Embedded Build
Three steps. Each one stands on its own: buy the first without committing to the next.
Step 1 · 3 to 4 weeks
We map one process, its data and its decisions.
You get: an architecture, a prototype and a build plan.
Fixed scope · From €5,000 excl. VAT
Step 2 · Phases of a few weeks
We build the tool or AI agents inside your environment, one phase at a time.
You get: working software your team uses in its daily work, with a full handover after each phase.
Fixed price per phase
Step 3 · Optional, monthly
Maintenance, new skills or agents, and advice as regions, rules and contracts change. Only if you want it.
You get: a tool that keeps up with the grid, and a senior adviser on call.
Optional · Cancel monthly
Congestion teams and energy managers handle more requests, contracts and rule changes every quarter. Their tools have not kept up.
Traditional energy consultancy
Knows the grid, hands over a report
The advice is sound. Your team still does the work by hand once the consultants leave.
Generic AI agency
Builds software, doesn't know the grid
It ships code quickly, but doesn't know grid rules, grid-operator processes or congestion contracts.
Software platform vendor
Fast to start, rented forever
You pay for as long as you use it, and your process bends to their product.
Skoon
The domain knowledge and the delivery
One team that knows how a grid operator decides and builds the tool that follows it. You own the result, and the advice keeps working after we leave.
Examples from the problems we see most. Each one is built around your process, not taken off a shelf.
Every agent proposes; your team decides.
You put in a load profile. You get back the options that fit your site, with a report you can use straight away.
Based on our Decision Tool and 1,500+ modelled projects.
Congestion copilot · Options for one site
| Option | In the report |
|---|---|
Battery | Size, cost range and payback |
CSP | Expected call-offs and revenue range |
Non-firm ATO | Hours limited per year and what it saves |
Group contract | Who joins and how capacity is split |
Incoming requests sorted by location, capacity and urgency, each with a proposed next step for your team.
First drafts built from your own templates and the current rules, ready for legal review.
Capacity checks produced from your grid data, in the same format every time.
Clear letters to connected parties, drafted from the case file and checked by your team before they go out.
Load and capacity per substation, refreshed whenever new data comes in.
Case · Dutch grid operator
An engagement tool for a Dutch grid operator, replacing hours of error-prone Excel work
The grid operator's flex team works with congestion service providers on every flex contract. That work lived in spreadsheets. We built a tool for it inside the team's own process.
No handover from advisers to a separate build team. The people who map your process are the people who build the tool.
Bart
Jos
Ričardas
Matt
Guus
Bram
Since 2017. We know the rules, the queues and the contracts your process has to follow.
We reuse the tools and data behind our analyses, including a Decision Tool with more than 1,500 projects modelled. Most of each project is configuration rather than new code.
We work with grid operators on pilots, handbooks and contracting. The tools we build follow how decisions are really made, so they hold up with the people who approve them.
A prototype within the Deep dive and working software in weeks, not after a year-long IT project.
A Deep dive maps it in 3 to 4 weeks, from €5,000 excl. VAT. Afterwards you decide whether we build it.
Bart Louwerenburg
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