Trust Fabric · Verified ActionsGoverned, auditable AI workflows, across the systems you already run.
Verified Actions is the governed action boundary between AI and the systems it touches. When an assistant or agent does something consequential, moving money, writing to a system of record, accessing customer data, the action runs through a policy gate, can require human approval, and produces an independently verifiable receipt.
Not more AI connectors. One governed action path.
Verified Actions sits between any AI surface and the target system, so every consequential action flows through one place where policy, evidence, and accountability live.
Enterprises don't need more AI connectors. They need governed, auditable action paths, policy, evidence, and accountability in a single place, across every system your AI touches.
Real work for the business. Control for security.
For the business
- AI workflows connected to the systems you already use
- A library of approved, ready-to-use actions grouped by business function
- Assistants and agents that do real work, not just describe it
- Human approval built into high-stakes workflows
- One governed path, instead of ad-hoc, ungoverned integrations
For security & compliance
- A policy gate before consequential actions: allow, deny, escalate, or require attestation
- Credentials kept out of the AI's prompt context, managed under the boundary
- Tamper-evident receipts of the full action path
- Human or domain-expert approval cryptographically bound to high-stakes actions
- Portable evidence, verifiable independent of any vendor dashboard
Curated connector packs, not a raw firehose.
Approved actions are packaged by business function rather than handed over as a raw catalog of capabilities. Turn on the packs your team needs; each one is curated, policy-bound, and witnessed.
Intent, decision, accountability, execution, evidence.
Checked before it runs
Verified Actions runs L2 in its enforcer posture: a policy witness evaluates a consequential action against your rules before it executes, and can allow, deny, or escalate it. The decision itself is signed evidence. The same L2 layer can also run as a sentinel — witnessing policy conformance on paths outside this action boundary. See Attexa Witness.
Bound to a named approver
For high-stakes actions, a credentialed person's approval is cryptographically bound to the exact action: identity, claim type, request, and a signed decision. Verifiable forever, not a checkbox to trust.
Secrets stay out of the loop
Credentials are managed under the action boundary, never placed in the AI's prompt context. The evidence proves a credential was used under policy without ever exposing the secret value.
A certificate anyone can verify.
Every governed action can produce a tamper-evident certificate bundle, verifiable by a regulator, an auditor, or a counterparty, without trusting the AI vendor, the connected-system vendor, or Attexa.
What it proves, and what it doesn't.
Proves the action path: what was attempted, whether policy allowed it, who stood behind it, what executed, and what resulted.
A governed boundary across multiple AI surfaces and connected systems, with portable evidence verifiable independent of any vendor.
Does not claim the AI made the right business decision, and does not require every system to route through one specific substrate.
Does not enforce actions unless routed through the action boundary; Sentinel-style conformance witnessing belongs to the broader Attexa Witness fabric. Does not make you compliant; it produces the evidence compliance requires.
Verified Actions turns AI integrations into governed, auditable workflows: consequential actions policy-checked before they run, high-stakes actions backed by accountable human approval, and every governed action producing independent, portable evidence.
Across whatever AI surfaces and connected systems you adopt.