The integrated platform

AI adoption you can actually follow.

The training, the everyday practice and the progress data in one place — for you and for your team.

Book a callLook around the platforma working model, on sample data
practiqaIllustrative data
  • Initial assessment
  • Tracking the practice
  • Support after the programme

before the start · 168 participants

  • Marketing82% · 34%
  • Finance64% · 22%
  • HR71% · 18%
  • Operations58% · 15%

InterestExperience

Week 6 of 10

  • Active this week

    132

  • Applied use cases

    34

  • Time saved

    41 h

Latest applied use cases

  • MIMaria I.First draft of the monthly report−40 min
  • GDGeorgi D.Summary of 14 customer enquiries−25 min
  • EPElena P.Three copy variants for a campaign−35 min

Micro-practice · Tuesday

10–15 min

Use AI to draft a first version of the reply to yesterday's customer enquiry. Use the template from Monday's session.

Mark as applied

4 of 5 days this week

What we see

  • A one-off seminar is forgotten by Friday.

    A single day of inspiration rarely changes a habit built over years. By Monday everyone is back to the old ways of working.

  • 51% of employees say AI training feels like another project on top of the job.

    When training is not tied to the work, it becomes extra weight and gets set aside.

  • Nobody can show leadership what actually changed.

    Attendance, certificates and good feedback are not enough. The result is a visible change in the work the following month.

What makes us different

AI is good enough now and it works, but only for the people who use it well.

We support every level, so that you actually get the advantages of working with AI that everyone is talking about.

  1. Find out more
The practiqa platform dashboard

[01]

A clear starting point

Before the programme begins, the platform shows the level, the attitudes and the real needs of each team, so we can focus the work where it will have the greatest effect.

[02]

Real use in the work

The platform follows activity, applied use cases and results, spots where people get stuck, and provides support exactly when it is needed.

[03]

Adoption that lasts

The practice continues after the programme, and managers get regular reports and clear guidance on where more support is needed.

Full visibility of the progress

You see what is being applied, not just who attended a session or a meeting

The platform turns training into a managed, measurable process of AI adoption. It sustains the practice, catches the sticking points early, and shows what is actually being used in the work. Leadership gets a clear picture of progress and concrete guidance on the next steps.

  • Initial assessment· before the start · 168 participantsIllustrative data
    • Marketing

      82% · 34%

    • Finance

      64% · 22%

    • HR

      71% · 18%

    • Operations

      58% · 15%

    InterestExperience

    High interest, limited experience: we start from each department's real tasks, not from general theory.

  • Support after the programme· 10–15 minIllustrative data

    Micro-practice · Tuesday

    Use AI to draft a first version of the reply to yesterday's customer enquiry. Use the template from Monday's session.

    Mark as applied4 of 5 days this week

    Async channel

    Georgi D. · Operations

    The model gets the report format wrong when the table is long. What am I missing?

    Viktoria · programme coach

    Split the table into parts and give the model an example of the output. We will look at it together in Thursday's office hours as well.

  • Applied use cases· 12 cases · 28 h a monthIllustrative data
    • First draft of the monthly reportMaria Ivanova · Finance · Gemini0.7 hconfirmed
    • Summary of customer enquiriesGeorgi Dimitrov · Operations · Claude8.3 hmeasured
    • Three copy variants for a campaignElena Petrova · Marketing · Claude2.3 hreported
    • Write-up of the invoicing processNikolay Stoyanov · Operations · Claudereported
    • First pass over incoming CVsSvetla Vasileva · HR · Claude3.3 hconfirmed

    Every row is a task from the participant's own work, and carries with it where the number came from.

  • Teams· Operations · 4 peopleIllustrative data
    • Applying regularly1
    • Tried once1
    • Stopped2

    Ivan Kolev · No applied use case for 2 weeks.

    Suggested action

    Ten minutes in your next one-to-one: ask which task they tried it on and what did not work.

  • Report· Week 6 of 10Illustrative data

    Reported by participants

    28 h

    Confirmed or measured

    21 h

    • Confidence

      3.6

    • Activity

      79%

    Observed behaviours

    • Uses AI for a first draft4.0
    • Checks the output before using it5.0
    • Describes the process before automating it3.0
    • Shares what works with the team4.0

From our experience

Where teams find value in AI fastest

The departments that come looking first are usually the ones with a lot of repetitive tasks, content, documents and information to process.

Marketing

More channels, more data, more campaigns - without growing the team.

See more · 5See less
  • research markets and audiences
  • plan campaigns
  • produce variants
  • analyse the results
  • prepare reports

Marketing reacts faster and makes better-informed decisions, without the strategic and creative work disappearing into routine tasks.

Managers

There is more information every year, and the same amount of time to decide.

See more · 4See less
  • summarise documents and meetings
  • compare options
  • draft plans
  • keep track of what is being delivered

Managers spend less time collecting and ordering information, and more on deciding, working with their people and setting priorities.

HR

More candidates, more employees, more communication - on the same capacity.

See more · 5See less
  • support recruitment
  • prepare interviews
  • onboard new joiners
  • build training
  • handle internal communication

The HR team cuts down the administrative work and frees up time for conversations, development and support, while decisions about people stay a human responsibility.

Finance

The reports have to be ready on time, even when the data is not.

See more · 4See less
  • collect and structure data
  • analyse variances
  • prepare forecasts
  • draft management reports

The finance team spends less time on manual processing and more on checking, analysing and explaining what the numbers mean for the business.

Operations

Small, repetitive tasks slow down the whole process.

See more · 4See less
  • handle enquiries
  • prepare records and documents
  • document processes
  • find opportunities to automate

The result is faster delivery, more consistent work, and more time for the cases that genuinely need human judgement.

Talk to us about your department

Let us work out where you should start.

Tell us briefly what is happening in your team. You do not need to know which service you need — we will talk through the situation and suggest sensible next steps.

hello@practiqa.io

20 minutes, no obligation.