90-Day AI Implementation Plan

How to Use This Template

Fill in the brackets throughout. The plan is designed for a nonprofit of 3–20 staff. For larger organizations, add an additional week at the start for stakeholder alignment and approval processes.

This plan requires approximately 2–3 hours per week of executive director time in the first month, dropping to 1 hour per week in months 2 and 3. It does not require technical expertise, a dedicated project manager, or any new hardware.

Pre-Launch: Week 0 — Decision and Setup

Owner: Executive Director

Tasks:

Choose your primary AI tool (recommendation: start with one tool, not multiple)
Create organizational account (not individual accounts — use a shared org email for signup)
Review the tool's data terms — confirm there is an opt-out from using your data for model training, or that training opt-out is available
Share this plan with your team in a staff meeting — answer questions, acknowledge concerns
Designate one staff member as your internal AI champion — someone curious and motivated, not necessarily the most tech-savvy person

Decision to make before Week 1:

Which use case will you start with? Pick one:

(A) Grant writing and research
(B) Donor communications and stewardship
(C) Program reporting and impact

Starting with a single use case is not a limitation — it is how every successful implementation begins.

Month 1: Learn and Test (Weeks 1–4)

Week 1 — Foundation

Write your organization context prompt and save it in a shared document
All staff who will use AI read the first 15 pages of the AI Starter Kit
AI champion completes 3 tasks using AI this week and documents: what the task was, how long it took with AI vs. estimate of time without, what editing was required

Week 2 — First Real Outputs

Use AI for at least 2 real work tasks this week (not experiments — actual work)

Recommended for each use case:

Grant: Run prospect scoring on 3 current prospects using Prompt 1.1
Donor comms: Draft thank-you letters for this week's gifts using Prompt 2.1
Program reporting: Analyze last month's client feedback using Prompt 3.1
AI champion shares outputs in a brief team check-in (15 minutes maximum)

Week 3 — Team Expansion

Invite 1–2 additional staff members to try AI for their own work tasks this week
Hold a 30-minute team session: what is working, what is not, what questions remain
Begin building your shared prompt library — save prompts that worked well in a shared document

Week 4 — Month 1 Review

Tally: How many tasks were completed with AI this month? Estimated hours saved?
What is the output quality? What always needs editing vs. what is mostly ready?
Make a go/no-go decision on expanding use cases in Month 2
Update your AI policy if anything came up this month that the policy did not address

Month 2: Expand and Systematize (Weeks 5–8)

Week 5 — Second Use Case

Add a second use case from the three options listed above
Assign a staff owner for this use case who will be the expert and trainer for their area

Week 6 — Workflow Integration

Identify 2–3 recurring tasks in your workflow that AI should handle by default — not occasionally, but every time

Examples:

Weekly board update email
Monthly donor thank-you batch
Quarterly funder progress report
Write a process document for each: step-by-step instructions so any staff member can execute it. These process documents become part of your standard operating procedures.

Week 7 — Quality and Ethics Checkpoint

Review every external communication sent with AI assistance this month
Check for: voice consistency, factual accuracy, appropriate personalization
Review your AI policy against what actually happened — any gaps?
If any beneficiary-adjacent work has been done with AI, confirm it followed Section 6 of the Ethics Policy

Week 8 — Month 2 Review and Cost Check

Review your tool costs vs. time saved — is the monthly spend justified?
Is there a feature in a paid tier that would unlock a specific workflow you are unable to do on the free tier? If yes, evaluate the upgrade
Document 3 case examples of AI use from this month — task, time saved, quality assessment — for your files and for potential board reporting

Month 3: Optimize and Institutionalize (Weeks 9–12)

Week 9 — Third Use Case (Optional)

If Month 1 and Month 2 use cases are running smoothly, add a third
If either prior use case still has quality or adoption issues, stay there until resolved
Adding use cases before prior ones are solid creates confusion and erodes team confidence

Week 10 — Staff Training Formalization

Create a 1-page AI onboarding document for new staff joining [Organization Name]
Include: approved tools, how to access them, the 3 most important policies, and the 5 prompts every person in their role should know
Add AI onboarding to your standard new staff orientation

Week 11 — Advanced Applications

Identify one higher-value AI application you have not tried yet

Suggested for each use case:

Grant teams: Full grant application drafted with AI from RFP to submission
Donor communications: A full year-end campaign email sequence using Prompt 2.4
Program: A full impact report section using Prompts 3.1–3.4 in sequence
Document the process — this becomes a workflow template for future use

Week 12 — 90-Day Review and Planning

Complete the following assessment:

Time impact: Estimated hours saved per week across the team: ____
Quality assessment: On a scale of 1–5, rate the output quality for each use case: ____
Adoption rate: Percentage of eligible staff using AI at least weekly: ____
Cost: Monthly AI tool spend: ____
Biggest wins: Top 3 tasks most improved by AI: ____
Biggest gaps: Top 2 areas where AI did not deliver as hoped: ____

Decision for Month 4 and beyond:

Which workflows become permanent standard practice?
Which tools stay, which get dropped?
What is the AI budget for the next fiscal year?
What does the team need to continue building skills?

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