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For ops & product teams · AI Sprint

We build your
AI automation.
In one week.

A 5-day hands-on sprint that automates one of your most painful ops processes — and leaves your team capable of building the next one themselves.

Trusted by

GoodHabitz
Miro
lalaland.ai
Naïf Care
PaymentGenes
ABN AMRO
ING
Merkle
Cargill
E.ON
Tommy Hilfiger

The ops trap

You know which work is slowing you down.
Nobody has fixed it yet.

Your team is spending hours on work that shouldn't require a human. Manual reporting. Copy-paste handovers. Repetitive requests that clog up your best people. AI can fix this — but most teams never get past the discovery phase.

Why AI ops projects stall

No clear process owner68%
Data still in spreadsheets54%
No team buy-in47%
Too slow to prototype41%
Budget exhausted before launch38%
72%of AI projects never ship to production *

* McKinsey Global AI Report 2024 / Gartner AI Adoption Survey

What we can build

Your ops, running on autopilot.

We pick the automation that fits your bottleneck — and build it in 5 days.

100 unstructured documents turned into a knowledge base you can actually search

Upload your reports, manuals, and past advice — AI indexes everything and makes it searchable. Your team finds what they need in seconds, not buried in a shared drive.

New inventory live in minutesfrom photo to Shopify without manual entry

A photo of the intake form and product is all it takes — AI writes the listing, publishes it, and schedules social content automatically.

📸 Photo uploaded✓ done
🤖 AI listing written✓ done
🛍 Shopify published✓ done
📣 Social scheduled✓ done

Technical reports, 50% done before you startraw notes and lab data in, structured draft ready to review

Upload field notes and raw data — AI writes the first draft automatically. Your specialist reviews and finishes, not starts from scratch.

📋 Field notes✓ uploaded
🧪 Lab results✓ uploaded
🤖 AI draft✓ generated
📄 Report✓ ready for review

Past advice and report trends — answered in secondsplain-language question in, sourced answer out

Ask what you'd ask a colleague: what did we advise on X, what trends appear in last year's reports? AI finds, cites, and summarises — no manual searching, no starting from scratch.

The process

Five days. One working automation.

Workshop days with your team alternate with build days where we ship — so every session has real output to react to.

Workshop day — your teamBuild day — we ship
01

Monday

Understand & Define

Unpack the process friction, align the team, map the AI opportunity.

Problem defined + scope locked.

02

Tuesday

Build 3 Prototypes

We turn the workshop output into at least 3 working proof-of-concepts — real AI tools, not mockups.

3 live prototypes ready to demo.

03

Wednesday

Demo, Remix & Decide

We demo all 3 prototypes to your team, remix and improve based on feedback, then lock the best one.

One prototype selected + refined.

04

Thursday

Build to Production

We take the chosen prototype and build it to a deployable, usable automation — real logic, real output.

Automation live in test environment.

05

Friday

Test & Hand Over

Validate with your team. You leave with a live automation and a 100-day rollout plan.

Working automation + 100-day plan.

Every sprint ends with an automation your team runs next Monday.

Deliverables

You leave with three things.

🛠

A working ops automation

Not a prototype. Not a POC. A deployed, usable automation that removes friction from your team's day on day six.

AI Automation — Sprint Output
Summarise customer feedback from last week →
✓ Found 47 tickets · 3 recurring themes · 1 critical issue flagged
✓ Draft response sent to support@… · Escalation queued
Ask your AI automation anything…
📋

Your 100-day plan

A concrete 100-day roadmap to scale and embed what we built across your team.

🧠

Your team, AI-capable

Every team member who participates learns the tools and judgment to keep building after we leave. The sprint is a skill transfer as much as it is a delivery.

Sounds like what your team needs?

Check if we're a fit →

Who you're working with

Your business knowledge
is the engine.
We make it run.

Arthur von Kriegenbergh has a BSc in IT and started as a developer. He knows how to solve business problems with software — and has coached 100+ teams since 2008 to actually make it happen. These days he prototypes AI tools that make it into production, fast.

Yvo Wander co-founded and scaled Dapper from 0 to 40 FTE. As a Fractional COO & CGO, he brings the operational rigor to make sure what we build actually sticks in your organisation.

We don't lead with tools. We start with your processes, your silos, your bottlenecks — and configure AI around the way your team actually works. The tools are how we execute; your knowledge is what makes it work.

Book a discovery call →

30 min · no pitch · no commitment

Arthur von Kriegenbergh

Arthur von Kriegenbergh

Yvo Wander

Yvo Wander

👥 100+ teams coached🚀 Former CEO & co-founder of Dapper

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FAQ

Common questions.