Reviewer agreement
How often SwiftXEO's proposed fixes match what your reviewers actually decide. Measured continuously from real reviews, and shown on your dashboard.
Platform
AI proposes. Your team approves.
SwiftXEO starts with human review on everything. What it may do alone expands only after its proposals have kept matching your team's decisions. Every step up is deliberate, measured, and reversible.
Most automation tools hand out permissions in a settings page. SwiftXEO works differently: what AI may do grows from a review record you can read.
AI proposes. Your team approves. Every time.
The question behind the sign-off
Would you sign your name under work you did not read?
Anyone approving automated work has the same worry: if the system acts alone, who answers for it when it is wrong? Speed is worth little if it arrives with risk nobody owns.
SwiftXEO is built for the person who has to answer for the output. Every action is proposed, checked, and recorded, so it is always clear who signed off — however much of the work was automated.
Measured trust
How trust grows.
Trust is not a setting. It is a live measurement built from your own team's review history.
Trust index
One score built from your review history. It decides which low-risk actions can qualify for lighter review. It rises when proposals match, and falls when they miss.
Learning from reviewer decisions
How does SwiftXEO learn your standards?
Every approve, edit, and reject tells SwiftXEO something about your bar. Patterns that repeat — wording a reviewer always tightens, claims they always want proof for, topics they always escalate — can become proposed rules for future reviews.
SwiftXEO does not just check the work. It learns the standards your reviewers keep applying.
Nothing is learned until you approve it
Can the system change its own behavior?
Not on its own. Everything it learns — from content review, from measured results, from strategy debates — arrives as a pending proposal. A person approves it into use or rejects it. Nothing approves itself, and rejected lessons never shape future work.
See how memory is reviewedThe highest tier
What happens once the trust is fully earned?
At the highest earned tier, a workspace can opt in to limited automatic fixes. The system may then fix individual tasks without waiting for a reviewer. Several separate conditions must all hold, and the scope never widens past the task.
01
Proven track record
The workspace must have enough review history to show consistent agreement.
02
Explicit opt-in
A human administrator enables the capability. It is never on by default, and it can be switched off at any time.
03
Narrow scope
Only pre-defined, low-risk task fixes may run automatically. Strategy, plans, objectives, approval, and publishing stay with people.
If SwiftXEO cannot confirm the conditions still hold, it does not act. Every automatic fix is recorded, so you can check the trail long after the work shipped.
The difference
What does earned trust change?
Permission-first automation
- Turned on mostly through a settings page.
- Trust is assumed from the permission granted.
- Problems may only surface after the work is out.
- Oversight can fade as usage grows.
Earned trust
- Widens based on your real review history.
- The record stays visible.
- Scope stays narrow.
- People keep the final say.
What AI may do can grow. The approval step never goes away.
Questions
Frequently asked questions
Does SwiftXEO ever act without human approval?
Only in one narrow, earned case. Workspaces at the highest tier can opt in to let the system apply individual task-level fixes on its own. That needs a proven review record and an explicit opt-in, and stays limited to low-risk task fixes. If any condition cannot be confirmed, it does not act. Plans and strategy always need a person.
What is reviewer agreement?
The share of AI-proposed fixes that match what human reviewers decided, measured continuously from real reviews. It is the main evidence behind every step up, and it is shown on your dashboard. The highest tier needs at least 90% agreement across a proven review record.
Can it be revoked?
Yes, immediately. Opt-in automation can be switched off at any time. If the agreement record slips, the conditions stop being met on their own. Every condition is re-checked before every automatic action, and SwiftXEO does not act if it cannot confirm them.
How does SwiftXEO learn what our reviewers care about?
From their decisions. The standards that keep showing up in real approve, edit, and reject choices become part of the review context, so future proposals arrive already shaped by your bar.
Start with an approved picture of your business.
A Strategic DNA Scan gives SwiftXEO the strategy, voice, market, and audience to review future work against.