We help you work out where AI makes sense. We map its use, prepare rules, train your team and support your projects.
We map how you use AI, which data it handles and who is responsible. We identify gaps and prepare rules your team can work with.
Practise using AI and checking its outputs on real tasks. Choose a course or workshop around what your team needs to learn.
We help you turn an idea into a brief, compare proposals and define what a working solution needs to do. We support key decisions during delivery.
We help you clarify what you want to solve, compare options and prepare the information needed for a decision. You can get in touch before the project or budget is approved.
We agree the scope and price of preparing these materials separately, based on your project.
AI can find its way into daily work before data, responsibilities and staff preparation have been considered. That is where we begin. Our AI-Native Entry Framework draws on our experience of implementing technology and connects business preparation with verification and delivery. If you already use AI, we build on your current practice.
Clarify what AI should help with, what matters to your business and which obligations may apply.
Map AI use, data and responsibilities. Prepare company rules and actions to address the gaps.
Practise using AI on real tasks, checking its outputs and making informed decisions.
Help teams test ideas, share experience and put useful changes into practice.
Check the evidence, risks and open issues before further investment or wider use. Involve specialists where needed.
Prepare the brief, clarify delivery responsibilities and agree how to check and accept the result.
You do not need a ready-made inventory or policy. We start with how you use AI, or where you want to try it. The proposal sets out the deliverables and the depth of the assessment.
We discuss your goal, teams and intended uses of AI. We agree the scope, responsibilities, inputs and timetable.
Your deliverableA clear brief, scope of work and price.
Together we identify the tools, their purposes, data and responsible people. We mark any information that needs to be added.
Your deliverableAn AI inventory: who uses what, why and with which data.
We examine specific uses of AI, explain the risks and propose priorities for addressing the gaps.
Your deliverableAssessment findings and an action plan with proposed owners and dates.
We draft the policy and acceptable-use rules. We discuss feedback with you before your management approves them.
Your deliverableRules for AI use, data handling, checking outputs and reporting problems.
We explain the company rules using examples from your team’s work and check that people understand them.
Your deliverablePractical aids, such as one-page guidance or a decision tree, and a training record.
We review the agreed outputs with you and record the open points. Follow-up support continues as agreed in the proposal.
Your deliverableEditable documents, a handover record and agreed next steps.
At the outset, we agree who can make decisions, who will coordinate with colleagues and how much time the work will need. One person can cover more than one role.
Founder of TECHNOMATON. Architecture, team leadership and technology delivery. Experience from Packeta and the development of Z-BOX.
Practical AI training, SAFe and team development. Co-trainer of AI-Native Foundations.
Team leadership, customer service and process digitisation. Experience leading a department at the Czech Labour Office.
A new way of working may need better data, connected systems or changes across teams. These are the areas we can help with.
Digital transformation, SAFe, shared planning and priorities.
System design, cloud migration, data and integrations.
Connecting software and devices, from concept to operation.
Developing product leaders and leading change in teams.
AI, SAFe and programmes tailored to your team.
Tell us what you want to change and what you already use. You do not need a finished brief — we can work that out together.