digitalnow
APPLIED INTELLIGENCE STUDIO
ATHENS, GR / THINK GLOBAL
LET’S TALK
All servicesCAPABILITY / 06
PEOPLE / PRACTICE

AI Training

Give your team new capabilities.

We train people to use AI in their own everyday work, through practical examples.

Discuss your application ✳
THE CHALLENGECONTEXT BEFORE TECHNOLOGY

A seminar alone will not change everyday work.

Training is designed around each team's role. We teach how to give instructions, review outputs and recognise when a tool is unsuitable for a task.

WHAT WE DELIVER

A clear scope.
Specific deliverables.

  1. 01Practical workshops for your team's needs
  2. 02Exercises based on real tasks and suitable data
  3. 03Internal templates and usage rules
  4. 04Reference material and suggestions for further applications
IN PRACTICE / ILLUSTRATIVE SCENARIO

What it could look like in practice.

A sales team learns to draft quotations from approved information. It checks amounts, commitments and conditions before sending them to a customer.

What we evaluate

Practical ability, quality of review and use in everyday work.

A CLOSER LOOK / AI TRAINING

What it means
for your business.

Training creates value when people can use what they have learned in their next task. We design practical workshops around specific roles, tools and requirements. Participants practise writing instructions, reviewing outputs and recognising the limits of AI use.

01

For management and team leaders

We examine how to select applications, assess process readiness and define a pilot. Leaders gain a shared framework for discussing proposals and distinguishing a useful solution from an impressive demonstration.

02

For marketing and sales

Exercises can include creative briefs, communication drafts and structured summaries. We work with approved information and show how to check numbers, claims and commitments. The team learns to adapt outputs to their real context.

03

For everyday productivity

We explore tasks such as organising notes, summarising documents and preparing internal material. Every exercise includes a quality check. The aim is to build practical habits and shared templates that remain useful after the workshop.

THE WORK / STEP BY STEP

From our first conversation
to everyday use.

Each collaboration is built around your specific task. These phases help establish expectations, deliverables and responsibilities before we move forward.

01

Understanding and defining the scope

We discuss the goal, examine the current process and define the scope. We document sources, tools, owners and constraints. Before implementation, you know what will be examined, what will be delivered and what your team needs to provide.

02

Preparation and design

We organise the necessary information and design the application's workflow. We define quality checks, approval levels and how to handle missing information. The rules must be understandable and consistently applicable.

03

A focused test

We test an agreed set of cases. Alongside typical examples, we examine ambiguous requests, incomplete data and exceptions. We record what works, what needs improvement and where human intervention is required.

04

Evaluation and handover

We compare the result with the agreed criteria. We deliver the planned materials and explain how to use them. Your team understands the necessary checks and how to report problems.

05

Support and development

Where ongoing collaboration is agreed, we monitor operations and adapt the application as needs change. Expansion depends on test results and support capacity, rather than the volume of work alone.

BEFORE WE START

What we will need from you.

For the first conversation, simply describe your need. The required information and access are identified once the scope is defined.

  • Participants' roles and current familiarity with AI.
  • The tasks you want to use in exercises.
  • Approved tools and non-confidential practice material.
  • Internal usage guidance and the training goal.
QUESTIONS / ANSWERSUNDERSTAND BEFORE YOU DECIDE

Your questions.
Our answers.

Need more detail about your situation?

Let's discuss what you need +
Is it suitable for beginners?

Training can be adapted to the team's level. For beginners, we start with fundamentals, instructions and output review. For teams already using AI, we focus on improving practices and specific tasks.

Is it a general seminar or tailored to our company?

Our approach is to tailor it to the team's work. Before the workshop, we agree roles, needs and examples. Time is then spent on cases participants recognise from their everyday tasks.

Do we need technical knowledge?

Training in tools and prompts usually does not require programming. Development or complex automation may have additional prerequisites. The level and curriculum are agreed before starting.

What materials does the team receive?

Agreed materials may include task templates, usage guides and checklists. We favour reusable examples that can evolve so the training continues to support day-to-day work.

How do we check whether people apply what they learned?

We define small practice tasks and quality criteria. Participants can show how they used the templates and what needed correction. Evaluation focuses on the ability to use and review the tools, rather than attendance alone.

Does everyone need to use the same tool?

A shared, approved environment often makes exercises and support easier. We assess what the company already has and which tools are permitted. We do not assume new subscriptions will be purchased without prior agreement.

Is training online or in person?

The format is agreed around the team, scope and practical needs. The proposal specifies delivery, participants, topics and materials. Exercises are adapted to work in the chosen environment.

Can training be combined with a pilot?

Yes. The team can train on the application being implemented for the business, learning its rules, exceptions and approval process in its actual working context.

THE NEXT STEP

Let's start
with what you need.

Tell us which task you want to improve. We will discuss the possibilities, data and boundaries before recommending a solution.

Talk to DIGITALNOW ✳