AI Planning & Scheduling

AI Planning & Scheduling

When your planning outgrows the planner

Spreadsheets and standard tools stop at time. Real planning also juggles people, skills, locations, travel and the law. We build the engine that handles it.

Book a 30-min consultation

We build planning engines that -

  • respect every rule while still finding the optimal plan.
  • take over the scheduling work that shouldn't need a human.
  • adapt in real time when constraints, resources, or priorities change.
  • handle the variables your current tools treat as exceptions.
  • give your team time for the work that actually requires them.
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The plan lives in one person's head

Your business has grown. Your planning hasn't kept up. A few experienced people still move the same pieces by hand every day, hold the rules in their heads, and patch the gaps standard software was never built to handle.

Who is this for?

This is for operations and planning leaders at organizations where scheduling has become a daily risk instead of a routine. The moment to call us is when growth, complexity, or a key person leaving makes the current way of planning feel fragile. If your plan is only as reliable as the person making it, you're in the right place.

Sound like you?

An engine that respects every rule, and a team that stays hands-on

What you get

We build a planning engine on top of, beside, or in place of your current systems. It reads from your source systems, weighs your hard rules and your soft preferences, and returns an optimal plan in milliseconds, whether you have ten things to schedule or a million. It runs headless through an API and on open standards, so it fits the landscape you already have and never locks you in. We don't hand you a black box and walk away. We tune the engine against your operational reality, keep your planners in the driver's seat, and stay as long as we add value, not because a contract says we have to.

More time for the work that matters

Automate the routine 80% of planning so your people can spend their attention on the exceptions, the strategy and the human side.

Plans that respect every constraint

Skills, capacity, locations, travel time, working-time rules and labor agreements are weighed in a single calculation, not bolted on afterwards.

Speed at any scale

The engine returns an optimal plan in milliseconds, from ten entities to over a million.

Less dependency on key people

The rules live in the engine, not in one planner's head, so a holiday or a resignation no longer puts the schedule at risk.

What to expect

How we turn planning into more time for the human work that matters

Step 1

Understand

We start with a Planning Discovery. Together we map your planning process, the people involved, your resources and constraints, the regulations you work under, and the goals the plan has to hit. You come out with a clear picture of where automation pays off and where it doesn't.

Step 2

Design

We translate your planning into a model the engine can solve: what to optimize for, which rules are hard, which are soft. We design the concept and a first pseudo-mathematical calculation. Then we validate it against real cases with your team.

Step 3

Plan

We turn the concept into a roadmap: effort, value, and a sequence of releases, so you can decide what to build first. We agree where the engine recommends and where it decides. That way your planners stay in control from the start.

Step 4

Build

We build the engine and the interface with SmartCode, our AI-accelerated delivery method. It connects to your source systems, runs your first live calculations, and reaches your planners as recommendations they can accept or adjust.

Step 5

Evolve

We roll out to more sites, teams and regions, extend the ruleset, and tune the engine as your business changes. The recommendations your planners always accept become automation. The ones they don't become the input that makes the next plan sharper.

The team beside you

The team beside you

You work with a small, senior team. An analyst and an architect to model the problem, a product designer to make the plan usable on any device, and developers to build and connect the engine. They hold degrees in computer science and mathematics, and they've spent years solving planning problems for organizations like yours.

Meet our team

AI Planning & Scheduling projects

What this looks like in practice

Curess

Youth care, no waiting list

Curess matches young people in youth care to the right caregiver, without a waiting list. New requests arrive through a form, get read and labeled by AI, and come back as a ranked list of best-match caregivers a planner can assign in one click. The same plan shows up on web, tablet and phone, so staff see their schedule wherever they are.

Get inspired
Asito

Cleaning routes, optimized live

At Asito, planning went from manual and fragmented to algorithmically optimized. Cleaners get their routes on their phone, updated through the day. Planners see capacity across every site in one view.

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Partou

A childcare plan in milliseconds

For a childcare provider, a single planning request can have 1×10³⁰ possible answers. The engine weighs child-to-staff ratios, fixed-faces rules, capacity and locations, and returns the best plan in 210 milliseconds. What used to take a planner hours now happens before they finish their coffee.

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Where it sits

In our Digital Framework

AI Planning & Scheduling is part of our Software & Automation work, and it leans on the rest of the framework to do its job. It runs on curated data from your source systems, the Data layer. It's protected the same way everything we build is, Secure by Design and defended in Europe. And it usually starts with a Planning Discovery, the same strategy step we use to decide what's worth building before we build it. Automation that frees your people for the work that matters is the point of the whole framework. Planning is one of the clearest places to prove it.

Curious what an engine would do with your hardest plan?

30-minute AI planning & scheduling consultation

Dennis Gilliam
Erik Moerkerken
Cilia Flehmer
Felix Schul

Book a free planning session.

One hour, your toughest scheduling problem, and a straight answer on whether automation is worth it for you.

What we cover in the call
• Your current planning process, and where it strains.
• The rules, preferences and regulations the plan has to respect.
• Where automation pays off, and where keeping a human in charge matters more.

What you leave with
• A clear read on whether your planning is a fit for automation.
• A rough sense of the effort and the value.
• A first sketch of how the engine would approach your problem.

The ten questions you're already asking.

No. It takes over the routine part of planning so your planners can spend their time on the exceptions, the optimization and the people. The planner becomes the strategist, not the spare part.

Not unless you want it to. It runs on top of, beside, or in place of what you have, headless through an API, on open standards. It fits your current landscape rather than forcing a rebuild.

Standard tools mostly fit blocks into a calendar. Ours weighs every dimension at once, skills, travel, capacity, regulations, preferences, and finds the best plan, not just a workable one.

Employee and shift scheduling, logistics and vehicle routing, maintenance and job scheduling, field service, machine scheduling and packaging. If it has resources, rules and a goal, it can be modeled.

A Planning Discovery takes about a month and already delivers value: clean data, insight, targets, and a first calculation. A working engine follows from there.

Yes. The engine returns an optimal plan whether you're scheduling ten things or over a million.

Planners override and replan on the spot. Real-time changes are part of the design, not an exception to it.

Your platform is built, managed, governed and defended in Europe. Your data stays in your control, and security is built in from the first line of code, then tested by people whose job is to break it.

Your planning experts, the people who set the goals, and ideally the people who'll use the plan. Much of the input can come straight from your source systems.

That's a normal stage. The engine suggests, your planners decide, and only the decisions they always make the same way get automated later. You keep the planner in the driver's seat for as long as you want.