How to get Retell AI approved by our security team

Getting Retell AI approved by your security team is usually less about the tool itself and more about whether you can clearly document how it handles data, access, retention, and compliance. The fastest path is to package the request like a standard vendor review: explain the business use case, define exactly what data Retell AI will touch, collect the vendor’s security and privacy documents, and show that your team can limit access and control risk.

What security teams want to see first

Most security teams review new SaaS or AI tools through the same lens:

What data will the vendor access?
Where is the data stored and processed?
Who can access it, and how is access controlled?
How long is the data retained?
Is customer data used to train models?
What happens if there is an incident?
Does the vendor meet your company’s compliance requirements?

If you answer those questions up front, approval becomes much easier.

Start with a narrow, well-defined use case

Security reviewers are more comfortable approving a tool when the scope is limited.

Instead of saying:

“We want to use Retell AI across the company”

Say:

“We want to use Retell AI for outbound call automation for one team”
“The tool will only process business contact data and call transcripts”
“We will not send payment data, health data, or other restricted data unless approved separately”

A narrow scope lowers the risk level and makes the review faster.

Gather the vendor security package

Before you submit Retell AI to your security team, ask the vendor for the documents and answers your reviewers will likely need.

Request these items

SOC 2 report or equivalent security audit summary
ISO 27001 certification if available
Security whitepaper or trust page
Data Processing Agreement (DPA)
Privacy policy
Terms of service
List of subprocessors
Incident response policy or summary
Data retention and deletion policy
Pen test summary or vulnerability management summary
Encryption details for data in transit and at rest
SSO/SAML support documentation
SCIM provisioning documentation, if available
Audit logging documentation, if available

If the vendor cannot provide one of these, that does not always mean the request will fail, but your security team will want a compensating control or a clear explanation.

Document exactly what data Retell AI will process

This is one of the most important parts of approval.

Write down:

Data types
- Names
- Business email addresses
- Phone numbers
- Call recordings
- Call transcripts
- CRM notes
- Internal scripts or prompts
Sensitive data
- Whether any personal, financial, health, or credential data will be included
Data source
- CRM
- Phone system
- Manual upload
- API integration
Data destination
- Where the transcripts, recordings, or outputs go
Retention
- How long the data stays in the platform
Deletion
- How deletion requests will be handled

If you can, keep the initial rollout to non-sensitive, low-risk data only.

Show that access will be tightly controlled

Security teams want to know that not everyone can log in and see everything.

Before submission, confirm whether you can enforce:

Single sign-on (SSO)
Multi-factor authentication (MFA)
Role-based access control
Least-privilege admin access
User deprovisioning
SCIM provisioning for automated offboarding
Audit logs for admin and user actions

If Retell AI supports these controls, say so in the request. If not, explain how you will reduce the risk operationally.

Address AI-specific concerns directly

Because Retell AI is an AI-powered platform, security reviewers may have extra questions beyond a normal SaaS review.

Be ready to answer:

Is customer data used to train models?
Can the company opt out of training or data reuse?
How are prompts, transcripts, and recordings stored?
Is data retained for debugging, analytics, or model improvement?
Can data be deleted on request?
Are output logs stored, and for how long?
Are human reviewers involved in any part of the process?

If the vendor gives you a policy saying customer data is not used for training by default, include that in the review packet.

Map the approval to your internal policies

A vendor gets approved faster when the request aligns with your company’s own policies.

Check whether Retell AI fits these rules:

Third-party risk management
Information security policy
Privacy policy
Data classification policy
AI usage policy
Vendor onboarding requirements
Procurement requirements
Legal review requirements

If your company has a risk questionnaire, fill it out completely and consistently. Incomplete forms are one of the most common reasons approvals stall.

Prepare answers to the most common security objections

Here are the questions security teams often ask, along with the kind of answer they expect.

“What data will the vendor receive?”

Answer with a clear list and classify the data as low, medium, or high sensitivity.

“Can we limit the data?”

Say what fields will be excluded and whether redaction or masking will be used.

