AI Training for SMBs

Small and midsize businesses need a short list of useful workflows and tools that fit their constraints. Clear rules make adoption safer. This training helps your team pick what to do first and make it daily practice that survives a busy week.

modules
6
hours
13
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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. A few people open separate accounts while subscriptions start overlapping. Interesting demos pile up without turning into dependable work. Customer details or commercial information may already be sitting inside a service nobody on the leadership team has reviewed.

None of this means banning experimentation or picking one platform for everyone. It means choosing use cases by impact, effort, risk, and frequency, comparing tools with clear cost and data awareness in mind, and putting an actual 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 built in. Teams that want a shared starting vocabulary first can add AI literacy and prompt engineering training as a foundation layer. What you leave with is a short list of pilots and a 90-day roadmap, sized to what your team can run this quarter. 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, updates the campaign, and reconciles the week's admin before Friday. AI can take 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 use cases is endless and your capacity to test them isn't, so a plain impact, effort, risk, and frequency filter is what actually narrows it to a few workflows worth the time.

Nobody budgeted for six subscriptions

Unused seats and disconnected experiments quietly erase whatever value a tool was supposed to create. A team needs a grounded way to weigh fit, effort, data handling, and likely use before it adds 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 has said what's shareable or who checks the output. A short list of rules for confidential and personal data, including customer records, turns that guesswork into work someone can review.

A workshop habit doesn't survive month-end on its own

A workflow that only works inside a training room won't hold up against sales deadlines or a customer emergency, especially when month-end lands in the same week. The version that lasts has an owner and a template, with a review step built in. It also has a place in the team's normal routine.

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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

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

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

Zeo started in 2011 and now works out of San Francisco, Istanbul, Ankara, and Lisbon. We run Copilot Academy and organize Digitalzone, an international digital marketing conference. This program draws on the 10+ years of consulting and training work behind that, applied to corporate AI adoption.

  • 2011founded in Istanbul
  • 10+years of experience
  • 3offices: San Francisco, Istanbul, Ankara, Lisbon
We'll scope a short list of pilots around wherever your week disappears. Share which tools you're already using and which teams need the most help, and the priorities, constraints, and pace shape the program from there.
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