We help companies bring AI into their daily work, from the first workshop to a custom-built AI solution. We discuss scope, timeline and investment individually, based on your context.
The starting point is usually an AI workshop or AI consulting. In a workshop, leadership and teams learn on their own workflows where AI helps. In consulting, we analyse the processes in detail and draw up an implementation plan with effort and cost.
Both lead to delivery projects. Where existing systems such as CRM, ERP or email are connected, it is AI automation. Where off-the-shelf software is not enough, we develop a custom AI solution, up to AI agents. For project teams, AI in project management is a dedicated format of workshop and support.
For leaders, teams and management
Many teams have already tried AI, usually individually and without a shared picture of where it really helps in their own company. An AI workshop creates that picture. It is aimed at management, leaders and specialist teams who want to assess the opportunities and risks of AI for their company before money goes into tools or projects.
Includes: Keynote format for leadership, In-depth workshop per team, Multi-part programmes for the whole organisation, Workshop documentation
Analysis, assessment, support
Many companies know that AI is relevant to them. What is usually open is where exactly it helps in their own operations, what adoption costs and in which order to proceed. AI consulting answers these questions for your company and turns them into an AI strategy you can actually implement.
Includes: Process analysis with your teams, Clear assessment: where AI helps, where it does not, Implementation plan with effort and cost, On request: implementation from one source
Workflows, integration, operations
In many companies, enquiries, documents and orders arrive by email and are read, checked and transferred into CRM or ERP by hand. These steps repeat, follow fixed rules and cost time every day. That is exactly where AI automation comes in.
Includes: Workflow audit, Implementation sprint, Monitoring & hand-over, User training
Prototype, custom system, product
Standard tools such as Copilot or ChatGPT cover many tasks. They reach their limits when a task combines your own data, several systems and fixed checks. At a timber group, Copilot read a product table as running text and produced wrong results. It only worked with a clean data structure and a dedicated integration.
Includes: Discovery & architecture, Prototype, MVP development, Supported rollout
In-house workshop and support for PM teams
Project teams spend a lot of time on recurring work: writing status reports, tracking risks, briefing stakeholders, maintaining documentation. This work follows fixed patterns and relies on existing documents. That makes it a good entry point for AI.
Includes: In-house workshop with your PM team, Three working prototypes, 30-day plan for the team, Multi-week support, 6 to 12 weeks