SmartifyAI Training Workshops That Start Your Team Right
A workshop opens the door. What happens in the weeks after decides whether it stays open.
Your team tries prompts on tasks they actually do, learns what is safe to share, and practices checking output. We treat the session as the first step of a curriculum your people learn and keep.
- What it includes
- A hands-on sessionYour own tasks, sharing rules, output checks, and a written set of prompts that worked
- Typical timeline
- Session plus a few weeksThe habit forms or fades in the weeks after, so we plan for follow-up
- Who it is for
- Teams new to AIAI is already in the building, with no shared way to use it
A workshop is the entry point, not the whole curriculum
A single session does a few things well. Your team sees examples tied to their own work, tries prompts on tasks like drafting a client email or summing up a long support thread, and the people who were nervous leave feeling they can use it.
Now picture the Monday after. Someone hits a task the workshop skipped. Someone else is not sure what they may paste into a chat tool. A manager notices the output does not sound like your company. With no one to ask and no rules to lean on, most people stop. That is the pattern a one-off event runs into.
If your team has barely touched AI, a workshop is the right place to begin. You learn fast who is keen, where the real use cases are, and which questions keep coming up. If you already know you will not make time for follow-up, wait until you can give it a few weeks of attention. When the team needs deeper practice, Prompt Engineering Labs are the next step, and AI Training and Development covers the wider curriculum.
Signs your team needs a workshop now
Two or three of these usually mean it is a good time to book one. None of them is about wanting to try something new. They are about AI already being in the building without a plan.
People use free tools on their own
Someone pastes a client contract into a chatbot for a summary and nobody has said whether that is okay.
Licenses sit unused
Leadership rolled out a tool, sent one email, and moved on. People do not know what to use it for in their own job.
A few fans, a room of doubters
Uneven skill means the fans cannot spread what they know and the doubters never see a real example.
The output does not sound like you
Drafts come back stiff or long, and fixing one takes as long as writing it.
The same questions repeat
Can I use this for customer emails? Is it safe for HR notes? A workshop answers them once for the group.
A launch is coming
Adding an AI feature to your help desk or CRM? Training before launch beats cleanup after it.
A manager at a 30-person firm sees two staff members using different tools to write the same kind of proposal. One version is solid. The other has a made-up detail the client caught. Nobody did anything wrong on purpose. They never had a shared standard.
Is your team ready for a session?
Tell us what AI use already exists in the building. We will say whether a workshop is the right first step.
When a workshop is the wrong starting point
A workshop fixes one problem well: people who do not yet know how to use AI in their own jobs. If your real problem is different, a session will not move it.
Do something else first
The gap is not skill
- Nobody has decided what is allowed. Write the rules with AI Playbook and Guardrail Development.
- Your files live in five places and logins are a mess. Start with Cloud and AI Readiness Training.
- Leaders disagree on why you are doing this. Pick the uses with an AI Opportunity Assessment.
- The need is missed calls answered or tickets routed. That is automation, and prompting better will not answer the phone.
Workshop fits
The gap is skill
- People are curious but unsure how to get good results.
- Rules exist, and the tool is chosen and set up.
- You have real weekly tasks to practice on.
- Someone can follow up in the weeks after.
Some teams can teach themselves the basics. A curious staff member, a clear policy, and a tool that is set up may be enough for a while: have that person run a short internal demo and share a few prompts that work. Come back for formal training when the questions get harder than one person can answer.
What happens during and after the training
Before the day, pick three or four tasks your team does every week, such as follow-up emails, meeting summaries, or the tenth answer to the same customer question. Write down the questions people keep asking about AI. Real tasks give the session something to work on besides generic examples.
- Hands-on time with your own tasks. People learn by trying a prompt, seeing a weak answer, and fixing it.
- Plain answers on what is okay to share with an AI tool, based on your own rules if you have them.
- Output checks. Your team practices spotting made-up facts, wrong numbers, and tone that is not yours.
- A written set of prompts that worked, so people can reuse them the next day.
Weekly practice
Give each person one or two tasks to try with AI every week. Small and regular beats big and rare.
A shared prompt place
A doc or channel where a good prompt reaches everyone.
One go-to person
It does not have to be an expert, only someone who answers.
A check-in after a few weeks
Ask who is using it, which tasks got easier, and where people got stuck.
You will know it worked when people reach for AI without reminders, drafts need less fixing, and the question shifts from "Am I allowed to?" to "How do I get it to do this?" If usage went flat by the check-in, that usually means people hit tasks the session did not cover. That is where labs or coaching earn their keep. We have run this work with teams at American Express and BGR, among others.
What it costs
The price of AI Training Workshops depends on what you need, so we scope it with you before we quote. A short call is enough to get a number, and it never sits behind a form.
Four things move the price up or down.
- Scope. A single team or process costs less than several departments in one engagement.
- How many people or systems are involved. More staff to train, or more tools to connect, means more time.
- How ready your information is. Clean, documented processes and data shorten the work. Scattered ones add prep.
- What happens afterward. A one-time deliverable costs less than work that includes follow-up support or ongoing upkeep.
Whoever you hire, ask what is included, what counts as extra, and who owns the result when the work ends. Ask us for a quote.
Questions we get
Is one workshop enough?
It is a good first step, but without follow-up usage tends to flatten within a few weeks. We treat the workshop as the start of a curriculum your team learns and keeps.
What should we prepare before the session?
Pick three or four tasks your team does every week and write down the questions people keep asking about AI. Real tasks and real questions make the training concrete.
How do we know the training worked?
People use AI without reminders, drafts need less fixing before they go out, and the questions change from "Am I allowed to?" to "How do I get it to do this?"
Do you build the AI tools for us?
In training work we teach and coach. Your team does the work and keeps the skill, the prompts, and the rules.
Start with your own tasks
Bring three or four weekly tasks and your open questions. We build the session around them.
More in Training
Teach your own people to use AI well, so the skill stays in the building. See all services.
AI Training & Development
Turn everyday work into AI-powered performance.
AI Opportunity Assessment
A ranked list of where AI helps your business, where it does not, and what can wait.
AI Readiness Audit
Five checks on your data, systems, skills, rules, and work, ending in act, fix first, or wait.
Prompt Engineering Labs
Hands-on labs where your team writes, tests, and owns shared prompt templates with the rules built in.
AI Playbook and Guardrail Development
Teach your managers to write, test, and maintain the rules for what AI may be used for.
Cloud and AI Readiness Training
Your team learns to read, fix, and run the cloud setup AI depends on, without a weekly consultant.