Agent requests action
A consequential execution moves toward a downstream system.
Runtime authority active
Who authorized
this exact execution?
AI agents can reach the system. Access does not establish authority for every action they attempt.
Follow the executionLive execution request
PAYMENT.RELEASE.0084
Execution held
- Reason
- Authority not recorded
- Required response
- Named owner approval
- Downstream state
- Payment unchanged
- Next
- Verify or reject
Jochanni Labs
“Jochanni Labs is building DAL-X (Decision Authority Layer – Execute), an application that stops consequential AI agent executions, at runtime, until valid authority is recorded and verified, so unauthorized actions do not run.”
Existing access controls show what an agent can reach. Logs show what already happened. DAL-X establishes who authorized the exact execution before it affects a downstream system.
The enforcement boundary
The action stops before consequence.
DAL-X intercepts
The action stops at the runtime enforcement boundary.
Authority is evaluated
Identity, scope, evidence, freshness, and approval are verified.
A state is returned
The user sees the decision, exact reason, required response, and next step.
No authority, no execution.
Primary product
DAL-X
Runtime authority for consequential AI agent execution. Missing or invalid authority means the action does not run.
- For
- Enterprises deploying autonomous agents into consequential workflows
- Controls
- The point between agent output and downstream execution
- Returns
- Decision state, exact reason, required response, and what happens next
Jochanni Labs explainerRuntime authority
Before DAL-X enforcement
Decide What To Investigate And What Can Continue.
CAIO-X
Visit CAIO-X- Problem
- A business problem has not yet been translated into a disciplined AI investigation.
- Owner
- The executive deciding where AI work should begin.
- Output
- A ranked Investigation Brief.
- DAL-X handoff
- Defines what should move toward evaluation before DAL-X governs execution.
Decision Governance Review
See the review- Problem
- An AI-assisted workflow is running without a recorded decision or clear authority limits.
- Owner
- The workflow owner, evidence validators, and named executive sponsor.
- Output
- Up to ten workflows reviewed in three working sessions within ten business days after evidence is received. Each gets a Keep, Downsize, Replace, or Kill disposition.
- DAL-X handoff
- Produces the signed authority requirements engineering can configure and test in DAL-X.
The accountable enterprise
The buyer owns the decision to let agent output into production.
The workflow executive sponsors the control. The CIO or Chief AI Officer may own the budget. Security, risk, compliance, legal, and internal audit may require enforcement.
Triggers
- Rogue agent incident
- Board concern
- Regulatory review
- Internal audit finding
- EU AI Act readiness
- Production launch
- Disputed execution
Consequences
- Financial exposure
- Customer harm
- Investigation time
- Production interruption
- Delayed deployment
- Agent suspension
Paid enterprise pilot
One execution path. Thirty days.
Bring one operating or deployment-ready agent, the accountable owner, and access to one consequential workflow. Jochanni Labs governs one action before it reaches one downstream system.
01
One agent
02
One consequential action
03
One downstream system
04
Thirty days
You bring
The agent, workflow owner, consequential action, and downstream environment.
We govern
The authority requirement at the point where the agent attempts to execute.
The pilot proves
Whether the execution can be held, explained, authorized, and released without ambiguity.