LimFlexBoundary-first control
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AI Judgment Wrapper

Add judgment before AI changes an external state.

This route is for existing AI workflows. LimFlex adds a reviewable decision package before a material action. The host product still decides whether to execute.

Best forRefunds, approvals, access, record changes, external release
Start withOne workflow and one material action
Compact flow

Read the workflow one line at a time.

No dense wall of text first. The detailed walkthrough stays below if you want it.

Step 1The AI proposes an action.

Example: issue a refund, approve a release, grant temporary access, or correct a customer record.

Step 2LimFlex checks the decision boundary.

Evidence, authority, policy fit, and downstream effect are checked before the host considers execution.

Step 3The result may be HOLD, not just yes or no.

Missing evidence can return to the same case. The workflow can be re-evaluated instead of silently failing or executing early.

Step 4The host still owns the action.

LimFlex returns a reviewable decision package. The host executes, withholds, routes, or records the outcome.

A wrapper around the workflow boundary.

LimFlex is not trying to become the model, the agent, or the business system. It wraps the workflow boundary where a proposal may become a material action.

  • Returns a decision state and reason
  • Can request missing evidence
  • Preserves host execution authority
Main valueReviewable action package
Typical buyer pain“We cannot let the AI do that directly.”

Start with one bounded workflow.

The first evaluation can be small: one workflow, one proposed action, one current review point, and one authority owner.

  • Historical or test cases are enough to begin
  • No full product redesign is required first
  • Commercial evaluation can stay fixed-scope
InputOne workflow
OutputGo / hold / route comparison

Not model tuning. Not prompt engineering.

Those mechanisms may still matter, but LimFlex addresses a different problem: whether a proposal should advance toward a material action under the current evidence and authority boundary.

  • Does not replace the AI model
  • Does not silently execute on its own
  • Does not claim production performance through public scenarios alone
BoundaryMaterial action only
AuthorityHost remains accountable
At a glance

The route in four compact cards.

TargetExisting AI workflows

Especially where the host system already exists and cannot be replaced casually.

DecisionMore than yes / no

Proceed, hold, route, or escalate are all possible.

EvidenceMissing evidence can return

Re-evaluation is part of the loop.

AuthorityHost keeps control

Execution authority does not quietly move into the wrapper.

Expand only if needed

Detailed public illustration

The original walkthrough is still available, but hidden by default to keep first-time reading lighter.

Open the 2-minute refund walkthrough
01

Customer requests

“I was charged twice. Please refund $4,800.”

02

AI proposes

The support agent finds the duplicate charge and proposes a $4,800 refund.

03

Controls check

Identity, transaction, and amount checks pass. Exception authority is still unconfirmed.

04

LimFlex evaluates

Evidence, authority, policy fit, and downstream impact are checked before action.

05

Decision artifact

HOLD. Missing evidence: contractual exception approval.

06

Host routes

The host withholds execution and requests evidence or authorized human review.

07

Evidence returns

An authorized reviewer confirms the exception and links approval evidence to the same case.

08

LimFlex re-evaluates

PROCEED. The required evidence and authority now support the action.

09

Host acts and records

The host may issue the refund and retain the decision, evidence, and outcome.

Illustration boundary: this public scenario explains the workflow. It is not itself production-performance evidence.

Open the scenario picker

See additional public scenarios for record correction, temporary access, and external release on the current public demo page version.

Or go directly to the evaluation path.

Bring one workflow.

For the first fit check, send the proposed action, the current review point, the available evidence, and who keeps execution authority.