Start with one real staff task: a relationship manager dictates a fictional call note into the bank's approved system. The review must map the microphone input, speech model, optional rewrite, temporary and saved copies, final destination, account traffic, and operational telemetry. A vendor's “private” headline is not enough to approve customer data. The bank needs evidence tied to the specific signed app version and configuration it will deploy.
SuprFlow is a useful example of why this distinction matters. The current release (1.0.0) recognizes speech on an Apple Silicon Mac and uses local default cleanup. A user can also select Cloud API formatting, which sends transcript text and instructions to a chosen provider or custom endpoint. The app persists raw and formatted history, can retain clipboard history, uses a temporary clipboard paste for ordinary insertion, and contains release telemetry and license traffic. A bank should require a release-specific data-flow disclosure and test the signed build before approving a pilot.
A vendor questionnaire the bank can use
| Topic | Ask the vendor to supply | Verify during the pilot |
|---|---|---|
| Product and build | Signed installer, version, update channel, software bill of materials, and supported macOS/hardware. | Check the installed signature, version, update behavior, and managed-device deployment. |
| Audio recognition | Exact model and whether raw audio leaves the laptop in each mode. | Use synthetic speech and an approved network monitor; account for model download separately. |
| Transcript rewrite | Every provider and endpoint that can receive text, including custom or remote Ollama settings. | Confirm the enforced setting, not merely the default shown in a screenshot. |
| Training and retention | Contract terms for the vendor and every hosted formatter, including subprocessors, logs, abuse review, deletion, and backups. | Verify plan-specific controls and whether user consent or admin override changes them. |
| Local copies | Raw, cleaned, and formatted history, clipboard history, temporary audio, diagnostic logs, backups, and deletion behavior. | Inspect a synthetic entry before and after deletion and after relaunch; review any collected logs. |
| Telemetry and account data | Event schema, payload examples, identifiers, destination, retention, and an error-string audit. | Capture synthetic release traffic and compare it with the vendor statement. |
| Administration | MDM package, configuration enforcement, allowed endpoints, update policy, offboarding, and support SLA. | Attempt to change a restricted mode as a pilot user. Record whether a central policy actually prevents it. |
| Final record | Supported CRM or document destinations and focus/insertion behavior. | Check whether text lands in the correct field with the correct access and retention label. |
Do not assume a feature is centrally enforceable merely because an individual user can select it. SuprFlow 1.0.0 has no confirmed firm-wide enforcement of local-only formatting or history retention. A bank may need the vendor to add such controls before a broad rollout.
Test the risk that the text itself is wrong
Build a synthetic note with a fake customer name, amount, date, negative statement, and follow-up owner. Run it in the exact app and formatter mode staff would use. Have a reviewer mark omitted qualifiers, reversed negations, transposed numbers, wrong names, and text pasted into the wrong record. A polished paragraph can be more dangerous than obvious rough text if it quietly changes meaning. The bank should define which human review is mandatory before a note becomes a customer record or communication.
For US FINRA member firms, FINRA's 2026 GenAI oversight discussion explains that existing obligations continue to apply and raises supervision, communications, recordkeeping, vendor risk, testing, privacy, and output accuracy. It is not a blanket rule for every bank in every jurisdiction and does not approve SuprFlow or any competitor. The bank's legal, compliance, security, and records owners must map their own obligations.
Decision record for a limited pilot
Record the approved signed build, managed Mac group, permitted speech model and formatter, endpoint allowlist, provider agreements, local-history decision, clipboard manager policy, telemetry review, official destination, pilot users, review procedure, and stop criteria. Re-evaluate after an app update or provider change. If the vendor cannot supply the evidence, run only with synthetic data until the gap is resolved.
Questions people ask
Is local speech recognition enough for bank approval?
No. It answers the audio-recognition step. Text formatting, local retention, clipboard handling, telemetry, account traffic, destination storage, administration, and accuracy remain to be reviewed.
Can a bank say customer notes will never train AI?
Only after identifying every recipient and mode and obtaining the applicable contractual and technical evidence. SuprFlow's local default content path does not submit dictation to a training service in the current release, but optional hosted formatting sends text to another provider whose terms govern its use.
Does a SOC 2 report settle the decision?
No. A report can provide useful evidence about controls within its stated scope and period. The bank still needs a configuration-specific data-flow review, contract, signed-build test, and its own risk acceptance.