01 / DATA CENTERS FIRST
High-value systems. Clear rules. Real consequences.
Workload moves, maintenance approvals, rack inspection, fault response, and every handoff between software and people.
A clear record for AI agents
The record behind every agent action.
See what an AI agent was allowed to do, what it tried to do, and what happened next. Keep that story in one clear record.
See how it worksBuilt for the people who run critical systems
Data center teamsCloud operatorsSecurity teamsAuditorsInsurers
The first market and the larger idea
Start in the data center. Expand wherever agents touch real systems.
02 / PHYSICAL AI NEXT
The same record follows work beyond the rack.
Factories, warehouses, laboratories, field service, and any system where an agent can cause a consequential action.
Explore AgentRecord
Four parts of one operating story.
The overview stays simple. Each page goes one level deeper into the problem, what you get, the record itself, and a practical first pilot.
01The problem
The operating story is scattered.
Requests, approvals, tool calls, and outcomes live in different systems. AgentRecord reconnects them.
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02How it works
Know what every agent may do.
Give each agent clear limits, and keep your own systems and people in charge of the final call.
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03The record
Keep the evidence people actually need.
One readable timeline shows what an agent was asked to do, who approved it, and what happened.
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04The pilot
Start with one real workflow.
Run AgentRecord alongside a familiar operating process, learn where the story breaks, and measure what becomes clearer.
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AgentRecord.co