CAPABILITY · OSWORLD TASK SUCCESS
The technical objection is gone. Agents now succeed on real computer tasks two out of three times, up from roughly one in ten just two years ago.
Stanford HAI, 2026 AI Index Report
EARNED AUTONOMY FOR AGENTS
Turn agent performance into earned authority.
Self continuously evaluates real-world agent performance, allowing agents to operate with less human oversight.
REQUEST RECORDED
SEE HOW IT WORKS
PRIVATE PILOTS / 2026
THE PROBLEM
Agents got capable faster than anyone learned to trust them.
Agents are getting more capable, and enterprises are deploying them faster than ever. Neither trend says which agents have earned less oversight — so every one still gets a human watching every move.
DEPLOYMENT · ENTERPRISE APPS WITH AGENTS
Agents are arriving inside the software enterprises already run, whether or not anyone has decided how much those agents are allowed to do.
Gartner forecast, August 2025
THE GAP · GOVERNANCE FORECAST
Gartner's own diagnosis: enterprises treat autonomy as binary — locked down or fully trusted — with nothing in between and no way to move.
Gartner, May 2026
THE EVALUATION LAYER
Evaluate agents in the context that matters.
Self evaluates agent performance against human oversight and downstream business results — not just whether a workflow technically completed.
SIGNALS IN
Agent behavior
What the agent did, across the real work it runs every day.
Human judgment
How people reviewed, corrected, or escalated it.
Business outcome
What ultimately happened downstream, and what it cost.
Self uses these signals to understand whether an agent is becoming more reliable in real work.
SELF EVALUATION ENGINE
Evaluates every agent you run on the work it actually does.
RUNS CONTINUOUSLY
WHAT SELF MAINTAINS
Capability
What the agent has demonstrated it can reliably handle.
Learning
What it should carry forward from experience to perform better next time.
Authority
What it should be allowed to do without human approval.
THE AGENT PROFILE
Self gives every agent a living operating profile.
Three readings Self keeps current for every agent, in the context of the work it actually does — never as one score for the agent as a whole.
LIVING PROFILE
Accounts Payable Agent
Production · vendor verification and invoice matching
CAPABILITY
Know what the agent has proven it can handle.
Vendor matching
Existing vendors
Strong
New vendors
Developing
Ambiguous vendors
Needs review
Competence is contextual. The same agent can be dependable on familiar work and unproven at the edges of it, and Self holds both readings at once.
LEARNING
Turn real-world experience into better future performance.
Self identifies useful patterns from repeated experience and helps approved knowledge carry forward, so the same correction stops arriving twice.
AUTHORITY
Give agents more responsibility where they've earned it.
Refunds
Routine, low risk
Act
Moderate risk
Act + audit
High risk
Ask
Restricted
Deny
Self helps organizations define and continuously refine where agents can act independently and where people should stay involved.
EARNED AUTONOMY
Autonomy grows with demonstrated performance.
Oversight is set per class of work, not once per agent, and it moves in both directions. Select a stage to see how the work runs there and what a person is still responsible for.
STAGE 04
Delegated execution
- Posture
- Standing authority
- How the work runs
- The agent handles proven work independently, much the way a defined role does.
- What a person does
- Sets the ceiling, reads the record, and can withdraw authority at any time — which takes effect immediately.
- What moves work here
- A sustained record on this class of work, within the authority the organization has agreed to delegate.
STAGE 03
Exception review
- Posture
- Bounded autonomy
- How the work runs
- Routine actions complete without a person. Anything unusual or high-consequence routes to a human.
- What a person does
- Handles the exceptions the agent surfaces, rather than the queue of routine work behind them.
- What moves work here
- Demonstrated performance on the exceptions themselves, not only on the happy path.
STAGE 02
Selective review
- Posture
- Narrow autonomy
- How the work runs
- The agent acts within stated limits, and a defined share of its work is checked afterward.
- What a person does
- Reviews the sample, and investigates anything the sample turns up.
- What moves work here
- A consistent record on the narrow work the agent has already been allowed to do.
STAGE 01
Full review
- Posture
- Every action checked
- How the work runs
- Nothing takes effect until a person approves it.
- What a person does
- Reviews every action — and every one of those reviews becomes part of what the agent is judged on.
- What moves work here
- Every agent starts here. Work only moves up after it has been done well, in production, for long enough to mean something.
THE DIFFERENCE
From observability to autonomy.
Observability helps teams understand agent behavior. Evaluation helps them judge it. Self decides when that behavior is reliable enough to remove supervision.
Observability
Understand what happened
Traces, logs and replays. You can see every step an agent took and find the one that broke — once somebody goes looking. Nothing about the record changes what the agent is allowed to do tomorrow.
Evaluation
Understand how well it performed
Scores and quality measures on runs and outputs. You learn how good the work was. You still have no basis for deciding which of it a person can stop checking.
Self
Decide what to trust it with next
Self reads the same work in the context of human oversight and business results, and turns it into what the agent is allowed to do without a person. Supervision falls where it has been earned, and returns the moment it should.
THE RESULT
Better agents. Less supervision.
As agents demonstrate stronger performance, Self moves work from full review, to selective oversight, to autonomous execution — and pulls it back the moment the record says it should.
Actions decided
0
Runs without a person
4%
Every action starts under full review, and a person sees each one before it happens.
THE BUSINESS CASE
Turn AI capability into operational capacity.
Agent spend becomes capacity only when the work stops needing a person. Self is what moves it there, one class of work at a time, and what makes the move defensible.
- Understand where the agent is strong
- Improve how it performs
- Delegate more work safely
- Fewer actions routed to human review
- People move from approving work to handling exceptions
- Throughput grows without matching headcount
- Agents improve from the work they already do
- Automation expands one class of work at a time
- High-risk decisions stay with people, by design
Capability is demonstrated. Authority is earned.
REQUEST RECORDED