LufkeyW Reverse · How it works
An agent allowed to write, with a net underneath.
This is the full journey of an operation inside LufkeyW Reverse: what happens between the moment the agent decides something and the moment that change lands in your data — or is undone.
←Back to Solutionsthe problem
AI doesn't fail the way software fails.
Deterministic software fails predictably: you test it before deploying and it behaves the same every time. An agent decides in real time, over data that keeps changing, and a single misread instruction can reach thousands of records in a second. That's why most teams end up giving their agents read-only access — and give up most of the value in the process.
✕Backups aren't the answer
Restoring last night's backup doesn't undo the mistake: it also undoes every legitimate change made that day.
✕Nobody knows what changed
Without a record of the intent behind each operation, auditing what the agent did means reconstructing it by hand.
✕Fear blocks adoption
The AI project stays in permanent pilot, because nobody will sign off on production.
the lifecycle of an operation
Four steps between intent and data.
No operation reaches your data without passing all four. The order is what makes the last step possible.
01 · Declare the intent
Before touching anything, the agent declares what it means to do and over what scope. That declaration is the contract everything else is measured against.
02 · Protect the state
The platform creates a restore point scoped to what the session can reach. Not a full database backup: a capture of the ground the agent is allowed to walk on.
03 · Verify before applying
Every operation is checked against the declared intent. If the real scope exceeds what was declared — a thousand rows where ten were expected — the operation stops before it runs, not after.
04 · Apply or roll back
What passes verification is applied and logged. What doesn't is stopped; and if something did run, the restore point brings back the previous state without touching legitimate work.
when something goes wrong
The case everyone fears, step by step.
An agent is cleaning up inactive records. The declared intent is narrow: delete test clients created during a migration. But the condition it builds reaches 1,204 real clients.
- 01Verification detects that the real scope doesn't match the declared intent and stops the operation.
- 02State returns to the restore point created at the start of the session.
- 03Earlier legitimate writes — the new client, the invoice marked as paid — are left intact.
- 04The attempt is logged with its context, available to review like version history.
Result: zero rows lost, and the session continues.
frequently asked
What people usually ask us.
- Does this replace my backups?
- No, and it shouldn't. Backups protect against disasters: failing hardware, a datacenter going down. Reverse protects against decisions: an operation that ran exactly as asked, but wasn't what anyone wanted. Different layers — keep both.
- Does it slow down the agent's reads?
- No. Reading destroys nothing, so the agent keeps full read access. Verification kicks in when an operation is about to modify or delete data.
- What if the operation was correct?
- Nothing changes: it's applied and logged. Verification doesn't demand human approval at every step — it only stops what falls outside the declared intent.
- Does it work if I already have an agent running?
- It's designed as a layer between the agent and your data, not a replacement for the agent. Talk to us about your setup and we'll tell you honestly whether it fits.
Want to see it on your own data?
Book a conversation and we'll work out together whether LufkeyW Reverse solves your case.
Book a demoContact
Tell us which data you can't afford to lose.
A 30-minute conversation is enough to know whether we can help — with agents, with software, or with the security of your data.