AI Implementation Consulting — Strategy to Adoption

67%

of AI projects fail without a systematic approach

30–40%

efficiency gains in pilot processes

4–8

weeks from audit to working tools

3–5

processes automated in the first cycle

🔄

Not a training — ongoing support

We don't leave after a lecture. A series of sessions with measurements — until AI becomes part of your workflows

🎯

Tied to real tasks

No abstract prompts. Every tool is selected for a specific task of a specific employee

📊

Measurable results

Before/after measurements for each process: time, quality, cost. You see ROI, not just "it was useful"

Why AI initiatives stall

📉

67% of AI projects never reach production

Companies buy ChatGPT and Copilot subscriptions, but employees use them for email drafts. Real business processes remain unchanged. According to McKinsey, the main failure reason is the lack of a systematic implementation approach.

🔍

Unclear where AI will have the biggest impact

Executives hear about AI transformation but don't know which processes to automate first. Without an audit, teams try AI chaotically — and get disappointed. Result: "we tried it, doesn't work."

🎓

AI training does not equal AI implementation

Employees completed a prompting course — and forgot 80% within a week. Without connection to real tasks and on-the-job support, knowledge doesn't become practice.

How we guide implementation

🔍

Process audit & interviews

Stakeholder interviews: identify processes with the highest AI potential
Current workflow mapping — where time is wasted
Prioritization: what to automate first by ROI / effort ratio

🧪

Pilot project

Select 1–2 processes for a pilot — with measurable success metrics
Tool selection: ChatGPT, Claude, Gemini, specialized solutions
Configure prompts and templates for the team's real tasks

🎓

Training & reinforcement

Role-based training: marketer, HR, manager — each with their own tool set
Series of short sessions (not a one-off workshop) with practice on real tasks
Before/after measurements: time per task, output quality, satisfaction

📊

Report & scaling

Final report: what was implemented, results achieved, what to scale
Recommendations for the next processes to apply AI to
Knowledge transfer to your internal team — so you don't depend on us

Why AI implementation is not a training course

AI implementation in business processes is a systematic consulting project, not a one-day course. According to McKinsey, 67% of AI initiatives don't move beyond pilot due to lack of connection to real processes and metrics. EdUnit guides companies from audit to working tools: stakeholder interviews, pilot in 1–2 processes, role-based team training, and effectiveness measurements.

For individual specialists, we offer a separate format — personal AI consulting.

What to expect

Organizations receive: a process map with AI priorities, a working pilot with before/after measurements, a trained team, and an executive report.

Who it's for

🏢

Company executives

Challenge

Competitors are implementing AI while we're still "studying the question." I'm afraid we'll fall behind

Solution

Systematic implementation plan with priorities and measurable results in 4–6 weeks

👩‍💼

HR directors & L&D

Challenge

We ran an AI training — but employees still don't use the tools at work

Solution

On-the-job support: not just knowledge, but embedded AI habits

Process

1

Diagnostics

1–2 weeks

Stakeholder interviews, process mapping, identifying priority areas for AI

2

Pilot

2–3 weeks

AI implementation in 1–2 processes with measurable metrics. Tool selection and setup

3

Team training

2–4 weeks

Role-based sessions for employees. Practice on real tasks, not textbook examples

4

Measurement & report

1 week

Before/after metric comparison. Executive report. Scaling recommendations

Corporate

from $2,500

≈ €2,300

Full cycle: audit → pilot → training → report
Stakeholder interviews
Pilot in 1–2 processes with measurements
Role-based team training (up to 20 people)
Final report with recommendations

Discuss Your Project

Prices are indicative. Final cost confirmed in contract.

FAQ

How is this different from an AI training course?

A training course gives knowledge but doesn't change processes. Implementation consulting works with your specific business processes: audit, tool selection, pilot, team training, results measurement. We leave when AI works without us.

Which AI tools do you implement?

We don't promote a specific product. We select from ChatGPT, Claude, Gemini, Copilot, Midjourney, specialized solutions — whatever best fits your tasks and budget. Including open-source models for sensitive data.

How long does implementation take?

Full cycle for an organization — 4–8 weeks. First results (pilot) visible in 2–3 weeks.

What if AI doesn't fit our processes?

This is determined during the audit phase — before the pilot starts. If we see that AI won't deliver meaningful impact in a specific process, we'll be honest about it and suggest alternatives. You don't pay for implementing something that doesn't work.

What if I need personal sessions?

For individual specialists and freelancers, we have a separate format — <a href='/services/ai-consulting/'>personal AI consulting</a>: analyze your tasks, select tools, configure prompts.

How do you measure results?

Before the pilot, we record baseline metrics: time per task, cost, error count. After implementation, we measure the same indicators. The difference is visible in numbers, not feelings.

Stop "exploring AI" — start implementing

We respond within one business day