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.

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Trusted by 100+ teams

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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

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?

Book a call →

Built in a sprint

10 examples of what we can build in a week.

Each one started as a manual process. Each one now runs itself.

Retail / E-commerce

Product intake → live listing

Before

Listing one product takes 30+ minutes — descriptions inconsistent, photos unedited

After

Photos + intake form → live listing with AI-generated copy, pricing advice and social posts

Professional Services

Field data → research report

Before

Writing up a report from raw data takes days — often a full week per project

After

Pre-research + field data + lab results → 80% complete draft report, ready for expert review

Agency / Consulting

Discovery call → proposal

Before

Every proposal starts from scratch after the call — takes a full day to write

After

Recording + intake notes → scoped proposal with timeline and budget in under an hour

Field Services

Site inspection → compliance dossier

Before

Inspector spends evenings writing up what they found on-site

After

Field photos + checklist → structured inspection report + corrective actions + filing-ready dossier

Retail / Wholesale

Inventory intelligence pipeline

Before

Buyers review dozens of reports manually to decide what to reorder and where

After

POS data + stock levels + trends → reorder recommendations + draft supplier orders per location

SaaS / B2B

Customer health → churn prevention

Before

CSMs catch churn signals too late — data spread across CRM, tickets and usage logs

After

CRM + support + usage data → weekly risk report per account with specific recommended next actions

Field Services

Technician notes → service dossier

Before

Technicians write up jobs at home in the evening from memory

After

Voice notes + photos on-site → complete service report + invoice + warranty dossier, same day

Procurement

Supplier onboarding pipeline

Before

Onboarding a new supplier takes a week of manual document review and risk assessment

After

Questionnaire + documents → risk-classified due diligence dossier + contract checklist, same day

Marketing

Brief → paid campaign assets

Before

A new campaign means a full day of copywriting, ad variations and briefing the designer

After

Campaign brief + brand guide + past performance → Google + Meta ad sets, landing page copy and targeting brief

IT / Operations

Incident → root cause dossier

Before

Post-mortem documentation takes 2 days and often misses the real root cause

After

Incident logs + comms + system data → structured RCA draft + stakeholder summary + prevention plan

Who you're working with

Builders who've
done this before.

Arthur von Kriegenbergh has been coaching teams since 2008. He's worked with 100+ teams across product, ops, and marketing — and has spent the last few years turning AI ideas into working tools, fast.

Yvo Wander scaled a marketing agency from 0 to 40 FTE without it breaking. As a Fractional COO & CGO, he brings the operational rigor to make sure what we build actually sticks in your organisation.

Together, we run the sprint, build the tool, and transfer the skills. We leave when the work is done — not when the invoice is paid.

Book a discovery call →
Arthur von Kriegenbergh

Arthur

Yvo Wander

Yvo

👥 100+ teams🚀 0 → 40 FTE

AI Toolbox

ChatGPTClaudeGeminiMicrosoft CopilotFigmaMiroMidjourneyElevenLabsPerplexityNotebookLM

FAQ

Common questions.

Limited spots

Ready to ship your
AI solution?

Five days. One working product. Guaranteed.

Most sprints run between €20k–€30k depending on team size and scope.