AI Training · SMBs
AI Training for SMBs
Small and midsize businesses don't need a long list of AI possibilities — they need a short one: a few useful workflows and tools that actually fit their constraints. Clear rules make adoption safer instead of riskier.
This training helps your team pick what to do first and turn it into daily practice that survives a busy week, not just a good training-room demo.
- modules
- 6
- hours
- 13
Some of the 500+ brands we've worked with
Selected brands we’ve worked with across industries.
MeteksanGlobalCase Study
VisperaGlobalCase Study
Why this training
Why AI at this company stage?
So start with the calendar. One person often drafts the proposal, answers the complaint, and reconciles the invoices in the same week. A long menu of possible AI uses won't help unless a few get picked and finished. That's the whole argument, really: prioritization is the strategy here.
The common failure is starting with tools instead: separate accounts and overlapping subscriptions pile up while customer or commercial information sits inside a service nobody on leadership has reviewed. The fix isn't banning experimentation — it's choosing use cases by impact, effort, risk, and frequency, comparing tools with cost and data awareness, and putting a human check around anything that leaves the building. Six modules cover everyday documents, sales and marketing, service and admin, tool selection, KVKK-aware data boundaries, and one simple automation with a review point; teams wanting a shared vocabulary first can add AI literacy and prompt engineering training, and the AI training catalog holds the deeper role and tool programs.
There's one person doing four jobs
In a smaller team, the same person drafts the proposal, answers the customer, and reconciles the week's admin — AI takes the sorting and drafting off that plate, so attention goes back to the calls only your people can make.
You can't pilot everything AI could theoretically do
The list of possible AI use cases is endless and your capacity to test them isn't — a plain impact, effort, risk, and frequency filter narrows it to the few workflows actually worth the time.
Nobody budgeted for six subscriptions
Unused seats and disconnected experiments quietly erase whatever value a tool was supposed to create — weigh fit, effort, data handling, and likely use before adding one more product to the pile.
Shadow use starts before anyone agrees on the rules
Staff try a consumer AI tool long before the business says what's shareable or who checks the output — a short list of rules for confidential and customer data turns that guesswork into work someone can review.
A workshop habit doesn't survive month-end on its own
A workflow that only works in a training room won't survive sales deadlines or a customer emergency — the version that lasts has an owner, a template, a review step, and a place in the team's normal routine.
Syllabus
Training syllabus
What a small team should try first
120 minBeginner
The session starts with what mainstream generative AI tools do well and where they fail. It then identifies sensible first tasks for a small or midsize business. The session builds a shared vocabulary without turning into a tour of every product on the market.
- What's happening inside the model
- The decisions that stay with people
- Wrong, but confident about it
- Safe places to start this week
- Impact, effort, risk, frequency
Briefing a model like you'd brief a person
120 minBeginner
A repeatable way to give an AI tool context, task, format, examples, and a check, practiced on the documents and information work that fill a normal week, then turned into shared team templates.
- Emails, proposals, briefs, made better
- Meetings and long documents, in three lines
- Context without the confidential parts
- Don't take the first draft
- A prompt library, kept short
Sales and marketing, without a content factory
150 minIntermediate
Direct support for finding, preparing, and following up on commercial opportunities, shaped around your sales cycle, channels, and brand voice. The judgment of the people who know the customer stays exactly where it is.
- Account research before the discovery call
- Outreach a human still reads first
- One idea, several channels
- Feedback sorted into themes and actions
- Who signs off on the tone
The paperwork behind support and operations
150 minIntermediate
Repetitive text and information flows across customer support, purchasing, recruitment, finance administration, and internal operations get mapped into assisted workflows. The aim is consistent, faster handling. A person still makes the call that needs context or accountability.
