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Gamma Implementation: 30/60/90 AI Rollout That Sticks

Plan a practical Gamma rollout — owners, core AI loop, training, and adoption checkpoints — so the product becomes how the team actually works.

By Lee M.Updated Aug 18, 20266 min readFact-checked

Quick answer

Roll out Gamma in gated phases: freeze 90-day outcomes for AI presentation generation, name an owner, configure the core loop, train the people who must update it weekly, then review adoption before adding automations or extra add-ons. Treat Gamma implementation as phases — not a feature dump in week one.

  • Freeze 90-day outcomes
  • Name an admin owner
  • Days 1–30: core loop only
  • Days 31–60: train weekly users
  • Days 61–90: adoption review, then extras

Gamma rollout rules

  • Job cluster first Gamma is AI presentation generation. Do not implement it as a full LLM assistant or a video studio.
  • Adoption before add-ons If Harbor Growth will not open the product weekly, extra add-ons will not save the rollout.
  • Integrations are a phase Research names Google Workspace, Slack, and Zapier on the Gamma side — confirm the connectors your AI loop depends on.
  • AI is optional Research lists AI assistant, AI summaries, AI automation, and AI recommendations for Gamma.

Gamma 30/60/90

Gamma 30/60/90 rollout for AI presentation generation.
Treat Gamma implementation as gated phases — not a feature dump in week one.

1. Days 1–30: core loop only

Configure one workspace, one brand kit if you buy it, and a deck you will actually present. Success looks like: prompt a deck, edit three cards, and share a link a stakeholder can comment on. Worked example: Harbor Growth (weekly updates) delays optional extras until the core loop has a week of real use.

2. Days 31–60: train weekly users

Train the people who must update Gamma every week — not a one-time all-hands. Our snapshot records no trial length for Gamma — ask for an evaluation window in writing before you commit seats. Worked example: Harbor Growth (weekly updates) includes one sceptic user in training so adoption risk shows up before go-live speeches.

3. Days 61–90: adoption review

Check whether the core loop is actually used. Only then add automations, extra add-ons, or extra models. Worked example: Harbor Growth (weekly updates) reviews shared prompts, credits used, or workspace adoption (whichever matches AI presentation generation) before expanding scope.

Gamma checklist

Bring these questions to every demo

Ask vendors to show the workflow live, not just describe it.

  • 1Freeze 90-day outcomesMust-haves for AI presentation generation before configuration sprawl.
  • 2Name an admin ownerFields, users, and hygiene need a responsible party.
  • 3Schedule adoption reviewCheck core-loop usage before adding automations.

4. Lock plan gates before phase two

Map must-have workflows to the Gamma plan that unlocks them — demos often run above the tier you can afford.

Worked example: Founders and marketers who need fast AI-generated pitch decks freezes must-haves on the qualifying tier before adding automations.

5. Measure adoption on the core loop only

Track weekly completion of the primary workflow — not logins alone. If Gamma is empty after 30 days, pause new modules and fix the ritual.

Worked example: Founders and marketers who need fast AI-generated pitch decks reviews completion rates before enabling AI add-ons.

6. Expand scope only after 90-day proof

AI surfaces on Gamma include AI assistant, AI summaries, and AI automation. Turn on AI only after the core loop works without it.

Add automations, secondary hubs, or advanced reporting only after the core loop survives a full quarter.

Worked example: Founders and marketers who need fast AI-generated pitch decks schedules a 90-day review before buying add-on seats.

7. Lock plan gates before phase two

Map must-have workflows to the Gamma plan that unlocks them — demos often run above the tier you can afford.

Worked example: Founders and marketers who need fast AI-generated pitch decks freezes must-haves on the qualifying tier before adding automations.

8. Measure adoption on the core loop only

Track weekly completion of the primary workflow — not logins alone. If Gamma is empty after 30 days, pause new modules and fix the ritual.

Worked example: Founders and marketers who need fast AI-generated pitch decks reviews completion rates before enabling AI add-ons.

9. Expand scope only after 90-day proof

AI surfaces on Gamma include AI assistant, AI summaries, and AI automation. Turn on AI only after the core loop works without it.

Add automations, secondary hubs, or advanced reporting only after the core loop survives a full quarter.

Worked example: Founders and marketers who need fast AI-generated pitch decks schedules a 90-day review before buying add-on seats.

10. Lock plan gates before phase two

Map must-have workflows to the Gamma plan that unlocks them — demos often run above the tier you can afford.

Worked example: Founders and marketers who need fast AI-generated pitch decks freezes must-haves on the qualifying tier before adding automations.

11. Measure adoption on the core loop only

Track weekly completion of the primary workflow — not logins alone. If Gamma is empty after 30 days, pause new modules and fix the ritual.

Worked example: Founders and marketers who need fast AI-generated pitch decks reviews completion rates before enabling AI add-ons.

12. Expand scope only after 90-day proof

AI surfaces on Gamma include AI assistant, AI summaries, and AI automation. Turn on AI only after the core loop works without it.

Add automations, secondary hubs, or advanced reporting only after the core loop survives a full quarter.

Worked example: Founders and marketers who need fast AI-generated pitch decks schedules a 90-day review before buying add-on seats.

Frequently asked questions

  • How long should rollout take?

    Ninety days is enough for most SMB/mid teams if you freeze the job and defer extras. Longer programmes help when change management is the risk.

  • What if we also need a different AI job?

    Buy the second job as a second product (or a later wave). Gamma should not be stretched into a full LLM assistant or a video studio.

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