Consulting
The work between a convincing demo and a system you can rely on.
Electric Mind works on the part of an AI initiative that decides whether it holds up in real work: choosing it well, giving the AI the context it needs, and showing it is reliable1 before anyone depends on it.
Discuss your AI initiativeTwo situations where we come in
Before an initiative exists.
There is budget, there is pressure, and there are a dozen candidate ideas, but nobody can say with confidence which one is worth building. We help you select, or shape, a concrete initiative: one with a measurable outcome, a workflow that can carry it, and a realistic path to reliability.When a pilot cannot yet be trusted.
The demo was convincing. In real work the system is wrong in ways nobody can quite predict, and nobody will sign off on it. Often the cause is not the model alone. It is missing organizational context, and missing governance around that context. This is the situation Electric Mind exists for.
How it starts
A first conversation.
Thirty minutes, directly with Ulrich Callmeier. You leave with a yes or no on whether this is work Electric Mind can do well, and with the first step if it is.A short assessment.
If we go on, the first piece of work is small and bounded: one to two weeks on a single initiative or workflow, with the people who own it and the people who do it, looking at your systems, your rules and your pilot if there is one. If you still have several candidates, the first conversation sorts them roughly, and narrowing the strong ones down to one is then the first step of the assessment. It ends in a written recommendation: what to build or not to build, what context the AI would need and where it lives today, what the risks are, and what a first operational version would take. The assessment has a fixed price. You can act on the recommendation with us or without us.Then work in stages.
Each stage has a stated goal and ends with a decision: continue, change course, or stop. Nothing is called finished before it has run on real work.
Three roles on your side: whoever owns the business outcome, whoever can speak for IT and security, and whoever does the work every day. On ours, the constant is Ulrich Callmeier, from the first conversation on.
What the work consists of
The shape depends on your initiative. The work does not. These are the things we do, and we do them ourselves.
Understanding the organization and the workflow.
Who does what, which sources are authoritative, where the rules are written down and where they live only in people’s heads, which exceptions matter.Designing the context.
Deciding which knowledge, terminology, rules, responsibilities, permissions and exceptions the AI needs, in what form, and how they reach it. Our discipline for this is Organizational Context Engineering.Setting the architecture.
How the system fits your existing systems, data and security requirements. Vendor-neutral, and without committing you to a platform before the problem is understood.Building evaluations.
Tests that measure the system against your standards, not against a public benchmark, so that “reliable” means something you can check.2Building and running prototypes and pilots.
We build them ourselves or lead the people who do, and we run them with the people who will use them, on real work.Designing in governance and human judgment.
Where approval or accountability is required, it is built into the system explicitly, not added afterwards.Guiding implementation.
Staying involved while the system goes into daily use, until the people who run it no longer need us for it.
Who does the work, and how it scales
Ulrich Callmeier leads every engagement and does the work in it, with other consultants assisting him where that helps. When implementation needs more hands, they come from two places: your own team, which we would rather strengthen than replace, or specialist delivery partners we bring in for implementation capacity.
What you keep
If something gets built: a system that works in daily use; an operating model3that keeps its context current when your organization changes; people inside your organization who own the system and understand why it behaves the way it does. If the recommendation at the end of the assessment is not to build, what you keep is that decision, with the reasons. If you want it, we stay involved afterwards, as advisers and as stewards of the context. Dependence on us is not the goal.
Focused by design
Electric Mind is not a general-purpose AI agency, staffing provider or software reseller. We take on initiatives where the difficult work is deciding what should be built—and making it reliable inside the organization. We remain vendor-neutral, work hands-on through architecture and pilot stages, and involve specialist delivery partners when implementation requires additional scale.
Start with the initiative, not with us
Tell us about the initiative, the workflow or the decision in front of you, at whatever stage it is.
Discuss your AI initiative