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What changes for your team
Grow your fleet without growing your engineering team at the same rate. Where teams see it, and how to measure it on your own work.
Today, every robot you add means more runs to review, more field issues to answer and more logs for your engineers to dig through. Engineering effort grows with the fleet.
Alloy breaks that link. The agent takes the log work for each new robot, each new run and each new ticket. Your fleet can grow without your engineering team growing at the same rate, and your engineers stay on the robot.
How it breaks the link
- It answers in minutes. Ask why a robot failed and get the moment, the likely cause and the evidence in minutes, not the day or two an engineer spends pulling logs. Each issue gets dealt with while it is still fresh.
- Every field issue gets a first pass. The agent answers in Slack and Jira from the robot's data. Senior engineers see only the issues that need them, with the evidence already gathered.
- It works in parallel. Ten tickets arriving at once get ten investigations at once. One question can cover every robot and every run, not one log at a time.
- Every run gets checked without a person. A recurring report reviews each new run, and scenarios watch for known failures. Ten more robots means more reports, not more reviewers.
- Answers get reused. The agent checks past cases first, and runs your saved scripts rather than writing new ones. A known issue gets a known answer, instead of a new investigation.
- And it keeps working when you are not. The agent runs on servers, not on a laptop. Overnight test runs each have a report by morning. A field issue posted at 2 a.m. gets a first pass before your team wakes up.
Where teams see it
More robots, not more engineers
Each new robot's runs get checked, and its field issues get a first answer from the robot's data. Senior engineers join only when they are needed. Teams have cut the time to respond to field issues by as much as 50%.
"We haven't necessarily needed to hire anyone yet."
Tom Brodie, Head of Autonomy. SwarmFarm
Engineers get their time back
The agent finds the runs, reads the logs and writes it up. Investigations that took weeks can take as little as a day (why we raised).
"We used to spend a full day after every field test just doing analysis. Now with Alloy, that's just ten minutes."
Jai Castle, Product Validation Manager. Advanced Navigation
What your team learns keeps working
Checks you set up once run on every new run. The agent keeps your team's context in your workspace: the notes you ask it to remember, your scripts and documents, and a record of every past case and its outcome. A repeat issue gets the answer that worked last time, and a new engineer gets the senior engineer's method on day one. Knowledge stops living in one engineer's head, so every run makes the next one better.
"Our rate of duplicate tickets has gone down a fair bit, and the mean time to resolution for previously seen bugs has gone down."
Tom Cameron, Tech Lead, AI Engineering. Andromeda
Across the robot's life
| Stage | What changes | What to measure | Who owns the number |
|---|---|---|---|
| Development | Find out why a change broke something, from the logs and the code. | Engineer hours from report to cause | Engineering lead |
| Validation | A report on every test run, and builds compared across many runs. | Time from test end to a result | Test or V&V lead |
| Deployed fleets | Every run checked; only the robots that need a person are flagged. | Issues found before the field reports them | Fleet or operations lead |
| Field support | A first answer from the robot's data, in Slack or Jira. | Time to first useful diagnosis | Support lead |
Worked example
Fictional example: the company, robots and numbers are invented.
Tern Field Robotics runs 90 inspection robots across six sites, and plans three more sites this year. Its support lead owns the pilot.
| Before Alloy | With Alloy | |
|---|---|---|
| Median time from ticket to first useful diagnosis | 40 hours | 9 hours |
| Tickets where a senior engineer pulled the logs | 12 of 30 (40%) | 6 of 25 (24%) |
| Ticket volume | Baseline | Up 20%: operators logged issues they used to ignore |
How the support lead wrote it up: the agent takes the first pass on high-priority tickets, so time to diagnosis fell from 40 to 9 hours and senior log pulls fell from 40% to 24%. The senior engineers got back about 4 hours a week for autonomy work. The company did not cancel a hire, so the write-up says "capacity", not "savings". The next question for the support lead: can the three new sites come online without a new support engineer for each one?
Measure it on your own work
- Pick one workflow and one number. For example, time to first useful diagnosis on field tickets.
- Take the baseline from history. Ticket timestamps and test logs usually give it to you.
- Run Alloy next to your current process. The owner of the number checks the findings against the recordings.
- Write it up as one chain: Alloy changed this workflow, this number moved, and this owner confirms it.
Count it honestly
A CFO will apply these rules anyway.
- Time released is capacity, not cash. Count it as money only when spend changes: a hire you do not make, a contractor you stop, a tool you cancel.
- Count each hour once. An hour saved on investigation is not saved again in reporting.
- Ticket counts can rise at first. Better capture shows faults the team did not record before. Measure time to diagnosis and repeat cases, not volume.
- Compare against what you use today: your scripts, your log viewers, and general AI assistants on raw files. Not against nothing.
- Report what you measured, not what you hoped for.
To start, talk to us. To see the agent first, try it on sample robots in Try Alloy.
Related
When to use Alloy
Where Alloy's agent saves your team the most work, where another tool is the better choice, where Alloy stops, and how it compares with scripts, log viewers and a general coding agent.
Getting good results
How to give the agent requests it can answer well: good and bad requests for robotics work, a checklist before you upload, when to use chat, reports, automations or scenarios, and the agent's known limits.