Approved-knowledge grounding
Orvera's AI agents answer only from the institution's own approved knowledge.
Orvera runs the voice, chat and digital queues at private non-profit and for-profit institutions, online universities and EdTech platforms. Financial aid, admissions, registrar, student accounts and learner support, resolved end to end, with 100% of human-handled conversations audited.
Orvera AI scores 100% of recruitment and aid conversations against the institution's own misrepresentation scorecard, its own staff and external providers under its brand alike. GEN-25-01, issued January 16, 2025, states that an institution may be responsible for the consequences of any misrepresentation committed by an external service provider it engages, with remedies reaching a fine and limits on Title IV participation.
A quality program on a sample
Orvera
Orvera AI handles six use cases for private non-profit, for-profit and online institutions and EdTech platforms: verification and missing-document chase, aid status and award-letter explanation, learner access at term start, melt prevention in the deposit window, a live compliance guardrail on recruitment calls, and the misrepresentation scan. The statements GEN-25-01 names get said out loud, on the phone, one call at a time.
A student is selected for V1, V4 or V5 and the aid file sits incomplete in the SIS while portal notices go unread. Orvera calls out, names the exact document for that tracking group, states the deadline, and books the V4 identity appointment.
Grant · loan · work-study · net cost · balance due
Read from the aid module, not worked out on the call.
A student or contributor calls after an award notice or an ISIR correction, and the counselor spends minutes working out which of the five figures they mean. Orvera reads the live award from the SIS aid module and explains each component against approved knowledge.
Login, MFA and course-access failures spike in the first ten days of a term, and the desk is staffed by student workers who turn over every year. Orvera resolves resets, MFA re-enrollment and LMS enrollment-sync faults against the identity provider and the ITSM queue.
Identified across the CRM, the SIS and the aid module
The summer campaign runs on a skeleton team. This does not.
A deposited student has not cleared a required matriculation step by a date threshold, and the summer campaign runs on a skeleton team. Orvera calls, identifies the specific blocker across the CRM, SIS and aid module, and resolves what it can end to end.
A claim starts to leave approved knowledge.
Approved answer surfaced · drift flagged · disclosure prompted
A human enrollment rep is on a recruitment call and a claim starts to leave approved knowledge. Orvera surfaces the approved answer in the moment, flags the drift while the call is live, prompts the required disclosure, and writes the record to compliance.
A ranked exception queue, from every conversation
An exposure nobody can size becomes a measured one.
The trigger is every human-handled recruitment conversation, inbound and outbound, by the institution's own staff or by an external provider under its brand. Orvera scores all of them against a misrepresentation scorecard and sends compliance a ranked exception queue.
Orvera AI connects to the systems an institution already runs: the SIS and its aid module, the admissions CRM, the LMS, the identity provider and the ITSM queue. The institution's own approved knowledge, required disclosures and tracking-group rules are turned into structured workflows. Orvera's AI agents reach production through a structured lifecycle built for live contact center environments.
Your approved knowledge, required disclosures, tracking-group rules and past interactions are turned into structured workflows Orvera's AI agents follow.
Workflows are tested across real scenarios for accuracy, escalation handling and compliance before a single live call.
Orvera's AI agents go live through a defined process, monitored and connected to your SIS, admissions CRM, LMS, identity provider and ITSM queue.
Live performance feeds back into the workflows, sharpening resolution and compliance week over week.
Orvera AI lands full production deployment in 3 to 6 weeks on the SIS, CRM, LMS and identity systems an institution already runs. The aid calendar is federal and it does not move. The institution's own approved knowledge and required disclosures are mapped into executable logic, then tested and validated across scenarios before a single live call.
to full production deployment.
Timelines depend on workflow complexity and enterprise requirements.
Orvera AI runs under the institution's direction and control, which is the arrangement 34 CFR 99.31(a)(1)(i)(B) describes. The FERPA school-official provision permits an outside party to be treated as a school official where it performs a function the institution would otherwise staff itself, sits under the institution's direct control for the use and maintenance of education records, and is bound by the redisclosure limits at 99.33(a).
Orvera's AI agents answer only from the institution's own approved knowledge.
Under the institution's direction and control, bound by the redisclosure limits.
Transcript, summary and disposition, for your own staff and your providers alike.
Permissions, guardrails and policy, configured per channel and use case.
An institution starts before the cycle opens, and Orvera AI builds and runs the queue on the SIS, CRM, LMS and identity systems already in place. Full deployment lands in 3 to 6 weeks. The aid calendar is federal and it does not move.