Two pillars, one partner. Consulting ranks, technology delivers.
For hotels, consulting ranks daily operations in writing and technology makes them digital and automates the routine. You decide again after each step.
01 / Starting point
Starting point
Hotel work starts with the workflow that creates friction, such as room status moving between housekeeping and the front desk.

02 / Where it hurts
Where it hurts
- Digitalisation projects start from the hotel system instead of the problem on the floor.
- Analysis and delivery sit in the same package.
- After rollout, nobody knows who looks after the new tool when it fails.
03 / How it works
How it works
- 01Process analysis: document hotel workflows from the departure list to the night audit and justify priorities.
- 02Automation: housekeeping, defects and handovers made digital, routine automated, with approval at key steps.
- 03AI training: safe everyday use by front desk, housekeeping and back office teams.
What this is not
No delivery without a prior analysis. Analysis and delivery stay separate engagements.
04 / Result
Result
A clear path from the first conversation to a handed-over workflow. You can stop at any point.
05 / Use cases
Use cases
Analysis on its own
Analysis, delivery and training arrive as one package before the workflow in the house is clear.
The analysis stands alone. It says what gets built and what does not.
Handover with an owner
After rollout, it is unclear who looks after the new tool when a fault occurs.
Responsibility, fault reporting and documentation are fixed at handover.
Training on real work
A new tool is introduced at the front desk and then left to itself.
The hotel team practises on its own tasks: what the tool is for, and what it is not.
How is the offer structured?
Four clearly separated steps: first conversation, process analysis, delivery as its own engagement, and training standalone or alongside. You decide again after each step.
What exactly is the process analysis?
A paid, clearly bounded engagement: your recurring workflows are documented, ranked by effort and effect, and prioritised in writing. You get a reason for each workflow, not a list of tools.
Do I have to commission delivery after the analysis?
No. Delivery is a separate decision and a separate engagement. You can implement the result internally, leave it, or hire someone else.
How does AI training work?
On your own tasks rather than example slides: what is suitable, what is not, how to check results and which data must stay out. Training runs standalone or alongside a delivery project.
Which workflow costs the most hours every week?