It spots what keeps coming back.
The same billing error has come in 23 times this week. Upshot sees the pattern and opens a run.
Upshot is an AI agent platform for operations teams. It watches the systems you already run, finds the pattern behind each repeat problem, and does the follow-up work.
In pilots with teams in freight, software, healthcare, finance and manufacturing
Your team fixes the same problems every month. Upshot spots the pattern, drafts the fix and asks before it acts.
The diagram from the top of the page, taken one step at a time.

The same billing error has come in 23 times this week. Upshot sees the pattern and opens a run.
Help docs and old tickets, the digging a person does by hand, done in seconds.
A rounding bug since the last release. Replies, a bug report and a doc edit are drafted at once, and nothing is sent.
Sam, the support lead, sees all three in one place and approves them, or edits or rejects them.
Replies go out from your helpdesk, the bug lands in your tracker and the doc gets fixed.
What it read, what it decided, who approved it and what it cost. Its model and tool spend was 12 cents.
Set it per action. Try it: change a rule and see who Upshot will ask.
Figures from five pilot customers. You see your own from the first week.
median model and tool spend on a run, shown on the run itself
median time from a trigger to a proposed fix
Read-only to start. It writes only through the actions you switch on.
Same engine, four jobs. Each one draws itself as it comes into view.
Three drafts at once and one approval, then every customer gets an answer.
Research hands off to a writer, and the deal owner signs off the email.
It tries carriers until one has a slot, then asks before paying more.
The supervisor sends the plan back once, and Upshot revises it.
Ines Carvalho and Kwame Osei run every pilot themselves, in a shared channel with a call each week.
A run is one problem taken from trigger to finished action. Reading, retries and sign-offs inside it are included.
$0.30 a run after the first 1,000. Above 20,000 runs a month, Scale pricing is usually cheaper.
One workflow, set up with you, on one problem your team is tired of fixing.
For teams running Upshot on a few workflows every day.
For high volume, your own cloud, or a security review before you start.
On Team, $0.30 a run after the first 1,000 each month. Model and tool calls are included, so there is no second bill from a model provider. Model and tool spend in our pilots has a median of $0.14 a run, and every run shows its own cost.
Anything that changes a system, or spends more than the limit you set, waits for a sign-off, so a wrong proposal gets rejected rather than carried out. Rejections and edits feed the evals, and you can see the approval rate per workflow.
We pick the model per step, a larger one for diagnosis and smaller ones for reading and formatting. On Scale you can bring your own provider keys.
Only for actions you mark as safe, such as posting a summary to a channel. Anything else needs a person, and you decide which person.
We review every run with you. If it earned its place, you move to Team and keep your workflows and run log. If not, we delete your data and you owe nothing.
Tell us about it in a sentence or two. We will tell you on the first call whether Upshot can take it on.
Ines or Kwame will reply within one working day with two times for a first call.