Integrate AI into your systems

You want to turn AI opportunities into real value.

We help you find where to add it.

Then we help you design and implement it.

opportunity

Use AI where it creates value

Your systems already contain business logic, workflows, constraints, and valuable opportunities for automation. If you can understand those systems well enough to change them confidently, and if you can steer AI in line with your goals, you can accelerate existing work and create new value.

challenge

AI is easy to access, hard to apply

Adopting AI is a two-sided challenge. First, you have to steer the AI so it behaves acceptably in your context. That requires specific wrangling skills, but that alone is not enough. To add AI well, you must identify what in your ecosystem to automate, determine where in your systems to add that automation, and then change the systems themselves. This seemingly boring part is what makes the overall effort difficult without a deep understanding of how the systems work today. Luckily, we are world experts in understanding systems.

solution

Iterate fast

AI is a sharp tool. To learn how to point it in the right direction, you need iterations.

Identify data sources. Assess their quality. Adjust upstream systems if needed.

Design the context for the AI. Specify the intent clearly. Understand the output.

All of this, fast.

result

Strategic adaptability

You get automation that creates immediate value.

You learn how to add further automation safely.

You learn how to understand your system better.

And because comprehension compounds, you can move ever faster.

See clearly before you change

A manually drawn picture about an existing system does not depict the system. It depicts the author's beliefs about the system and should not be the basis for any decision. Instead, make it the job of the system to draw itself. This applies to any aspect in a system, including architecture, data pipeline, or domain workflows.

Manually drawn data pipeline diagram

From manually drawn beliefs

System-generated data pipeline visualization

To system-generated facts

An AI integration journey

1

What to automate with AI

3 x 1h (free)

We work with business and engineering to identify high-friction, repeatable work where automation creates immediate leverage. We keep in mind that the most important decision of our time is to decide where the human fits in the decision making progress.

2

Where to add AI

1-4 weeks

We explore the system to assess the quality and availability of data, and to identify logical extension points.

We produce an initial prototype.

3

How to add AI

4 weeks+

We work with the team to implement and deploy an AI solution safely and incrementally.

Book your first free 1h workshop

Do we have hands-on AI experience?

We do. We created the concept of Moldable Chat: a way to explore with LLMs quickly. Let us tell you about it.

Do we work in your industry?
What about your specific technology?

We probably do. If not, we'll adapt quickly.

We have worked across domains including insurance, transportation, hospitality, semiconductors, data privacy, retail, automotive, and acoustics. We have also worked with systems written in Java/Spring Boot, C#, JavaScript/Angular/React, Python, PHP, Smalltalk, C++, Qt, Delphi, COBOL, SQL, Pega, and proprietary languages.

Ready to start the AI integration journey?

Take the first step toward integrating AI where it creates value. Book a free 1-hour workshop with our experts.

Book your free workshop