AI strategy and engineering for businesses

Less manual work.
Better decisions.

We design and build AI systems that improve business processes and products. We start with the problem, estimate the value of changing it, and measure what improves in everyday work.

Example interventions

From AI strategy to opportunities worth funding.

Three recurring situations where we help leadership decide what to change, in which order, and how to measure the result.

Documents slowing the team down

Extract and verify information, with human review where it matters.

Measure: time per case and errors

Knowledge that is hard to find

Search company sources with verifiable answers and appropriate access.

Measure: search time and quality

AI product ideas without priorities

Assess use cases before committing to development.

Measure: usage, cost, and value

AI strategy / management advisory

From strategic direction to a plan the organisation can execute.

We connect business goals, data, governance, and technology so interest in AI becomes sustainable decision-making.

01

Decide

Identify and prioritise opportunities by business value, feasibility, risk, and investment.

02

Prepare

Define use cases, data, context, quality, roles, and decision processes before delivery begins.

03

Adopt

Support leadership, teams, and partners through adoption, change, and measurement of realised value.

What we can do for you

A clear engagement, a useful outcome.

Start with an assessment, a plan you already need, or a project ready to build.

DESIGN

Build
the plan

We define the solution, cost, ownership, and timing before budget is committed.

You receive A delivery plan with criteria to measure the investment.

Transformation Blueprint
DELIVER

Make it work
in practice

We build the system or guide your team and partners through adoption.

You receive A verified, documented system with ongoing ownership.

Delivery and technical guidance

Why Quarzo.ai

Advanced research.
Operational responsibility.

Our team combines AI PhDs, European industrial research, and product work for complex organisations. We can assess the technology and support the people who will use it every day.

We connect leadership, governance, technical teams, and the people who will adopt the solution. We start with processes and metrics, make cost and risk explicit, and choose tools for the case.

Technical expertise, for those who want detail +

Generative AI, Document AI, RAG systems, vector databases, LLM fine-tuning, multimodal models, and evaluation. These are tools, not the commercial promise.

Founders' background

Founders’ Experience.

Experience built working on AI research, products and systems in international environments.

Industry

Fortune 500

Research

Top research

These categories describe the founders’ professional or research experience, including work carried out individually and independently of Quarzo.ai. They do not imply any partnership, sponsorship or endorsement by specific organisations.

For leaders and teams

People make AI work.

We support implementation with strategy and training grounded in everyday work.

AI strategy for leaders

A workshop to agree on priorities, investment, and ownership in language everyone can use.

Discuss it

Training for adoption

Practical programmes to use AI in processes, recognise its limits, and improve workflows.

Design a programme

Claude skills and workflows

A workshop to create reusable skills and more reliable recurring work.

Explore the workshop

Let us talk

What process or product do you want to improve?

Describe the problem and your goal. We will tell you whether we can help and what kind of engagement makes sense.

Please do not send personal data, code, or confidential documents through this form.

Frequently asked

Before we
start.

Three answers to help you decide quickly whether our way of working fits your context.

What is AI Strategy?+

It connects business goals, processes, data, and technology so you can decide where AI can create value and how to get there responsibly.

Do you work without an internal AI team?+

Yes. We need an internal sponsor and access to the people who know the product or process. Our support adapts to the organisation's maturity.

How do you measure the outcome?+

Before delivery, we define a useful measure for the case: time, quality, volume, risk, cost, or usage. If improvement cannot be measured, we say so.