Zero retention by default.
Nothing is stored unless you explicitly opt in. The agent processes what it needs to do the work and does not quietly accumulate your data as a byproduct.
In healthcare, finance, and government, a clever agent is not enough. It has to be safe, accountable, and built to the standard of every market it operates in, and that standard has to be set on day one, not bolted on after something goes wrong. This page is how we do that.
The short version is this. Nothing about your data or your agents is left to chance or to trust alone. Data is handled with zero retention by default, agents run inside hard boundaries, every action is scored, and a person signs off on every change. If you are the person who has to answer for what an AI system does inside your organization, this page is written for you.
Nothing is stored unless you explicitly opt in. The agent processes what it needs to do the work and does not quietly accumulate your data as a byproduct.
We operate as a processor working inside your environment, and your existing systems stay the authoritative home for your records. Your data lives in your tools, not ours, and if we ever part ways, it stays exactly where it already is.
Where the rules of your market require data to be processed inside a specific region, deployments are built to run on in-region infrastructure, so residency is a design decision made up front, not a problem discovered later.
Data is protected in transit and at rest, and access is scoped and logged, so every action taken inside your systems is accountable and reviewable.
We are careful with the language here, because in this area careless language is a liability.
We do not claim certifications we do not hold.
What we do is design every deployment to meet the requirements of the frameworks that govern your region, and we say exactly that.
Deployments are architected to meet the data-residency and privacy requirements that apply to you, including UAE PDPL and the relevant health-sector guidance in the Emirates, and HIPAA and GDPR principles for the operations we serve internationally.
Jurisdiction-specific documentation is prepared per deployment, so what applies to your specific engagement is written down for your specific engagement.
If a certification matters to you and we do not yet hold it, we will tell you plainly rather than imply otherwise.
plainlySecurity is not only about where data sits, it is about what the agent is allowed to do and whether anyone is watching. Our agents run inside hard scope boundaries, answer only from your verified information, and escalate anything they do not know rather than guessing.
QualiCore, our QA engine, scores every interaction against the standards that matter and shows the reason behind every score in plain language a manager can read. A person on our team signs off on every improvement before it ships, so the agent gets better over time without ever changing behavior unsupervised. And a full, reviewable record of what the agent did and why is kept, ready for your own review or an auditor's. Autonomy here never means unaccountable.
The strongest proof that an agent respects its limits is that it cannot exceed them by design. Take our clinic front desk agent. It collects a first name, a phone number, and a treatment interest, and nothing else. It does not take clinical information, it does not give medical advice, and it does not hold a clinical conversation, because a clinical conversation is architecturally out of its scope and routes to the clinic's own team instead. The boundary is not a promise in a contract, it is built into what the agent is able to do, which is the only kind of boundary worth trusting.
exactly where the agent left off
a person picks up
with everything they need
Sensitive cases, edge cases, and anything outside an agent's scope escalate to your team with the full context attached, so a person picks up exactly where the agent left off, with everything they need.
The handoff to a human is designed in as a feature, not treated as a failure,
because in a regulated operation the ability to put a person in the loop at the right moment is not a weakness, it is the requirement.
Inbound service consent
outbound or marketing contact
Consent is not one thing. The permission a customer gives to be helped on an inbound call is not the same as permission to be contacted later with marketing, and treating them as the same is exactly how businesses get into trouble. We keep them separate. Inbound service consent and outbound or marketing contact run on their own consent regimes, per the rules of each region we operate in, and we never bundle one into the other.
The person who has to answer for what an AI system does inside a regulated or high-trust operation
not
can it do the job
but
what happens when something goes wrong and will we be able to account for it
this page is the answer, and the call is where we go through the specifics of your regime.
No, not by default. Deployments run with zero retention unless you explicitly opt in, and your existing systems remain the system of record, so your data lives in your tools rather than ours. The agent processes what it needs to complete the work and does not accumulate your data as a byproduct.
Book a call and we will walk through exactly how a deployment would handle your data, your region's rules, and your governance requirements. If there is a bar you have to clear, tell us what it is, and we will tell you honestly how we meet it.