The Monday Morning Approach

AI Made Tangible

From AI idea to working prototype on your data in weeks, not years.

One focused use case. A working prototype on your data. A decision based on evidence - in weeks, not years.

Teams leave AI workshops excited. By Monday morning, nothing has changed. Slides shared, notes filed, day-to-day takes over.

The Monday Morning Approach fixes that. One use case. One metric that matters. A working prototype on your data, running on your infrastructure, with clear KPIs - in weeks, not years.

Your infrastructure. Your data. Yours to own.

Why This Exists

AI initiatives don't fail on technology - they fail on execution. Scattered ideas, unclear owners, no shared definition of "success."

The Monday Morning Approach keeps everyone honest:

For leadersEvidence instead of opinions. Within weeks, you see whether an agent can cut cycle time, improve quality, or take work off your team. Numbers to decide: scale or stop.

For teamsA working prototype inside their tools, not a demo on someone else's dataset. That builds trust.

Core Principles

Proof of value, not proof of concept

KPIs defined up front - minutes saved, defects caught, throughput lifted. Measured against a baseline.

01
First principles, not frameworks

Start from how your business actually works - constraints, edge cases, hidden rules. Design the simplest agent that proves the idea.

02
Working software over slideware

Every engagement anchored on a prototype that runs on your infrastructure, with your data, in one real workflow.

03
Your data, your IP

Deployed on Swiss/EU infrastructure when needed. You own the components, model weights, and integrations. No black box.

How It Works

1-2 weeks

Discovery

Map one workflow where an agent can move the needle. Capture current process, systems, data. Agree on 1-2 KPIs and a baseline. You know exactly what we'll build and how we'll measure it.

3-5 weeks

Minimum Viable Agent

Build a working prototype on your data. Small set of tools wired for one workflow. Simple interface. Safety, audit, logging from the first commit.

2-3 weeks

Improvement

Run in shadow or limited production. Tune prompts, retrieval, tools based on real cases. Add guardrails as we see failure modes. Goal: better than today, with a clear story why.

1-2 weeks

Production Handover

Harden integration, security, monitoring. Document the system. Add MLOps so your teams can evolve it. Clarify ownership and runbooks. Hand over.

Timelines vary by scope and integration complexity. But the pattern holds: working prototype in weeks, not months.

What We Don't Do

What We Don't Do
Run 6-month discovery phases
Build on our infrastructure
Keep the IP
Require ongoing retainers
Promise magic
Why
You don't need more analysis. You need a prototype to react to.
Your data stays on your systems. We build there.
Everything we build is yours. Code, models, documentation.
We hand over. Your team runs it. We exit.
If it won't work, we tell you in Discovery - not month six.

What You Walk Away With

Everything documented. Yours to keep. No lock-in.

Baseline KPIs documented

Working prototype on your data

Agent architecture and integration docs

MLOps setup for ongoing improvement

Runbooks and ownership clarity

Playbook for the next use case

Not a report. A system that runs.

Questions & Answers

FAQs

Everything you need to know about how we work.

How long does this take?

8-12 weeks from kickoff to production handover. Discovery is 1-2 weeks. You have a working prototype by week 5-6.

What if Discovery shows it won't work?

We tell you. You've spent 1-2 weeks and a fraction of the budget to find out - not six months.

Do we need to prepare anything?

Access to the workflow, the data, and the people who do the work today. We handle the rest.

What if we want to expand to more use cases?

The playbook we hand over covers exactly that. Run it internally or bring us back.

Who owns the IP?

You do. Code, models, weights, documentation. Yours to extend, modify, operate.

8–12 weeks

From kickoff to production system. Not a demo—a working system on your infrastructure.

20+ years shipping ML100% IP ownershipNo vendor lock-inYour infrastructure