–20k
Monthly margin uplift per 100 endpoints.
Margin · modeling
006 Where it goes
Prove it at one desk.
Run it across the shop.
A fix proven at one desk is the same shape at the next. Run it across your whole shop. Then it carries across every MSP on Orchard, so the model gets sharper with every ticket it touches.
Nobody with fewer endpoints can catch the lead. We start with your queue. We don't stop there.
007 Talk to the founders
Run it in your shop
for 90 days.
See what your techs are doing that a machine should. Watch it start closing those tickets. Then decide what comes next.
We're three founders building this in the open. If you run an MSP and want to compare notes, or want on the early-access list, we want to hear from you.
Thanks. We'll be in touch. Anything below is optional.
Got it. Appreciated.