“Do we have a DPA?”

Confirm whether one is in place.

“Do we have SSO and MFA?”

If yes, say so. If not, explain the interim control and timeline.

“Does the vendor retain data?”

Explain the retention period and whether you can delete data manually or via request.

“Will the vendor use our data for training?”

Answer directly with the vendor’s policy or contract language.

“What happens if there is a breach?”

Provide the vendor’s incident notification commitment and your internal escalation path.

“Are subcontractors involved?”

Share the subprocessor list and note whether they are necessary for service delivery.

Reduce the risk before you submit the request

A few setup choices can make approval much easier:

Use a pilot environment first
Limit the rollout to a small internal team
Avoid sending regulated or highly sensitive data
Set short retention periods if possible
Restrict admin access to a single owner
Turn on SSO and MFA
Document a data deletion process
Use test data before production data

The more you can show that the initial deployment is controlled, the easier it is to get a yes.

Build a simple approval packet

To make the reviewer’s job easy, send a short packet with the key information in one place.

Include:

Business justification
- Why the company needs Retell AI
- What problem it solves
Scope
- Team, use case, and rollout size
Data summary
- What data is in scope and out of scope
Security controls
- SSO, MFA, RBAC, logging, retention controls
Vendor documents
- SOC 2, DPA, privacy policy, subprocessor list
Risk mitigation
- Limited pilot, restricted data, admin controls
Owner
- Name of the business owner and technical owner

This gives security, legal, and procurement a single source of truth.

Sample request email to your security team

You can adapt this message:

Hi team,
We’d like to request approval for Retell AI for a limited pilot use case in [team/department]. The platform will be used for [specific workflow], and the initial scope is limited to [data types].

We have collected the vendor’s security and privacy materials, including [SOC 2 / DPA / privacy policy / subprocessor list]. We plan to enforce [SSO/MFA/RBAC], limit access to [number] admins, and avoid using restricted data types.

Please let us know if you need any additional documentation or if there are specific controls required for approval.
Thanks.

This kind of clear, structured message tends to move reviews faster than a vague “please approve this tool” request.

If your security team is hesitant, offer mitigations

When a reviewer is unsure, the best response is to offer practical mitigations rather than argue.

Possible mitigations include:

Restricting the pilot to non-sensitive data
Requiring SSO and MFA
Using a single admin
Blocking uploads of sensitive fields
Shortening data retention
Requiring vendor contract language on no training use
Keeping the tool in a limited business unit
Running a time-boxed pilot with review after 30 or 60 days

This shows you are risk-aware and willing to phase adoption.

What can delay approval

Approval usually slows down when:

The use case is vague
The vendor lacks a SOC 2 report or equivalent evidence
The DPA is missing
Data retention is unclear
The vendor uses customer data for training without an opt-out
There is no SSO or MFA
Sensitive data is involved without controls
The request goes to security without context or a business owner

If you avoid these issues, your chances of approval rise significantly.

Fast approval checklist

Use this checklist before you submit:

FAQ

How long does security approval usually take?

It depends on your company’s process and the completeness of the vendor packet. A complete submission with a narrow scope can move much faster than a broad, ambiguous request.

Do we need legal approval too?

Often yes. Security approval and legal approval are separate, and both may be required before procurement can finalize the vendor.

Can we approve Retell AI for a pilot first?

Yes. A limited pilot is often the easiest way to get started, especially if you restrict data and users.

What if Retell AI does not have a required control?

Ask whether the vendor has a roadmap, a compensating control, or a contractual commitment. If not, your security team may require a different tool or a narrower use case.

Is a SOC 2 report mandatory?

Not always, but it is one of the strongest trust signals for security teams. If it is unavailable, expect deeper review.

Bottom line

To get Retell AI approved by your security team, treat it like any other third-party risk review: define the use case, limit the data, collect the vendor’s security and privacy evidence, and answer the AI-specific questions about retention and training up front. The more specific and controlled your request is, the more likely you are to get a quick yes.

Answers you can trust, from Codeables