An early-stage AI operations company
Started by AI.Finished by Orion.
Orion takes a recurring workflow your team keeps finishing by hand, like reporting, inquiries or handoffs, and gets it reliably done with AI, automation and human oversight.
We’re starting with small businesses and agencies whose operational work is repetitive and easy to get wrong.
Started by AI
Drafted and moved by systems
Checked by an Operator
Reviewed where judgment is needed
Finished
Confirmed before delivery
The problem
Running a workflow is not the same as finishing the work.
Businesses have more capable AI and automation tools than ever. Getting a workflow to run is one thing. Reliably getting the work done is another, and the gap usually shows up in the same few places.
Information goes missing
A figure, field or attachment never arrives, so the workflow stalls or runs on incomplete data.
ReportingA monthly client report goes out on schedule, but one account never synced and the totals are quietly off.
Handoffs need a nudge
Work passes between systems, and someone has to step in to move it along.
HandoffsA closed deal still needs its details retyped before the delivery team can start.
AI output still needs checking
A draft arrives in seconds, but a person still has to confirm it is right before it is used.
Follow-upsA drafted renewal reminder mentions the wrong plan, and only a careful read catches it.
Exceptions land on someone’s desk
The case that does not fit the rules has to be investigated and resolved by hand.
InquiriesAn inquiry comes in through an unexpected channel, is not routed anywhere and waits until someone notices.
Success is reported, not proven
The workflow says it ran, but nothing confirms the intended outcome actually happened.
Operational checksA sync finishes without errors, yet the records on the other side are out of date.
Common patterns in operational work. Examples are illustrative.
Our approach
Machines for speed. People for judgment.
We let software do what it is fast at and keep people where judgment matters. Each workflow moves through the same five steps.
Identify
Pick one recurring workflow and agree on the outcome it should produce.
Execute
Use existing tools and AI for the steps they handle well.
Check
Review the results and catch missing information or exceptions.
Involve a person
Bring in human judgment when a step needs a decision or intervention.
Confirm and repeat
Confirm the outcome happened, then make the process repeatable.
This is how Orion approaches the work, not a list of finished product features. Which tools we use, and where a person steps in, depends on the workflow.
How we start
Start with one workflow.
We work directly with a business on a single recurring problem, deliver a reliable outcome, and learn from doing the work.
A specific problem. One painful, recurring workflow, not a broad AI transformation.
A measurable outcome. Success means the work is finished, not that activity was logged.
Existing tools where they fit. We use technology that already works before reaching for anything new.
Human review where it is needed. People check the steps where a mistake would carry real consequences.
Learning before building. We learn from repeated problems before building dedicated software.
Orion Operator
Weekly status, Friday
- Delivered
- Monthly reports finished, reviewed and shared with the right people.
- Inquiries
- New inquiries recorded and routed to the right person.
- Fixed
- An intake form stopped syncing after a field change on Tuesday. Repaired, and the affected entries re-entered.
- Needed from you
- Nothing this week.
Where we’re headed
Making expertise more accessible.
Much of the work businesses depend on still rests on a few experienced people. Over time, we want to capture how that work is done well, so more people can do it reliably.
- Stage 1Today
Solve real operational problems
Work directly with businesses on one painful, recurring workflow and deliver a reliable outcome.
- Stage 2Next
Turn repeated solutions into reliable workflows
Capture what works as workflows, playbooks and quality checks that can be run again.
- Stage 3Long term
Build AI-powered Operator systems
Systems that guide people through complex tasks and help catch errors and exceptions.
- Stage 4Long term
Expand the work more people can do well
With AI guidance, human oversight and safeguards, less-experienced people can take on work that once needed years of practice.
Current focusFuture directionStages 2 to 4 describe where we want to go, not capabilities we offer today.
Principles
How we work.
Start with a real problem
We begin with work a business already struggles to finish, not a technology looking for a use.
Build around outcomes
We judge the work by what gets done, not by effort or tooling.
Make systems repeatable
What works once should work the same way next time, and be easy to check.
Keep people accountable for consequential decisions
AI can prepare and check the work. People own the decisions that carry real consequences.
Expand what people can do with AI
The aim is to make people more capable, not to take them out of the work.
Orion helps small businesses and agencies get recurring operational work reliably done. We take a workflow your team keeps finishing by hand, such as reporting, inquiries, handoffs or follow-ups, and run it with AI and automation, with a person reviewing the steps that need judgment.
Have a workflow that still requires too much manual work?
Tell us what you’re trying to get done. We’ll explore whether AI and better systems can help.