Most teams aren't held back by a lack of interest in AI — they're held back by how to give it access to real data without creating new risk. Actioner is built so that question has a clean answer. Intelligence comes to your data; your data does not get pooled, copied, or handed over. And because the AI proposes rather than acts, you stay in control of anything that leaves your hands.
Each concern below is addressed by how the product is built — not by a policy you have to trust us to follow.
No. The AI reaches each system through the user's own credentials, so it inherits exactly their existing permissions — never more.
On the user's own machine. Actioner is a local desktop app; credentials and captured data sit in an embedded store on the device, not in our cloud.
No. Data in transit is proxied, not stored. Actioner retains no customer data — and the relay itself can be self-hosted to remove us from the path.
Far fewer. Data is reached in place via connectors rather than replicated tool-to-tool, so there are no standing copies spread across systems to defend.
The common pattern aggregates everyone's data into one store and points a model at the pool. Actioner doesn't aggregate; access is scoped to the individual's own credentials.
The connector architecture relays data between Claude and the user's machine. That relay is a pass-through — data crosses it, but Actioner keeps none of it. Teams that don't want data crossing our infrastructure at all can run the relay themselves.
The other worry isn't where data goes — it's what the AI might do. When you're communicating on behalf of customers, an autonomous agent acting on its own is a real risk. Actioner is built as an assistant, not an autonomous agent: it does the analysis and the legwork, then hands you a decision with the evidence behind it. The action is always yours.
The usual way to give AI a complete picture is to integrate tools and replicate their data into one place. Every copy is a new liability. Actioner avoids the copies.
| Dimension | Integrate & replicate | Actioner — reach in place |
|---|---|---|
| Data copies | Standing copies spread across many systems | Reached on demand, then gone — no standing copies |
| Access scope | Model reads a shared, aggregated pool | Scoped to each user's own credentials |
| Breach blast radius | Vendor breach exposes pooled customer data | No pooled data to expose; relay holds nothing |
| Maintenance | Brittle integrations to build and keep alive | Connectors reach the source directly |
| Residency | Data lives in the vendor's cloud | Data stays on the user's machine |
This overview describes Actioner's architecture and intended data handling for evaluation purposes. For formal security review, request current documentation, subprocessor details, and any compliance attestations from your Actioner contact before deployment.
If your team is being asked to enable AI but stuck on how to do it safely, the friction is almost always about data: where it goes, who can see it, and what's left behind. Actioner removes that friction rather than adding to it.
It's faster — nothing to migrate, no integration project to staff. It's safer — access is scoped to the individual, data stays local, nothing is retained, optionally not even in transit, and the AI proposes while your team keeps the final action. It's the same frontier model your team already wants, working over complete data without pooling it anywhere.