Plan an MFA or password manager rollout across the company
Builds a phased rollout plan with pilot groups, user communications, support prep, and handling of edge cases.
The prompt
Help me plan a company-wide rollout of [MFA / phishing-resistant MFA (passkeys or security keys) / a password manager].
Organization: [size, locations, remote vs. office, frontline or shared-device workers]
Tool: [e.g. "Microsoft Authenticator via Entra ID", "YubiKeys", "1Password", "Bitwarden"]
Current state: [e.g. "MFA only for admins", "passwords in spreadsheets"]
Deadline or driver: [cyber insurance requirement, audit, incident]
Helpdesk capacity: [team size, hours]
Plan:
1. Phases: IT pilot, a friendly pilot group, then waves by department. Admins and high-risk roles (finance, HR, executives) early.
2. Policy decisions to make first: allowed methods, enrollment deadline, what happens after it, lost device process, break-glass accounts.
3. Edge cases: people without company phones, shared devices, accessibility needs, staff who travel, service accounts that cannot do MFA.
4. Communications: announcement, how-to guide, reminders, and the "enforcement starts" notice, with timing.
5. Helpdesk prep: expected ticket spike, scripts, secure identity verification for resets (the most attacked process during rollouts).
6. Success metrics: enrollment percentage by wave, ticket volume, legacy authentication blocked.
Return: a phased timeline table (Phase | Who | Dates | Success criteria to move on), a decisions checklist, a user announcement email under 150 words, and a top-5 risks list with mitigations.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Projects & Operations prompts
What to fill in
- e.g. "MFA only for admins", "passwords in spreadsheets"
- cyber insurance requirement, audit, incident
- team size, hours
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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