WP 2FA is a focused 2FA plugin with strong policy controls. It stores enforcement settings in the wp_2fa_settings option, including which roles are required to enroll, which methods are allowed, and grace period length. Per-user enrollment lives in usermeta keys like wp_2fa_enabled_methods and wp_2fa_totp_key, with backup codes in wp_2fa_backup_codes. The admin can also turn on an audit log table to track 2FA events.

SleekAI maps the policy, the user's current role, and the non-secret enrollment state into the prompt. The bot can tell a user that 2FA is required for editors with a 7-day grace period, that they have 3 days left, and that the site only allows TOTP and email. Display conditions scope the bot to logged-in users and conversations log model, tokens, and origin URL.

Generic bots fall apart here. They confuse WP 2FA with the Two Factor plugin, miss the policy entirely, and tell users to enable methods that are blocked by site policy. SleekAI reads the actual settings, so the next step it suggests is always one the user is allowed to take.

WP 2FA is one of the more opinionated 2FA plugins for WordPress. It supports strict per-role enforcement, a grace period for first-time enrollment, multiple methods, and an audit log. Those features work well for organizations that need real compliance.

The friction shows up at enrollment time. A wave of editors hits the grace period at once, the help desk fields the same questions for a week, and a small number of users miss the deadline and lock themselves out. SleekAI reduces that pain.

The bot reads the policy and the user's state, so its answers reflect the actual rules: only the methods the policy allows, the exact days remaining in the grace period, the missing backup codes. It walks the user through enrollment on the WP 2FA profile screen step by step. It nudges them to save backup codes before logging out, which is the single biggest cause of later lockouts.

Security stays clean. The bot does not read or echo TOTP secrets or backup codes. It cannot enroll a user from chat, since enrollment requires the user to confirm a code themselves.

Display conditions restrict the bot to logged-in users, and the guideline filter blocks credentials in chat. Conversations log model name and tokens per call, so leadership can see exactly how much it costs to deflect each enrollment question and tune the rollout.