Built so AI never touches a record it should not
NextRev is designed around one idea: the AI can read, draft, and prepare, but it never commits a record on its own and never guesses a field. Below is how that works, in plain terms. These are design principles and deployment options, not certifications we claim to hold.
Security by design, described honestly
We will not tell you NextRev is certified to a standard it has not earned. What we can show you is how it is built and where your data lives. Federal privacy guidance recommends matching safeguards to how sensitive each piece of information is, sorted into low, moderate, and high impact. NIST SP 800-122 calls these confidentiality impact levels. We use the same idea: the more sensitive the line, the tighter the controls and the more contained the deployment.
Six principles that keep AI off the wrong record
Each one is built into how the system runs, not a setting someone has to remember.
Provenance over generation
Every field NextRev writes traces back to a moment in the call. Anything it is unsure of is flagged for a person, never invented to fill a blank.
Approve before anything moves
The agent's approval is the only point a record is created, updated, or sent. Nothing leaves on its own and nothing writes silently in the background.
Your data stays in your accounts
Records live in the CRM, the storage, and the name you already own. We work inside your systems instead of pulling your data into ours.
Private-cloud or local option
For regulated lines, the system can run in a private cloud or on infrastructure you control, so sensitive audio and records do not have to leave your boundary.
Encryption in transit and at rest
Protecting stored and moving data with current encryption is standard practice here. A recording session is held to the same posture as the call it captures.
Least-privilege access
Every person and process gets only the access a task needs and no more, which limits how far any single mistake or compromised account can reach.
Built to track published security guidance
We design against widely used public standards. We follow their practices; we do not claim their certifications.
Public guidance treats encrypting data at rest (transit is covered separately by SC-8) as a baseline control, and the SIPREC recording standard requires a recording session to be at least as secure as the call it records, with TLS on the signaling path. We hold recordings and records to that line.
A core access-control principle says every account and process should hold only the rights its task needs. We scope NextRev's access to your systems the same way, and review it.
The leading AI risk framework puts a Govern function first: agree the data rules before the system runs. We do exactly that with you, in writing, at the paid diagnosis.
We set the data rules with you
Before anything connects, the paid diagnosis is where we agree what NextRev can read, where it runs, and what stays inside your boundary. You leave with that plan whether or not we build.
Request a DemoSources
- NIST, "SP 800-122: Guide to Protecting the Confidentiality of PII." Confidentiality impact levels and sizing safeguards to sensitivity. csrc.nist.gov
- NIST, "SP 800-111: Guide to Storage Encryption Technologies for End User Devices." Encryption of data at rest as a baseline. nvlpubs.nist.gov
- NIST, "SP 800-53 Rev. 5, SC-28: Protection of Information at Rest." Encryption of data at rest (transit is covered separately by SC-8), FIPS 140 keys. csf.tools
- IETF, "RFC 7866: Session Recording Protocol (SIPREC)." Recording session must be at least as secure as the call; TLS 1.2 on the signaling path. rfc-editor.org
- NIST, "SP 800-53 Rev. 5, AC-6: Least Privilege." Access limited to what a task requires. csf.tools
- NIST, "AI Risk Management Framework (AI RMF 1.0)." Govern, Map, Measure, Manage; governance before deployment. nist.gov