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You’ve tried AI.
Nothing’s really
changed.

Scope: Operations
Operating Gap

The gap between experimenting and operating differently is real. We close it by mapping your workflows, building systems that fit, and training your team to run them.

See the approach
Project Specification
Client Foodspace AS Location Oslo, Norway Focus Automation: Prospect Research Engagement Early partners Duration 2 – 4 weeks
Mission

Most “AI transformation” automates the work that should not exist. Hanlon doesn’t.

We start somewhere unusual: the old question where can AI help us work faster? Then we ask the better one if we were starting from scratch today, how would we use AI to make this role more human? The answer is always the same shape. The busywork disappears. The thinking work stays. Your software becomes ephemeral, your team’s craft becomes the asset, and the work compounds without growing headcount.

Case Study
2,938
qualified leads generated

“We processed 5,187 companies in four days. Manual equivalent: three months of research. The automation changed our hiring and strategy priorities.”

Marius, Founder, Foodspace AS — Oslo, Norway
REF. S.03.26
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Founder
Hans-Jakob Brandt

Hans-Jakob Brandt

Founder — Design Systems, AI Operations

I’ve been designing how work happens since 2018, first in product design and design systems, now by building AI systems for service companies.

I started Hanlon because I kept meeting business owners who knew AI should change how they operate, but couldn’t get there alone. Every project is me, from first conversation to live system.

LinkedIn REF. S.04.01
Approach

How your team goes from using AI to running on it.

Discovery

We find a process that should not exist — the one your team would redesign if they had time.

First Step

Two to four weeks, fixed price, one workflow. Mapped from the inside, redesigned around what AI can now do.

Compound

The workflow runs on AI. A Runbook your team can hand to anyone. Self-improving loops behind it — you approve weekly until they auto-merge.

Partnership

Ongoing, monthly. After a year, the Thursday-evening problems are gone. The team is the same or smaller. The craft is sharper.

Self-check

Find out if AI fits your business before you build.

Fit Test

AI amplifies what's already working. If processes are loose or motivation is shallow, AI just makes the noise faster. We built a 19-question self-assessment so you can test that foundation before any tool, any vendor, any budget.

The Fit Report names the one thing to fix first — useful even if the verdict is not yet.

Assessment Specification
Duration 20 – 30 minutes Format Prompt for ChatGPT, Claude, or Gemini Privacy Answers stay with the AI you use Output A Fit Report you keep Cost None
REF. S.06.SPEC
Deliverables
Principle

Redesign the work, not the tools.

AI is just a toolset you bolt on. It demands rethinking how work itself is designed.

Principle

Your team keeps everything.

We build it. If we disappear tomorrow, your systems keep running.

Principle

Prove it first.

Before scaling anything, prove the workflow works. Trust is earned in deliverables, not decks.

Principle

The thinking stays. The busywork goes.

AI handles repetitive execution. Your people handle judgment, collaboration, and decisions under pressure.

Principle

Results before roadmaps.

We don’t ask you to bet on a forecast. We run a scoped piece of real work first, then you decide whether to continue based on what you saw.

Principle

We only take work we can finish.

We don’t work with every organization. Before anything starts, we figure out together whether the fit is real — because a bad engagement helps nobody.

Services

Six deliverables. One working system.

Bill of Materials REF. S.08.BOM
01 Process redesign
02 Business context for AI
03 Runbooks
04 Workflow automation
05 Team training + handover
06 Ongoing support

We’re early. That works in your favor.

Founding Rate

Founding client rates. The founder’s full attention, and a partner building their reputation on your results. One focused workflow. Two to four weeks.