01
Map
standardize fragmented ERP, CRM, PSA, warehouse, and event data into bounded evidence fields
AGX tests which guardrails hold up against evidence before you rely on them. AGX Lite enforces approved guardrails at runtime, blocking non-compliant actions before they execute.
AGX: diagnostics + guardrail validation · AGX Lite: pre-action enforcement
Two layers, one control path: validate the guardrail first, enforce it only after it is approved.
Executives do not care about guardrails in the abstract. They care about margin, cash, forecast reliability, and control failures. AGX tests the operating guardrails that protect those outcomes before AGX Lite enforces them in live workflows.
Margin misses, cost overruns, realization leakage, and unexplained variance.
The causes are buried in daily work: stale contract terms, missed recovery, over-servicing, wrong staffing mix, and exceptions resolved too late.
AGX tests which guardrail would have reduced leakage on past cases, then AGX Lite enforces the approved check before the workflow advances.
DSO pressure, delayed invoicing, slow collections, and messy month-end close.
Value was created, but the evidence needed to bill, collect, approve, or close is missing, late, fragmented, or disputed.
AGX identifies the evidence boundary that protects cash conversion; AGX Lite requires the approved evidence before the live action proceeds.
Audit findings, policy exceptions, approval bypasses, remediation cost, and loss of trust in automation.
An agent can move faster than the approval chain. Without a tested boundary, it can act on incomplete evidence or outside delegated authority.
AGX validates the permitted action boundary before deployment; AGX Lite blocks, routes, or requests review before a non-compliant action executes.
AGX is not a generic workflow engine, and it is not passive analytics. It is a continuous policy engine that turns operational evidence into enforced business guardrails.
standardize fragmented ERP, CRM, PSA, warehouse, and event data into bounded evidence fields
generate candidate guardrails, backtest them against historical logs, reject weak policies, and tune thresholds
return allow, block, needs_evidence, or review_required inside existing workflows with explicit degradation rules
let agents prepare packets, request evidence, and route exceptions only inside the approved guardrail
An enforced policy checkpoint with source evidence, owner boundaries, inline response states, degradation behavior, and audit history.
Use AGX when the right guardrail is unknown, untested, or needs evidence before production. Use AGX Lite when an approved guardrail needs to run inside an existing product, workflow, or agent system.
AGX reconstructs how work actually flows, finds where value leaks, tests specific guardrails against historical evidence, and uses shadow mode when a change would alter the workflow path.
Diagnostics, paid pilots, control discovery, process replay, shadow testing, evidence packets, and rollout decisions.
AGX Lite is embedded at the action point. It does not discover controls, run analysis, or call AI models; it checks the live event against the approved policy, required evidence, and audit rules before the action executes.
Embedding deterministic decisions into workflow engines, internal tools, finance systems, and AI-agent platforms.
The same operating model extends to any workflow where decisions, evidence, policies, and outcomes can be reconstructed.
AGX shadow-tested a delivery-to-cash policy that pauses invoice readiness when billing evidence is missing, rate terms conflict, or scope recovery is unresolved.
View AGX Agent →AGX shadow-tested a margin-readiness policy that requires staffing and cost drift to clear evidence and owner review before forecast-ready status is accepted.
View AGX Agent →Start with one painful workflow, then extend to adjacent processes once the evidence model and shadow-testing loop are working.
AGX starts read-only. If the data cannot support a shadow-test, you stop. If it can, the pilot backtests candidate guardrails before any production rollout.
See pricing →Map the evidence schema, reconstruct historical execution, and quantify the risk.
Generate, backtest, reject, and tune candidate guardrails against your past cases.
Run approved guardrails as inline checkpoints while agents operate inside the boundary.
Short answers for the blockers that usually slow down governed agent adoption: workflow ownership, messy data, availability, and rule authority.
No. AGX is an inline checkpoint. Temporal, ServiceNow, SAP, or your existing workflow system handles the state machine. AGX handles the decision gate.
AGX provides the evidence schema and gap analysis. Your data team maps source data into bounded evidence fields; AGX tests whether that evidence can support a guardrail.
The degradation behavior is explicit. Depending on the workflow, AGX can fail open with mandatory post-hoc review or fail closed for high-risk cases.
No. AGX searches and tunes candidate guardrails inside a human-defined domain grammar. It rejects weak policies and only promotes the ones that survive historical replay and policy checks.