- Customer replies, grounded in policy
- The same question, answered once, reused
- Action items out of messy forms
- First drafts for job posts and onboarding
- Where escalation kicks in
Choosing tools without the sales pitch
120 minIntermediate
A vendor-neutral way to compare tools by workflow fit, adoption effort, security controls, data handling, and total operational burden, with KVKK translated into everyday boundaries.
- General-purpose or embedded, with specialist tools where needed
- Licenses and limits nobody reads twice
- Where your data goes
- Personal, customer, confidential: three different rules under KVKK
- One checklist for what's approved
Building the 90-day plan
120 minIntermediate
This module tells a useful assisted workflow apart from a fragile chain of apps. The team designs one simple automation with clear human checkpoints built in. Everyone leaves with a 90-day plan for pilots, owners, measurement, and what to try next.
- Trigger, inputs, steps, output, owner, review
- Template, or full automation?
- A pilot small enough to measure
- Owners, champions, a review cadence
- Stop or continue, then expand
Outcomes
Outcomes & audience
What you will learn
- Rank ideas by impact and effort, then check risk
- Reusable prompts for the documents you write
- Sales, marketing, service, and admin workflows
- Tool fit and cost
- KVKK-aware boundaries for personal and customer data
- One workflow, automated, with a person still checking
- A small prompt library, maintained
- A 90-day plan tied to current workflows
Who should attend
- Owners and founders, including general managers running day to day
- Sales and business-development staff
- Marketing and e-commerce people
- Operations and admin, including procurement
- Customer service and account management
- HR and office management, including finance administration
Format
Training format
Two days, splittable into half-day sessions so a busy operating schedule doesn't have to stop. Both onsite and live-online formats run on your own priorities and anonymized workflow examples.
- Format
- Onsite or live online
- Duration
- 2 days (about 13 hours, can be split into half-day sessions)
- Group size
- Up to 20 participants per group
- Language
- English or Turkish
- Materials
- Use-case scorecard, prompt templates, tool checklist, and 90-day roadmap worksheet
- Certificate
- Certificate of completion
Keep exploring
Related programs
Next step
Let's find your team's first three workflows
Questions
Frequently asked questions
Who shows up to this one?
Small and midsize businesses after measurable gains without an enterprise-scale transformation program, and owners, managers, and staff across sales, marketing, operations, customer service, HR, and admin can attend together or in role-based groups.
Is there a coding requirement hiding in here somewhere?
No coding or data-science background is assumed anywhere in this program. What you need is an understanding of your own work: the recurring documents, decisions, and handoffs that eat your time, and that's what the session builds from.
How many days does an SMB need to give up?
Two days, about 13 hours of instruction, onsite or live online. It splits into half-day sessions, so customer work and daily operations keep running around it.
Does a ten-person shop get the same session as a bigger one?
Before the training we talk through your priorities, approved tools, data constraints, and a sample of the workflows your team handles. The examples and exercises move from there, as does the module depth. A ten-person services company and a growing manufacturer shouldn't sit through the identical session, and they won't.
Is there one AI tool you'd tell every small business to buy?
No single tool wins for every business. It depends on your workflows, existing software, data requirements, team habits, and how much effort you can put into maintaining it, which is why the program hands you a comparison framework.
What's the actual number, roughly?
There isn't one number to give you. Group size, delivery format, customization depth, and location all move it. Describe your business, your teams, and what you want to fix, and we'll scope a price to that.
What's physically left behind after the trainer packs up?
The use-case scorecard, the prompt templates, the tool checklist, and the 90-day roadmap worksheet, all of it stays with your team. None of it needs a login to keep using. We're around for follow-up questions afterward. If your usage and needs mature, a refresher or a more advanced session can be planned, though it's not assumed from day one.
How does the training treat KVKK?
A working habit built into daily practice. No live customer file enters the room: we make up the practice data, and anything drawn from life is fully anonymized first. Your team learns to spot personal, customer, and confidential information, to notice where a consumer tool and a business tool would treat it differently, and to place the approved-use and human-review boundaries. Working awareness, not legal advice.