Free consultation
30 minutes to discuss the business problem, goals and next step.
More about this stage
Call +359 886 638 682. During the conversation, we clarify what you want to improve and the scope of the subsequent AI Business Diagnostic.
ONE PROCESS AT A TIME
A clear approach.
Measurable change.
Free consultation, AI Business Diagnostic, pilot selection and implementation with training.
HOW WE WORK
From a business goal
to a working solution.
We start with one clear task. We test with your team, measure the impact and expand when it makes sense.
AI Business Diagnostic
After the consultation, we assess processes, data, people and risks.
More about this stage
We use an extended 22-question assessment across 6 dimensions: AI maturity, process pain, automation readiness, data readiness, risk and potential business impact / ROI. The analysis is discussed with your team.
Priorities and pilot
Identify the most valuable opportunities and the appropriate package scope.
More about this stage
We prioritise up to 3 opportunities by business impact, frequency, time cost, automation potential, data readiness, complexity, risk, ROI and pilotability. You receive a pilot recommendation, success metrics and a go / no-go recommendation.
Implementation, training and measurement
Test the selected process, train the team and track actual impact.
More about this stage
After scope approval, we implement the pilot, train people to work independently and measure results against the baseline. Expansion depends on evidence of value. Sometimes the right step is a better process, training or better organised data.
AI BUSINESS DIAGNOSTIC
Clear priorities.
An informed next step.
After the first conversation, we work with your team using the AI readiness and business impact methodology.
What we assess
22 questions about work, people, data and goals. A profile across 6 dimensions:
- AI maturity
- Process pain and wasted resources
- Automation readiness
- Data readiness and quality
- Risk and governance
- Potential business impact and ROI
Opportunity Definition Report
- AI readiness profile and analysis of the current process.
- Up to 3 prioritised improvement opportunities.
- Risk and expected-impact assessment with explicit assumptions.
- Recommended pilot, success metrics and a go / no-go recommendation.
How we choose priorities
9 criteria: business impact, frequency, time cost, automation potential, data readiness, complexity, risk, ROI and pilotability.
AI is a tool. Better work is the goal. Sometimes the first step is training, a clearer process or better data.