Expertise01 / 08

AI & practical automation

I turn AI from a collection of experiments into a useful working layer for research, planning, content, customer journeys, prototyping and team operations.

The question

Where can AI improve the quality and speed of real work?

The advantage is not one tool or one prompt. It is a better loop between context, evidence, judgment and action. I start with the work itself, then choose the technology that can make it meaningfully better.

What I bring

Capabilities around
the real constraint.

01AI opportunity mapping
02Workflow and agent design
03Research and content systems
04Rapid prototyping
05Team adoption and guardrails
06Automation between existing tools

How I apply it

A working method,
not a fixed formula.

Map the work

Find repetition, delays, lost context and decisions that would benefit from better inputs.

Design the useful loop

Connect the right information, human judgment and action rather than automating in isolation.

Test in the operation

Prototype quickly, measure the real improvement and keep the team in control of the outcome.

Where it shows up

Applied across different
commercial realities.

SaaS & privacy

Cookie Control

AI-supported research, content planning, product communication and scalable customer education.

Multi-location services

Valessio & Hauméa

Faster local content, campaign production, operational knowledge and more consistent customer journeys.

Portfolio operations

L&AS Ventures

A shared working system for turning learning from several projects into better decisions across the portfolio.

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