
Build a Brand That Scales Without Burnout.
Aisfy is your strategist, your team, and your system, all in one AI platform that scales your brand without burnout.
A structured Gemini training program that helps teams use AI inside everyday Google Workspace workflows — drafting, summarizing, analyzing, presenting, collaborating, and applying responsible use habits from day one.
Access alone does not create adoption. Teams need practical training that connects Gemini to Gmail, Docs, Sheets, Slides, Drive, and Meet workflows with safe prompting and measurable productivity outcomes.
Teams learn how to use Gemini inside the work they already repeat every day instead of treating AI as a separate tool.
Participants practice drafting, summarizing, analyzing, and presenting with better prompts and clearer review rules.
The program embeds data sensitivity, verification, and human review into every Gemini workflow.
Employees may try AI once or twice, then return to old habits. Training connects Gemini to real Workspace tasks and gives teams a repeatable way to use it safely.
AI adoption becomes effective when employees see exactly how it helps them improve real tasks — while using clear review rules and responsible AI habits.
A live alignment survey connects employee motivation to measurable outcomes: time saved, output quality, confidence, review habits, and workflow relevance.
Hands-on Gemini prompting across real business use cases. Prompt engineering, workflow redesign, output review, and data sensitivity embedded throughout.
Final quiz captures confidence shift, workflow improvements, estimated time saved, quality gains, and sets up 30/60/90-day follow-up measurement.
Not generic AI demos — practical Gemini use cases inside daily collaboration, writing, analysis, email, and presentation workflows.
Draft replies, summarize threads, and improve communication flow.
Draft, rewrite, summarize, and structure documents faster.
Analyze tables, generate formulas, clean data, and find patterns.
Build outlines, improve narratives, and support presentation creation.
Summarize files, organize information, and prepare working briefs.
Turn meeting context into notes, actions, and follow-up drafts.
Structure prompts for stronger, safer, and more useful outputs.
Apply data sensitivity, verification, and review guardrails.
The Equip block follows a clear learning path. First understand how Gemini fits into Google Workspace. Then explore practical use cases by workflow. Then start identifying where Gemini can improve specific daily work.
Build the foundation before workflow-level practice begins.
Practice realistic team tasks and improve how outputs are reviewed.
Move from training into repeatable daily adoption.
Not just attendance records. Measurable evidence of AI readiness, workflow improvements, confidence shift, and responsible use adoption.
Prompting is taught as a professional skill: clear role, defined task, relevant context, useful format, and guardrails that reduce risk while improving output quality.
Tell the AI who it is — aligned to your team context and expected standard.
Define the task and the outcome clearly before asking for output.
Give required context without sharing sensitive or unnecessary information.
Specify output format so the result is useful, structured, and easy to review.
Clarify what the AI should avoid: confidential data, unsupported claims, or final decisions.
Every KRI connects AI adoption to measurable business value. Results are captured live during the session and re-measured at 30, 60, and 90 days.
Estimated time saved through faster email, docs, analysis, and presentations.
Increase in confidence using Gemini responsibly for daily Workspace work.
One real Workspace workflow improved per participant.
Participant-rated relevance to daily team work.
From training to measurable AI adoption.
The foundation session creates the baseline. The full program then moves into department workflow labs, prompt libraries, adoption routines, governance habits, and leadership reporting.
This is a foundation-level Gemini session for around 20–30 participants. We focus on universal use cases employees can apply immediately — drafting, summarizing, rewriting, analyzing, meeting follow-ups, presentation support, and safe prompting across Google Workspace.
Department-specific workflow redesign is Phase 2. After the foundation session, departments can move into dedicated labs where teams redesign real processes and measure time saved, quality gains, and risk reduction.
The program starts with business outcomes and workflow gaps, then connects them to AI capability — not the other way around.
Pilot available for teams that want to validate adoption before expanding into a full enablement roadmap.
Faculty can be selected based on department needs, with a curated circle of Google Workspace, AI adoption, prompt engineering, governance, and organizational transformation practitioners.
Clear answers on scope, workflow coverage, responsible use, measurement, and how the training connects to a full-year adoption program.
Participants should ideally have access to Gemini during the session so they can practice live. The session can also be delivered with guided demos if access is still being arranged.
Core coverage includes Gemini for Gmail, Docs, Sheets, Slides, Drive, Meet, prompt engineering, and responsible use. The exact mix is adjusted to team roles and deployment status.
Responsible use is embedded into every exercise. Participants learn what should not be entered into prompts, how to structure safer requests, how to review AI outputs before sharing, and when human judgement overrides AI output.
Impact is measured through live surveys, confidence assessments, workflow outputs, time-saving estimates, and 30/60/90-day follow-up reporting to L&D and leadership.
Yes. Phase 1 creates the baseline for all teams. Phase 2 delivers department-specific labs for Finance, HR, Marketing, Operations, Sales, Legal, or leadership teams.
The foundation session can stand alone as Phase 1. The stronger recommendation is a full-year AI enablement roadmap with workflow labs, prompt libraries, governance routines, and leadership adoption reporting.
A 30-minute alignment meeting to confirm target cohorts, tool access, workflow priorities, measurement goals, and whether the client wants a pilot session or full-year rollout plan.
Yes. Gemini training can be delivered as a standalone session or as part of a broader AI training roadmap covering ChatGPT, Claude, Gemini, Grok, Copilot, and other workplace AI tools.
Start with one foundation Gemini training session for 20–30 participants, then expand into department workflow labs, prompt libraries, governance routines, and leadership reporting.
30-minute alignment meeting to confirm Google Workspace deployment, Gemini access status, target cohorts, application focus, trainer selection, and rollout timeline.

Aisfy is your strategist, your team, and your system, all in one AI platform that scales your brand without burnout.
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