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AI Adoption

Embed AI tools in everyday work.

We match the AI tools you have rolled out to the concrete work each role does. Together we set up hands-on learning, on-the-job support and usage tracking, and make output quality and human oversight part of the work.

From tool to business scenarioHow we work
Step 1
Roles and baseline
Step 2
Scenario and oversight
Step 3
Learning and support
Step 4
Measurement and improvement
Let's talk about AI usage→
01 / Problem

Is trial use turning into a working habit?

0/ 3 sound familiar
Check the ones that sound familiar.
02 / Scope

From tool to business scenario

We work with a limited number of priority roles and business scenarios. Together we define the input, the expected output, your organization's approved data/usage rules and the point where a person reviews or approves. Software, model or agent development is not automatically part of this service.

In-app guidance, simulation and analytics are used only if the chosen environment and license allow. Whatfix can remind users of a usage rule; this does not mean it technically prevents every violation. The necessary technical controls rest with the relevant IT/security teams.
03 / How we work

Step by step

1
Step 1 / 4
Roles and baseline
We review the work, current usage and pain points, and set the baseline measurement with the process owner.
2
Step 2 / 4
Scenario and oversight
We define the appropriate input, expected output, review steps and success condition.
3
Step 3 / 4
Learning and support
We prepare sample tasks, hands-on exercises and short guidelines. Where technically feasible, we use in-app help or simulation.
4
Step 4 / 4
Measurement and improvement
We assess repeat usage, task success and output quality together, and improve the scenario, learning content or process.
04 / Deliverables and business value

What do you get, and what do we measure?

✓Role and priority scenario definitions; current usage and baseline measurement.
✓Task guidelines that define input, expected output, conditions of use and human oversight.
✓Depending on scope, learning content and on-the-job support.
✓Content/scenario ownership, feedback and an update routine.
✓An assessment of usage, quality, data limits and next actions.
Higher usage or time saved is not, on its own, proof of financial return on investment. If the data is insufficient, we do not make outcome claims.
Value
Login counts are not enough for us. We look at task completion, output quality, rework needs and, where data allows, processing time together.
05 / Why akademiDX?
We address user learning together with the business scenario, organizational rules and in-app needs.
Through our authorized Whatfix partnership, we can bring suitable guidance and measurement options into the work. We define the product's capabilities separately from our responsibility for scenarios, content and tracking.
Role-based scenariosHuman oversightQuality and usage measurement
06 / Frequently asked questions

Common questions

How can we get started?
Which role is struggling, and with which task?
Let's talk about the tool available to users, target roles, business/IT owners and safe sample tasks. Together we'll review your approved data rules and existing reports and define the initial scope of work.
or send an email: info@akademidx.com.tr
What we need to start
Tool available to users
Target roles
Business and IT owners
Approved data rules
Safe sample tasks