AMP
Put AI to work without giving up control ƒ
Most products bolt an AI assistant on the side and ask you to trust it. AMP is designed differently: people and AI do the work together, and check each other. On the decisions that matter, an AI's call is confirmed by a person (or a second model) before it counts — designed to keep a planned record of every routed decision: who acted and who disagreed, person or AI. You get the speed of AI with your team's judgment in control. ƒ
From what comes in to what gets done
Everything AMP does follows one path. Something comes in, the noise is cut, it gets one owner, and it's worked to resolution with a record of what happened. The words change from team to team; the path doesn't. ƒ
Something comes in
An alarm, a sensor reading, a form, an email — whatever your team has to act on. It all comes into one place, whatever the source. ƒ
The noise is cut
Duplicates and false signals are dropped, related ones are pulled together, and what's left is ranked by how much it actually matters to your team. ƒ
It gets one owner
It goes to the right person by area, skill, and seniority — and just one of them takes it on, so nothing is dropped and nothing is handled twice. ƒ
It gets done — and checked
The owner works it to a clear resolution. On the decisions that matter, a second person or an AI checks it first — designed to leave a planned record of every routed decision. ƒ
What makes it different
AI works on your terms — held to the same bar as your people ƒ
The point isn't "we added AI." It's that AI works as part of the team, not off on the side. AMP is designed so an AI is treated like any other worker — given work the same way, held to the same deadlines, and tracked the same way — with no separate "AI feature" running where no one's watching. ƒ
That means a mixed team of people and AI doesn't create a blind spot: AI's work is governed and recorded exactly like a person's, so you always know what it did and can hold it to account. ƒ
A second set of eyes, either way
One worker does the job; a second confirms it before it counts. Either can be a person or an AI — so a person can check an AI, an AI can check a person, or two of either can check each other. ƒ
Checked independently, so no one just agrees
The two can review without seeing each other's answer — so neither is swayed by the other and neither can quietly rubber-stamp. You get a genuine second opinion, not an echo. ƒ
A record you can stand behind
A planned record of every routed decision — who decided, who disagreed, and whether each was a person or an AI — so when leadership or an auditor asks what happened, you can show exactly that. ƒ
The same checks work in every direction — a person checking an AI, an AI checking a person, or two of the same checking each other. Most AI tools just suggest and leave the rest to you. AMP is designed so AI can participate in the workflow and be checked — and, by the same design, can help check people too. ƒ
Verification & trust
Does the AI act on its own? No — you decide where a person has the final say ƒ
You set where the checks apply. Low-stakes work can be configured for lighter review; the decisions that carry real consequence get two reviewers — a person and an AI, or two people — who weigh in independently so neither just defers to the other. If they disagree, it goes to a person to settle. For the cases you choose, the platform can require agreement before anything happens — so it never goes ahead on an AI's say-so alone. The one exception is life-safety: there, response is never held up by a check — it goes immediately, and the review runs alongside for the record. ƒ
- "We can't have AI dispatching or tripping a safety action on its own."
- It isn't designed to. On the decisions that carry weight, the platform puts a person and an AI on it together. For the cases you choose, it can require both to agree before anything happens, and any disagreement goes to a person to settle. The exception is life-safety: response goes immediately and the check runs alongside for the record — it never holds up an urgent dispatch. ƒ
- "How do we know the AI didn't just rubber-stamp the operator — or vice versa?"
- Because they review independently — neither one sees the other's answer before giving their own, so there's nothing to just go along with. You get two real opinions, not one opinion twice. ƒ
- "When something goes wrong, can we reconstruct what happened?"
- That's the design intent: a planned, append-only record of every decision — what was decided, who reviewed it, who disagreed (person or AI), what action was taken, and who settled it if they didn't agree. ƒ
- "We want humans to have the final say where it counts."
- You set the rules: give a person's call more weight than an AI's, require two people to overrule an AI, or require a person to sign off on whatever you decide matters most. It's your policy, your call. ƒ
The same idea, in each team's words
A second set of eyes is the heart of it, and every team gets it in their own language — confirming an alarm before a guard rolls in security, a second confirmation on safety-critical actions in the plant, and sign-offs on enterprise work and sales deal terms. ƒ
It's how we work, too: one AI drafts, a different one checks it, and a person makes the call. AMP is that idea turned into a platform. More about how we build →
Put a second set of eyes on the work that matters
Tell us what your team works and where you'd want a human — or a second model — to verify before anything happens. We'll map it onto the platform with you.
Contact Alarm Management